PhysAI

Studies of theory of mind: Are intuitive physics and intuitive psychology independent
The fine structure of surprise in intuitive physics: when, why, and how much?
Intuitive physics of free fall: an information integration approach to the mass-speed belief
Empathizing, systemizing, intuitive physics and folk psychology in boys with Asperger syndrome
Evidence for an Intuitive Physics Engine in the Human Brain.
Intuitive science: Learned or triggered?
Intphys 2019: A benchmark for visual intuitive physics understanding
Computational models of intuitive physics
Intuitive test theory
The intuitive physics of the equilibrium of the lever and of the hydraulic pressures: Implications for the teaching of elementary physics
IntPhys: A Benchmark for Visual Intuitive Physics Reasoning
Comparing historical and intuitive explanations of motion: Does “naive physics” have a structure
Exploring students' intuitive ideas based on physics items in TIMSS-1995
Intuitive Physics for Soft-Body Locomotion
Intuitive or rational? Students and experts need to be both
Learning the intuitive physics of non-rigid object deformations
Intuitive theories
Intuitive Physics
Intuitive cognitive algebra of sliding friction
Intuitive consciousness and the logic of single field physics: A conscious synergy of worldviews and theories
LEARNING INTUITIVE PHYSICS THROUGH OBJECTS
Intuitive Cognition and the Formation of the Theories
Intuitive physics In his letter in the July issue of Physics Education, Stuart Leadstone makes the valid point that the 'questions about the solar
Intuitive test theory
An Intuitive Physics Study on the Role of Mass in Horizontal Collisions
When things don't fall: the counter-intuitive physics of balanced forces
Interactions Between Categorization and Intuitive Physics.
The interplay between intuitive psychology and intuitive sociology
Towards a Pre-Newtonian Intuitive Physics of Object Collisions.
Inferring the social meaning of objects with intuitive physics and Theory of Mind.
Epistemological beliefs in introductory physics
Failure to engage: Examining the impact of metacognitive interventions on persistent intuitive reasoning approaches
Evolved intuitive ontology: Integrating neural, behavioral and developmental aspects of domain-specificity
Toward an epistemology of physics
Intuitive Pathfinding of Autonomous Agents.
Clay and Medwin: An intuitive approach to the math and physics
Alternative conceptions versus intuitive rules
International handbook of research on conceptual change
The Time Has Come to Be Mindwanderful: Mind Wandering and the Intuitive Psychology Mode
Thermal physics
Intuitive decision making
Knowledge acquisition: Enrichment or conceptual change
Intuitive vs. formal reasoning in introductory physics
PhysIK: Physically Plausible and Intuitive Keyframing.
Corrigendum to" Interactive real-time physics: An intuitive approach to form-finding and structural analysis for design and education"[Computer-Aided Design 61 (2015 …
Intuitive outline of the solution of a basic combinatorial problem
A Bayesian framework for modeling intuitive dynamics
How to create an intuitive design
E= mc2: An intuitive derivation
Intuitive approach to defects in liquid crystals
Intuitive Experimentation in the Physical World
The intuitive inadequacy of classical statistics
The Invisible Hand as an Intuitive Sociological Explanation
Developing an Intuitive Grasp of Exponential Functions from Real World Examples
Intuitive Navigation in Computer Applications for People with Parkinson's
Is Intuitive Psychology Bad for Psychology? Reply to Krueger
Handlebars for the Yamahas: The struggle toward more intuitive programming of FM synthesizers
A physically-grounded and data-efficient approach to motion prediction using black-box optimization
AN INTUITIVE APPROACH TO MODELLING AND SIMULATION.
An existence theorem via an intuitive idea and fixed-point theorems
Use 3D Graphics Learning Environment to Help Students Comprehend Non-Intuitive Science Concepts
Book Review: Confronting Intuitive Theories
Enhancement of Intuitive Reasoning Through Precision Teaching and Simulations
Commentaries: Intuitive Phonatory Function Model: A Theory in Need of More Evidence
Active Surface Meshes for Intuitive 3-D Computer Graphics Shape Deformation and Modelling
The Nature of Science and Intuitive Cognition
A Bayesian Framework for Modeling Intuitive Dynamics
Progress toward more intuitive programming of FM synthesizers
Thermodynamics and an Introduction to Thermostatistics
Developing an Intuitive Grasp of Exponential Functions from Real World Examples David M. Rheam Buffalo State College
Intuitive spatial interaction in landscape design
THE INTUITIVE INADEQUACY OF CLASSICAL STATISTICS
Knowledge as design
WIP: On Teaching and Learning the Concept of an Inverse Function: A Visual and Intuitive Approach
Principles of advanced mathematical physics
INTUITIVE AND FAST SIMULATION FOR SOFT AND VISCOUS SUBSTANCES
Bunch shape evolution near transition: an intuitive approach
Calculus-based physics without lectures
An introduction to polymer physics
Introduction to Statistics: An Intuitive Guide for Analyzing Data and
Information is physical
Intuitive description of emittance compensation and its application to beam transport lines
Magnetism in condensed matter
Intuitive Curvature: No Relation to the Riemann Tensor
An Intuitive Interface for Human Performance Tracking with Simulated Characters
Chapter Five A Theoretical Basis for Integrating Rational and Intuitive Processing in Engineering Curricula Through Art
Thermal postbuckling of uniform columns: a simple intuitive method
Why did Einstein's programme supersede Lorentz's?(I)
Imagination-based decision making with physical models in deep neural networks
Flexible social inference facilitates targeted social learning when rewards are not observable
Are Deep Neural Networks SMARTer than Second Graders?
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Top-Down Synthesis for Library Learning
Is Conditional Generative Modeling all you need for Decision-Making?
On the Complexity of Bayesian Generalization
Composing Ensembles of Pre-trained Models via Iterative Consensus
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions
Retrospectives on the Embodied AI Workshop
Revisiting the Roles of "Text" in Text Games
Giants Transiting Giants III: An eccentric warm Jupiter supports a period-eccentricity relation for giant s transiting evolved stars
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Robust Change Detection Based on Neural Descriptor Fields
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
3D Concept Grounding on Neural Fields
Finding Fallen Objects Via Asynchronous Audio-Visual Integration
Prompting Decision Transformer for Few-Shot Policy Generalization
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Drawing out of Distribution with Neuro-Symbolic Generative Models
Learning Neuro-Symbolic Skills for Bilevel Planning
Learning Iterative Reasoning through Energy Minimization
Compositional Visual Generation with Composable Diffusion Models
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
Identifying concept libraries from language about object structure
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Unsupervised Discovery and Composition of Object Light Fields
Planning with Diffusion for Flexible Behavior Synthesis
Learning Neural Acoustic Fields
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
Building 3D Generative Models from Minimal Data
Linking Emergent and Natural Languages via Corpus Transfer
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Predicate Invention for Bilevel Planning
Grammar-Based Grounded Lexicon Learning
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
Noether Networks: Meta-Learning Useful Conserved Quantities
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
Transplanting Trees: Chromatic Symmetric Function Results through the Group Algebra of SnS_n
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
3DP3: 3D Scene Perception via Probabilistic Programming
Learning Signal-Agnostic Manifolds of Neural Fields
Unsupervised Learning of Compositional Energy Concepts
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
Learning to Compose Visual Relations
Incorporating Rich Social Interactions Into MDPs
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
OPEn: An Open-ended Physics Environment for Learning Without a Task
The Mission Target Selection Procedure
Identity-Expression Ambiguity in 3D Morphable Face Models
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Learning to solve complex tasks by growing knowledge culturally across generations
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind
Temporal and Object Quantification Networks
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Leveraging Language to Learn Program Abstractions and Search Heuristics
Communicating Natural Programs to Humans and Machines
Physion: Evaluating Physical Prediction from Vision in Humans and Machines || gravity
TOI-674b: an oasis in the desert of exo-Neptunes transiting a nearby M dwarf
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Probabilistic Programming Bots in Intuitive Physics Game Play
Vector-based Pedestrian Navigation in Cities
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Learning Task Decomposition with Ordered Memory Policy Network
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Learning Symbolic Operators for Task and Motion Planning
The Objects of Interest Catalog from the Prime Mission
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
AGENT: A Benchmark for Core Psychological Reasoning
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
Improved Contrastive Divergence Training of Energy Based Models
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Neural Radiance Flow for 4D View Synthesis and Video Processing
Representing Partial Programs with Blended Abstract Semantics
Object-Centric Diagnosis of Visual Reasoning
Multi-Plane Program Induction with 3D Box Priors
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
Building 3D Morphable Models from a Single Scan
The Magellan- Survey I: Survey Description and Mid-Survey Results
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Learning abstract structure for drawing by efficient motor program induction
TOI-824 b: A New on the Lower Edge of the Hot Neptune Desert
End-to-End Optimization of Scene Layout
Foley Music: Learning to Generate Music from Videos
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events
Learning to learn generative programs with Memoised Wake-Sleep
Unsupervised Discovery of 3D Physical Objects from Video
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Perspective Plane Program Induction from a Single Image
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
TIC 278956474: Two close binaries in one young quadruple system, identified by \textit{}
Learning Physical Graph Representations from Visual Scenes
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
A Morphable Face Albedo Model
Visual Grounding of Learned Physical Models
Music Gesture for Visual Sound Separation
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
Too many cooks: Bayesian inference for coordinating multi-agent collaboration
Learning Compositional Rules via Neural Program Synthesis
Visual Concept-Metaconcept Learning
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Accurate Vision-based Manipulation through Contact Reasoning
Entity Abstraction in Visual Model-Based Reinforcement Learning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
Program-Guided Image Manipulators
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Finding Friend and Foe in Multi-Agent Games
Neurally-Guided Structure Inference
Three Red Suns in the Sky: A Transiting, strial in a Triple M Dwarf System at 6.9 Parsecs
The Revised Input Catalog and Candidate Target List
Explaining intuitive difficulty judgments by modeling physical effort and risk
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Combining Physical Simulators and Object-Based Networks for Control
Unsupervised Discovery of Parts, Structure, and Dynamics
Infinite Mixture Prototypes for Few-Shot Learning
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Learning to Infer Program Sketches
The Omniglot challenge: a 3-year progress report
On the Units of GANs (Extended Abstract)
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Learning to Infer and Execute 3D Shape Programs
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Learning to Reconstruct Shapes from Unseen Classes
Visual Object Networks: Image Generation with Disentangled 3D Representation
Spiders and their Kin: An Investigation of Stanley's Chromatic Symmetric Function for Spiders and Related Graphs
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Seeing Tree Structure from Vibration
Learning Shape Priors for Single-View 3D Completion and Reconstruction
Modeling human intuitions about liquid flow with particle-based simulation
Propagation Networks for Model-Based Control Under Partial Observation
Physical Primitive Decomposition
3D-Aware Scene Manipulation via Inverse Graphics
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
3D Shape Perception from Monocular Vision, Touch, and Shape Priors
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks
Flexible Neural Representation for Physics Prediction
Relational inductive bias for physical construction in humans and machines
Word learning and the acquisition of syntactic--semantic overhypotheses
Discovery and usage of joint attention in images
3D Interpreter Networks for Viewer-Centered Wireframe Modeling
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation
Meta-Learning for Semi-Supervised Few-Shot Classification
The Three Pillars of Machine Programming
Self-Supervised Intrinsic Image Decomposition
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions
Learning to Infer Graphics Programs from Hand-Drawn Images
Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning
A Compositional Object-Based Approach to Learning Physical Dynamics
The Emergence of Organizing Structure in Conceptual Representation
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Human collective intelligence as distributed Bayesian inference
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Single Image 3D Interpreter Network
Building Machines That Learn and Think Like People
Understanding Visual Concepts with Continuation Learning
Modeling Human Ad Hoc Coordination
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model
Risk and Regret of Hierarchical Bayesian Learners
Deep Convolutional Inverse Graphics Network
When Computer Vision Gazes at Cognition
Inverse Graphics with Probabilistic CAD Models
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
ary Candidates Observed by Kepler IV: Sample From Q1-Q8 (22 Months)
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
Exploiting compositionality to explore a large space of model structures
Kepler-47: A Transiting Circumbinary Multi- System
Structured Priors for Structure Learning
Church: a language for generative models
The Infinite Latent Events Model
Transit Timing Observations from Kepler: II. Confirmation of Two Multi Systems via a Non-parametric Correlation Analysis
Transit Timing Observations from Kepler: III. Confirmation of 4 Multiple Systems by a Fourier-Domain Study of Anti-correlated Transit Timing Variations
Kepler 18-b, c, and d: A System Of Three s Confirmed by Transit Timing Variations, Lightcurve Validation, Spitzer Photometry and Radial Velocity Measurements
The hot-Jupiter Kepler-17b: discovery, obliquity from stroboscopic starspots, and atmospheric characterization
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues
One Artist's Personal Reflections on Methods and Ethics of Creating Mixed Media Artificial Intelligence Art
A Seven-Layer Model for Standardising AI Fairness Assessment
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems
Requirements Engineering for Artificial Intelligence Systems: A Systematic Mapping Study
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
Three lines of defense against risks from AI
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Manifestations of Xenophobia in AI Systems
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Artificial Intelligence for Health Message Generation: Theory, Method, and an Empirical Study Using Prompt Engineering
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI's Diffusion versus OpenAI's Dall-E
The purpose of qualia: What if human thinking is not (only) information processing?
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
Deep Fake Detection, Dence and Response: Challenges and Opportunities
An Audit Framework for Technical Assessment of Binary Classifiers
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
AI Ethics in Smart Healthcare
Bad, mad and cooked apples: Responsibility for unlawful targeting in human-AI military teams
Is Decentralized AI Safer?
Zero-shot Visual Commonsense Immorality Prediction
Privacy Meets Explainability: A Comprehensive Impact Benchmark
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization
Machine learning can guide experimental approaches for protein digestibility estimations
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
On the Efficiency of Ethics as a Governing Tool for Artificial Intelligence
Trustworthy Human Computation: A Survey
Review of the state of the art in autonomous artificial intelligence
AI Governance and Ethics Framework for Sustainable AI and Sustainability
Best Practices in the Creation and Use of Emotion Lexicons
Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace
The Guilty (Silicon) Mind: Blameworthiness and Liability in Human-Machine Teaming
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)
Artificial virtuous agents in a multiagent tragedy of the commons
A Human Rights-Based Approach to Responsible AI
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?
Environmental and Social Sustainability of Creative-Ai
SCALES: From Fairness Principles to Constrained Decision-Making
Current and Near-Term AI as a Potential Existential Risk Factor
Dislocated Accountabilities in the AI Supply Chain: Modularity and Developers' Notions of Responsibility
Documenting use cases in the affective computing domain using Unified Modeling Language
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
Towards Robust Off-Policy Evaluation via Human Inputs
Responsible AI Pattern Catalogue: A Multivocal Literature Review
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
The Ethical Need for Watermarks in Machine-Generated Language
Guidelines to Develop Trustworthy Conversational Agents for Children
Pathway to Future Symbiotic Creativity
Being at Home in the Metaverse? Prospectus for a Social Imaginary
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning
Principles for Macro Ethics of Sociotechnical Systems: Taxonomy and Future Directions
Multi-AI Complex Systems in Humanitarian Response
A Trust Framework for Government Use of Artificial Intelligence and Automated Decision Making
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue
Explainable Reinforcement Learning on Financial Stock Trading using SHAP
A Framework for Understanding and Visualizing Strategies of RL Agents
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Developing moral AI to support antimicrobial decision making
The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study
Let it RAIN for Social Good
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Ever heard of ethical AI? Investigating the salience of ethical AI issues among the German population
Ethics for social robotics: A critical analysis
Democratizing Ethical Assessment of Natural Language Generation Models
Automated Kantian Ethics: A Faithful Implementation
Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making
Mimetic Models: Ethical Implications of AI that Acts Like You
Can You Fool AI by Doing a 180? –\unicode{x2013} A Case Study on Authorship Analysis of Texts by Arata Osada
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Value-based Engineering with IEEE 7000TM
Fine-grained Activities of People Worldwide
A Framework for Auditing Multilevel Models using Explainability Methods
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation
AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial
American == White in Multimodal Language-and-Image AI
Achievement and Fragility of Long-term Equitability
Never trust, always verify : a roadmap for Trustworthy AI?
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
A Survey of the Potential Long-term Impacts of AI
AI Challenges for Society and Ethics
A method for ethical AI in Defence: A case study on developing trustworthy autonomous systems
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning
German AI Start-Ups and AI Ethics: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation
How to Assess Trustworthy AI in Practice
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines
The Fallacy of AI Functionality
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making
Definition drives design: Disability models and mechanisms of bias in AI technologies
AI Ethics Issues in Real World: Evidence from AI Incident Database
Respect as a Lens for the Design of AI Systems
Legal Provocations for HCI in the Design and Development of Trustworthy Autonomous Systems
Causal Discovery for Fairness
Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments
What should AI see? Using the Public's Opinion to Determine the Perception of an AI
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
Automating Ambiguity: Challenges and Pitfalls of Artificial Intelligence
The Algorithmic Imprint
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis
A Transparency Index Framework for AI in Education
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study
What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation Model
Prismal view of ethics
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy
Responsible Artificial Intelligence -- from Principles to Practice
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics
Federated Anomaly Detection over Distributed Data Streams
How Different Groups Prioritize Ethical Values for Responsible AI
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Towards Implementing Responsible AI
The Forgotten Margins of AI Ethics
What does it mean to be an AI Ethicist: An ontology of existing roles
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
The AI Index 2022 Annual Report
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Big Tech Companies Impact on Research at the Faculty of Information Technology and Electrical Engineering
State-of-the-art in Open-domain Conversational AI: A Survey
AI-Driven Contextual Advertising: A Technology Report and Implication Analysis
The Risks of Machine Learning Systems
Identifying Ethical Issues in AI Partners in Human-AI Co-Creation
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence
Metaethical Perspectives on 'Benchmarking' AI Ethics
Broadening AI Ethics Narratives: An Indic Art View
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes
Leveraging Privacy Profiles to Empower Users in the Digital Society
A Principles-based Ethical Assurance Argument for AI and Autonomous Systems
Big data ethics, machine ethics or information ethics? Navigating the maze of applied ethics in IT
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Towards a Roadmap on Software Engineering for Responsible AI
Toward Ethical AIED
AI agents for facilitating social interactions and wellbeing
Moral Dilemmas for Moral Machines
Needs and Artificial Intelligence
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Enabling Automated Machine Learning for Model-Driven AI Engineering
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
Towards Practices for Human-Centered Machine Learning
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics
Relational Artificial Intelligence
State of AI Ethics Report (Volume 6, February 2022)
Needs-aware Artificial Intelligence: AI that 'serves [human] needs'
An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
Science Facing Interoperability as a Necessary Condition of Success and Evil
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET
Fooling MOSS Detection with Pretrained Language Models
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
Can Machine Learning be Moral?
AI and the Sense of Self
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing
The Human Factor in AI Safety
From the Ground Truth Up: Doing AI Ethics from Practice to Principles
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Artificial Intelligence Ethics and Safety: practical tools for creating "good" models
Developing a Trusted Human-AI Network for Humanitarian Benefit
Towards Intelligent Context-Aware 6G Security
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities
Est-ce que vous compute? Code-switching, cultural identity, and AI
Filling gaps in trustworthy development of AI
AI Ethics Principles in Practice: Perspectives of Designers and Developers
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
The MAIEI Learning Community Report
Meaningful human control: actionable properties for AI system development
Achieving a Data-driven Risk Assessment Methodology for Ethical AI
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
Australia's Approach to AI Governance in Security and Defence
P4AI: Approaching AI Ethics through Principlism
Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic Buildings
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
Sustainable Artificial Intelligence through Continual Learning
Enabling human-centered AI: A new junction and shared journey between AI and HCI communities
Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
Automated scholarly paper review: Technologies and challenges
Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
AI Federalism: Shaping AI Policy within States in Germany
Artistic Autonomy in AI Art
Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications
On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good?
A Word on Machine Ethics: A Response to Jiang et al. (2021)
AI and Blackness: Towards moving beyond bias and representation
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
How Should AI Interpret Rules? A Defense of Minimally Defeasible Interpretive Argumentation
Normative Epistemology for Lethal Autonomous Weapons Systems
Foundations for the Future: Institution building for the purpose of Artificial Intelligence governance
Machine Learning Featurizations for AI Hacking of Political Systems
Can Machines Learn Morality? The Delphi Experiment
Designing Language Technologies for Social Good: The Road not Taken
A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA
Ethical Assurance: A practical approach to the responsible design, development, and deployment of data-driven technologies
Using Edge Cases to Disentangle Fairness and Solidarity in AI Ethics
Towards AI Logic for Social Reasoning
Human Capabilities as Guiding Lights for the Field of AI-HRI: Insights from Engineering Education
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation
Towards a Governance Framework for Brain Data
Actionable Approaches to Promote Ethical AI in Libraries
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis
Ethics of AI: A Systematic Literature Review of Principles and Challenges
Rethinking Trust in Social Robotics
Fairness and Data Protection Impact Assessments
Have a break from making decisions, have a MARS: The Multi-valued Action Reasoning System
Dutch Comfort: The limits of AI governance through municipal registers
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
Impossibility Results in AI: A Survey
Problem Learning: Towards the Free Will of Machines
An Artificial Intelligence Life Cycle: From Conception to Production
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Artificial Intelligence in the Global South (AI4D): Potential and Risks
Artificial Intelligence Ethics: An Inclusive Global Discourse?
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives
In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance
On the Opportunities and Risks of Foundation Models
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
The State of AI Ethics Report (Volume 5)
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
The ghost of AI governance past, present and future: AI governance in the European Union
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence
Ethical AI for Social Good
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
The social dilemma in artificial intelligence development and why we have to solve it
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
Philosophical Specification of Empathetic Ethical Artificial Intelligence
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Fairer Software Made Easier (using "Keys")
Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI
Ethics Sheets for AI Tasks
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions
Ethical AI-Powered Regression Test Selection
Building Bridges: Generative Artworks to Explore AI Ethics
On Fairness and Interpretability
CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
A Systematic Collection of Medical Image Datasets for Deep Learning
ESR: Ethics and Society Review of Artificial Intelligence Research
A Deontic Stit Logic Based on Beliefs and Expected Utility
A Turing Test for Transparency
Institutionalising Ethics in AI through Broader Impact Requirements
Know Your Model (KYM): Increasing Trust in AI and Machine Learning
Hard Choices in Artificial Intelligence
FairCanary: Rapid Continuous Explainable Fairness
Towards Social Role-Based Interruptibility Management
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI
An Assessment of the AI Regulation Proposed by the European Commission
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Towards Knowledge Organization Ecosystems
AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction
The State of AI Ethics Report (Volume 4)
The State of AI Ethics Report (January 2021)
AI and Ethics -- Operationalising Responsible AI
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
AI and Shared Prosperity
Towards Equity and Algorithmic Fairness in Student Grade Prediction
The Coloniality of Data Work in Latin America
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Loss-Aversively Fair Classification
An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)
Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations
Reconfiguring Diversity and Inclusion for AI Ethics
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers
Envisioning Communities: A Participatory Approach Towards AI for Social Good
Towards Accountability in the Use of Artificial Intelligence for Public Administrations
Explaining how your AI system is fair
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization
Ethics-Based Auditing to Develop Trustworthy AI
Collaborative Human-Agent Planning for Resilience
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI
A Framework for Ethical AI at the United Nations
The Myth of Complete AI-Fairness
Causal Learning for Socially Responsible AI
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Reconsidering CO2 emissions from Computer Vision
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences
Towards a New Participatory Approach for Designing Artificial Intelligence and Data-Driven Technologies
Voluntary safety commitments provide an escape from over-regulation in AI development
Future of work: ethics
Towards An Ethics-Audit Bot
Automation: An Essential Component Of Ethical AI?
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
Understanding the Representation and Representativeness of Age in AI Data Sets
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts
When is it permissible for artificial intelligence to lie? A trust-based approach
Medical Imaging and Machine Learning
Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions
Towards Unbiased and Accurate Deferral to Multiple Experts
Actionable Principles for Artificial Intelligence Policy: Three Pathways
Quantifying Confounding Bias in Generative Art: A Case Study
Fair and Responsible AI: A Focus on the Ability to Contest
Ethics as a service: a pragmatic operationalisation of AI Ethics
AI Can Stop Mass Shootings, and More
Towards the Right Kind of Fairness in AI
The corruptive force of AI-generated advice
AI Ethics Needs Good Data
Why Talking about ethics is not enough: a proposal for Fintech's AI ethics
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
The Sanction of Authority: Promoting Public Trust in AI
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
Convergence Voting: From Pairwise Comparisons to Consensus
Time for AI (Ethics) Maturity Model Is Now
Making Responsible AI the Norm rather than the Exception
Moral and Social Ramifications of Autonomous Vehicles
Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices
Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy
The Challenge of Value Alignment: from Fairer Algorithms to AI Safety
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences
An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections
Artificial Intelligence Development Races in Heterogeneous Settings
Digital me ontology and ethics
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
Taking Principles Seriously: A Hybrid Approach to Value Alignment
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
An Approach to Intelligent Pneumonia Detection and Integration
Brain Co-Processors: Using AI to Restore and Augment Brain Function
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
The Managerial Effects of Algorithmic Fairness Activism
Anticipatory Ethics and the Role of Uncertainty
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
Like a Researcher Stating Broader Impact For the Very First Time
AI virtues -- The missing link in putting AI ethics into practice
Training Ethically Responsible AI Researchers: a Case Study
AI Governance for Businesses
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies
Behavioral Use Licensing for Responsible AI
The State of AI Ethics Report (October 2020)
Ideal theory in AI ethics
Exploring the Nuances of Designing (with/for) Artificial Intelligence
Biases in Generative Art -- A Causal Look from the Lens of Art History
A New Charter of Ethics and Rights of Artificial Consciousness in a Human World
Artificial Tikkun Olam: AI Can Be Our Best Friend in Building an Open Human-Computer Society
Monitoring Trust in Human-Machine Interactions for Public Sector Applications
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
Towards a Policy-as-a-Service Framework to Enable Compliant, Trustworthy AI and HRI Systems in the Wild
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches
Privacy and Data Balkanization: Circumventing the Barriers
The Short Anthropological Guide to the Study of Ethical AI
Accounts, Accountability and Agency for Safe and Ethical AI
Signs for Ethical AI: A Route Towards Transparency
Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures
Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
A narrowing of AI research?
Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
On the Fairness of 'Fake' Data in Legal AI
Respect for Human Autonomy in Recommender Systems
Explainability Case Studies
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
Progressing Towards Responsible AI
Expected Utilitarianism
Bias and Discrimination in AI: a cross-disciplinary perspective
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles
Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage
Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App
Montreal AI Ethics Institute's (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session
Aligning AI With Shared Human Values
Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI
Ethics of Artificial Intelligence in Surgery
The societal and ethical relevance of computational creativity
The Future of Work Is Here: Toward a Comprehensive Approach to Artificial Intelligence and Labour
Good AI for the Present of Humanity Democratizing AI Governance
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation
Could regulating the creators deliver trustworthy AI?
The State of AI Ethics Report (June 2020)
A Methodology for Creating AI FactSheets
Towards Contrastive Explanations for Comparing the Ethics of Plans
Artificial intelligence in space
Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for shifting Organizational Practices
A blindspot of AI ethics: anti-fragility in statistical prediction
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Data-Driven Game Development: Ethical Considerations
"EHLO WORLD" -- Checking If Your Conversational AI Knows Right from Wrong
Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
The Social Contract for AI
Ethical Considerations for AI Researchers
Response to Office of the Privacy Commissioner of Canada Consultation Proposals pertaining to amendments to PIPEDA relative to Artificial Intelligence
Montreal AI Ethics Institute's Response to Scotland's AI Strategy
SECure: A Social and Environmental Certificate for AI Systems
The Tragedy of the AI Commons
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms
Regulating Artificial Intelligence: Proposal for a Global Solution
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal
IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence
Designing for Human Rights in AI
Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy
ECCOLA -- a Method for Implementing Ethically Aligned AI Systems
On the Ethics of Building AI in a Responsible Manner
AI loyalty: A New Paradigm for Aligning Stakeholder Interests
Fairway: A Way to Build Fair ML Software
Gender Representation in Open Source Speech Resources
Harnessing Explanations to Bridge AI and Humans
Getting Fairness Right: Towards a Toolbox for Practitioners
Ethics in the digital era
The Conflict Between People's Urge to Punish AI and Legal Systems
No computation without representation: Avoiding data and algorithm biases through diversity
Ethics of Food Recommender Applications
Steps Towards Value-Aligned Systems
Trustworthy AI in the Age of Pervasive Computing and Big Data
Learning Occupational Task-Shares Dynamics for the Future of Work
Functionally Effective Conscious AI Without Suffering
A Set of Distinct Facial Traits Learned by Machines Is Not Predictive of Appearance Bias in the Wild
Diversity and Inclusion Metrics in Subset Selection
Machine Ethics: The Creation of a Virtuous Machine
Deontological Ethics By Monotonicity Shape Constraints
Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
Bias in Data-driven AI Systems -- An Introductory Survey
Towards organizational guidelines for the responsible use of AI
Towards a framework for understanding societal and ethical implications of Artificial Intelligence
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'
Activism by the AI Community: Analysing Recent Achievements and Future Prospects
A Formal Approach to Explainability
Social and Governance Implications of Improved Data Efficiency
Robot Rights? Let's Talk about Human Welfare Instead
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules
Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries
Declarative Mechanism Design
On Quantified Modal Theorem Proving for Modeling Ethics
U.S. Public Opinion on the Governance of Artificial Intelligence
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation
On the Morality of Artificial Intelligence
The Windfall Clause: Distributing the Benefits of AI for the Common Good
Defining AI in Policy versus Practice
Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Research on Crime
Exploring AI Futures Through Role Play
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences
Algorithmic Injustices: Towards a Relational Ethics
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
Reporting on Decision-Making Algorithms and some Related Ethical Questions
AI Ethics for Systemic Issues: A Structural Approach
Fair Allocation through Selective Information Acquisition
Scenarios and Recommendations for Ethical Interpretive AI
Mathematical decisions and non-causal elements of explainable AI
AI Ethics in Industry: A Research Framework
Solidarity should be a core ethical principle of Artificial Intelligence
Challenges of Human-Aware AI Systems
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development
FACE: Feasible and Actionable Counterfactual Explanations
Raiders of the Lost Art
Attesting Biases and Discrimination using Language Semantics
Pretrained AI Models: Performativity, Mobility, and Change
Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing
AI and Accessibility: A Discussion of Ethical Considerations
Fairness Issues in AI Systems that Augment Sensory Abilities
Oxford Handbook on AI Ethics Book Chapter on Race and Gender
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
Adapting SQuaRE for Quality Assessment of Artificial Intelligence Systems
What is the Point of Fairness? Disability, AI and The Complexity of Justice
To regulate or not: a social dynamics analysis of the race for AI supremacy
Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence
Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health
Grounding Value Alignment with Ethical Principles
Artificial Intelligence Governance and Ethics: Global Perspectives
Requisite Variety in Ethical Utility Functions for AI Value Alignment
Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study
Artificial Intelligence: the global landscape of ethics guidelines
Towards Empathic Deep Q-Learning
Principles alone cannot guarantee ethical AI
Understanding artificial intelligence ethics and safety
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Digital Normativity: A challenge for human subjectivization and free will
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Ethically Aligned Design: An empirical evaluation of the RESOLVEDD-strategy in Software and Systems development context
Integrating Artificial Intelligence into Weapon Systems
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
The role of artificial intelligence in achieving the Sustainable Development Goals
Teaching AI, Ethics, Law and Policy
Ethics of Artificial Intelligence Demarcations
Augmented Utilitarianism for AGI Safety
Big Data Analytics and AI in Mental Healthcare
Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability
Responses to a Critique of Artificial Moral Agents
Theories of Parenting and their Application to Artificial Intelligence
The Ethics of AI Ethics -- An Evaluation of Guidelines
Degenerate Feedback Loops in Recommender Systems
Conservative Agency via Attainable Utility Preservation
Safe Artificial General Intelligence via Distributed Ledger Technology
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
Ethically Aligned Opportunistic Scheduling for Productive Laziness
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function)
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Human-AI Learning Performance in Multi-Armed Bandits
Interaction Design for Explainable AI: Workshop Proceedings
Linking Artificial Intelligence Principles
Building Ethically Bounded AI
Toward the Engineering of Virtuous Machines
Building Ethics into Artificial Intelligence
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing
Mimetic vs Anchored Value Alignment in Artificial Intelligence
Can everyday AI be ethical. Fairness of Machine Learning Algorithms
Defining the Collective Intelligence Supply Chain
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork -The STAR Framework
The Key Concepts of Ethics of Artificial Intelligence - A Keyword based Systematic Mapping Study
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Incorporating Behavioral Constraints in Online AI Systems
Towards Composable Bias Rating of AI Services
The Virtuous Machine - Old Ethics for New Technology?
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base
Technology, Propaganda, and the Limits of Human Intellect
On Analyzing Self-Driving Networks: A Systems Thinking Approach
Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in Robots
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation
Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration
Cogniculture: Towards a Better Human-Machine Co-evolution
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
What's up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants
Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions
From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics
Using experimental game theory to transit human values to ethical AI
Maintaining The Humanity of Our Models
Socialbots supporting human rights
Society-in-the-Loop: Programming the Algorithmic Social Contract
Ethical Artificial Intelligence - An Open Question
Responsible Autonomy
On Automating the Doctrine of Double Effect
Towards Moral Autonomous Systems
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
Ethical Considerations in Artificial Intelligence Courses
Stoic Ethics for Artificial Agents
Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research
Long-Term Trends in the Public Perception of Artificial Intelligence
Semantics derived automatically from language corpora contain human-like biases
Mammalian Value Systems
The Dark Side of Ethical Robots
Unethical Research: How to Create a Malevolent Artificial Intelligence
Modeling Progress in AI
Taxonomy of Pathways to Dangerous AI
Towards Verifiably Ethical Robot Behaviour
Ethical Artificial Intelligence
Friendly Artificial Intelligence: the Physics Challenge
Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI's Diffusion versus OpenAI's Dall-E
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
A General Purpose Supervisory Signal for Embodied Agents
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
AI Ethics in Smart Healthcare
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances
Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning
Evaluating Data-Driven Co-Speech Gestures of Embodied Conversational Agents through Real-Time Interaction
On the Learning Mechanisms in Physical Reasoning
Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?
AI Governance and Ethics Framework for Sustainable AI and Sustainability
Dialog Acts for Task-Driven Embodied Agents
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue
AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers
Ever heard of ethical AI? Investigating the salience of ethical AI issues among the German population
Mimetic Models: Ethical Implications of AI that Acts Like You
DoRO: Disambiguation of referred object for embodied agents
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines
German AI Start-Ups and AI Ethics: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation
AI Challenges for Society and Ethics
AI Ethics Issues in Real World: Evidence from AI Incident Database
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
A method for ethical AI in Defence: A case study on developing trustworthy autonomous systems
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
The Forgotten Margins of AI Ethics
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
How Different Groups Prioritize Ethical Values for Responsible AI
Metaethical Perspectives on 'Benchmarking' AI Ethics
Identifying Ethical Issues in AI Partners in Human-AI Co-Creation
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction
Broadening AI Ethics Narratives: An Indic Art View
Toward Ethical AIED
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
LEBP -- Language Expectation & Binding Policy: A Two-Stream Framework for Embodied Vision-and-Language Interaction Task Learning Agents
PACS: A Dataset for Physical Audiovisual CommonSense Reasoning
A Principles-based Ethical Assurance Argument for AI and Autonomous Systems
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics
State of AI Ethics Report (Volume 6, February 2022)
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
Learning to reason about and to act on physical cascading events
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents
From the Ground Truth Up: Doing AI Ethics from Practice to Principles
Physical Reasoning in an Open World
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
Achieving a Data-driven Risk Assessment Methodology for Ethical AI
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
AI Ethics Principles in Practice: Perspectives of Designers and Developers
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU
P4AI: Approaching AI Ethics through Principlism
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA
Using Edge Cases to Disentangle Fairness and Solidarity in AI Ethics
TEACh: Task-driven Embodied Agents that Chat
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shaping embodied agent behavior with activity-context priors from egocentric video
Is my agent good enough? Evaluating Embodied Conversational Agents with Long and Short-term interactions
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
A Framework for Multisensory Foresight for Embodied Agents
Actionable Approaches to Promote Ethical AI in Libraries
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
Ethics of AI: A Systematic Literature Review of Principles and Challenges
Reasons, Persons, and Physics
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
The State of AI Ethics Report (Volume 5)
Phy-Q: A Testbed for Physical Reasoning
Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance
How Morphological Computation shapes Integrated Information in Embodied Agents
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
Ethics Sheets for AI Tasks
Ethical AI for Social Good
Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI
Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions
Intuition in Einsteinian Physics
Ethical AI-Powered Regression Test Selection
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning
PROST: Physical Reasoning of Objects through Space and Time
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI
Building Bridges: Generative Artworks to Explore AI Ethics
Institutionalising Ethics in AI through Broader Impact Requirements
GridToPix: Training Embodied Agents with Minimal Supervision
Reconfiguring Diversity and Inclusion for AI Ethics
AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
Curiosity-driven Intuitive Physics Learning
Ethics-Based Auditing to Develop Trustworthy AI
The State of AI Ethics Report (January 2021)
The State of AI Ethics Report (Volume 4)
AI and Ethics -- Operationalising Responsible AI
A Framework for Ethical AI at the United Nations
Natural science: Active learning in dynamic physical microworlds
Cophy: counterfactual learning of physical dynamics
Gravity as a Strong Prior: Implications for Perception and Action
Intuitive experimentation in the physical world
Force from Motion: Decoding Physical Sensation in a First Person Video
Probabilistic Programming Bots in Intuitive Physics Game Play
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer
Agent vs. Avatar: Comparing Embodied Conversational Agents Concerning Characteristics of the Uncanny Valley
Scene-Intuitive Agent for Remote Embodied Visual Grounding
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
Automation: An Essential Component Of Ethical AI?
Data in context: How digital transformation can support human reasoning in cyber-physical production systems
Let's be friends! A rapport-building 3D embodied conversational agent for the Human Support Robot
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Ethics as a service: a pragmatic operationalisation of AI Ethics
Physical Reasoning Using Dynamics-Aware Models
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach
Why Talking about ethics is not enough: a proposal for Fintech's AI ethics
Environment Predictive Coding for Embodied Agents
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
AI Ethics Needs Good Data
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Time for AI (Ethics) Maturity Model Is Now
Learning Intuitive Physics with Multimodal Generative Models
A Review of Evaluation Practices of Gesture Generation in Embodied Conversational Agents
An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies
Ideal theory in AI ethics
Solving Physics Puzzles by Reasoning about Paths
The State of AI Ethics Report (October 2020)
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Training Ethically Responsible AI Researchers: a Case Study
AI virtues -- The missing link in putting AI ethics into practice
Accounts, Accountability and Agency for Safe and Ethical AI
The Short Anthropological Guide to the Study of Ethical AI
A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations
Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures
Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI
The Physics Inventory of Quantitative Literacy: A tool for assessing mathematical reasoning in introductory physics
Signs for Ethical AI: A Route Towards Transparency
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
Montreal AI Ethics Institute's (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session
Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App
Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI
Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation
A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
Exploring student facility with "goes like'' reasoning in introductory physics
Montreal AI Ethics Institute's Response to Scotland's AI Strategy
Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
A blindspot of AI ethics: anti-fragility in statistical prediction
Ethical Considerations for AI Researchers
The State of AI Ethics Report (June 2020)
Forward Prediction for Physical Reasoning
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
Spatiotemporal Attacks for Embodied Agents
The incremental bulk modulus, Young's modulus and Poisson's ratio in nonlinear isotropic elasticity: physically reasonable response
Occlusion resistant learning of intuitive physics from videos
Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy
ECCOLA -- a Method for Implementing Ethically Aligned AI Systems
On the Ethics of Building AI in a Responsible Manner
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
On the Sensory Commutativity of Action Sequences for Embodied Agents
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
AI Ethics for Systemic Issues: A Structural Approach
Scenarios and Recommendations for Ethical Interpretive AI
PIQA: Reasoning about Physical Commonsense in Natural Language
A Conceptual Blend Analysis of Physics Quantitative Literacy Reasoning Inventory Items
Towards understanding and characterizing expert covariational reasoning in physics
AI Ethics in Industry: A Research Framework
Active Learning reduces academic risk of students with non-formal reasoning skills. Evidence from an introductory physics massive course in a Chilean public university
PHYRE: A New Benchmark for Physical Reasoning
AI and Accessibility: A Discussion of Ethical Considerations
Oxford Handbook on AI Ethics Book Chapter on Race and Gender
Requisite Variety in Ethical Utility Functions for AI Value Alignment
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization
Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence
Using psychometric tools as a window into students' quantitative reasoning in introductory physics
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Naturalness as a reasonable scientific principle in fundamental physics
Principles alone cannot guarantee ethical AI
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Explaining intuitive difficulty judgments by modeling physical effort and risk
Unsupervised Intuitive Physics from Past Experiences
Teaching AI, Ethics, Law and Policy
Inferring 3D Shapes of Unknown Rigid Objects in Clutter through Inverse Physics Reasoning
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
The Ethics of AI Ethics -- An Evaluation of Guidelines
Developing a reasoning inventory for measuring physics quantitative literacy
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Building Ethically Bounded AI
Say Hi to Eliza. An Embodied Conversational Agent on the Web
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing
Can everyday AI be ethical. Fairness of Machine Learning Algorithms
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Neural Allocentric Intuitive Physics Prediction from Real Videos
Interpretable Intuitive Physics Model
Gibson Env: Real-World Perception for Embodied Agents
On Evaluation of Embodied Navigation Agents
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Unsupervised Intuitive Physics from Visual Observations
Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
Ideas from Developmental Robotics and Embodied AI on the Questions of Ethics in Robots
Ontology-Based Reasoning about the Trustworthiness of Cyber-Physical Systems
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
Multifunctionality in embodied agents: Three levels of neural reuse
Reasoning about effects: from lists to cyber-physical agents
Adaptation to criticality through organizational invariance in embodied agents
Using experimental game theory to transit human values to ethical AI
-PMP: Enhancing Physics-based Motion Planners with Knowledge-based Reasoning
A mathematical bridge between discretized gauge theories in quantum physics and approximate reasoning in pairwise comparisons
Temporal and Physical Reasoning for Perception-Based Robotic Manipulation
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agents
Don't choose theories: Normative inductive reasoning and the status of physical theories
Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception
Informal Physical Reasoning Processes
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Information Theoretically Aided Reinforcement Learning for Embodied Agents
Learning Physical Intuition of Block Towers by Example
The Umwelt of an Embodied Agent -- A Measure-Theoretic Definition
Assessing Student Expertise in Introductory Physics with Isomorphic Problems, Part I: Performance on Non-intuitive Problem Pair from Introductory Physics
When physical intuition fails
Interactive video tutorials for enhancing problem solving, reasoning, and meta-cognitive skills of introductory physics students
Student facility with ratio and proportion: Mapping the reasoning space in introductory physics
Analogous Patterns of Student Reasoning Difficulties in Introductory Physics and Upper-Level Quantum Mechanics
grayStar3 - gray no more: More physical realism and a more intuitive interface - all still in a WWW browser
A naturalist account of the limited, and hence reasonable, effectiveness of mathematics in physics
Model-Based Reasoning in the Upper-Division Physics Laboratory: Framework and Initial Results
A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems
The Reasonable Effectiveness of Mathematics in the Physical Sciences
Enhancing Reasoning Skills in the Process of Teaching and Learning Physics via Dynamic Problem Solving Strategies: a Preparation for Future Learning
Developing Embodied Multisensory Dialogue Agents
Scientific reasoning abilities of non-science majors in physics-based courses
How students blend conceptual and formal mathematical reasoning in solving physics problems
The Dynamics of Students' Behaviors and Reasoning during Collaborative Physics Tutorial Sessions
Symmetry Extensions and Their Physical Reasons in the Kinetic and Hydrodynamic Plasma Models
Interior Kerr solutions with the Newman-Janis algorithm starting with static physically reasonable space-times
Physical intuition and time-dependent generalization of the Coulomb and Biot-Savart laws
Cultural differences in answering physics questions: Could they arise from the difference between reasoning expected in answering exam questions in those cultures?
The Object Coordination Class Applied to Wavepulses: Analysing Student Reasoning in Wave Physics
Constructing physically intuitive graph invariants
Mind Games: Game Engines as an Architecture for Intuitive Physics || gravity
Theory Learning as Stochastic Search in a Language of Thought || gravity
Bayesian Models of Conceptual Development: Learning as Building Models of the World || gravity
Learning Physical Parameters from Dynamic Scenes || gravity