AIES 2020: AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY

This page contains an index consisting of author-provided keywords.

A
Active learning	Social and Governance Implications of Improved Data Efficiency
activism	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Adversarial explanations	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
agent based modeling	An invitation to system-wide algorithmic fairness
Agent-Deed-Consequence (ADC) model	Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
AGI	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
AI	The Problem with Intelligence: Its Value-Laden History and the Future of AI The AI Liability Puzzle and a Fund-Based Work-Around
AI activity	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
AI and labour	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
AI benchmarks	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
AI ethics	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making Robot Rights? Let’s talk about human welfare instead Adoption Dynamics and Societal Impact of AI Systems in Complex Networks Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
AI ethics education	More Than "If Time Allows": The Role of Ethics in AI Education
AI governance	U.S. Public Opinion on the Governance of Artificial Intelligence Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
AI impact on jobs	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
AI intensity	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
AI Regulation	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
AI safety	Conservative Agency via Attainable Utility Preservation
AI writer	Ethics for AI Writing: The Importance of Rhetorical Context
AI/ML	Steps Towards Value-Aligned Systems
algorithmic accountability	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
algorithmic auditing	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
algorithmic bias	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
algorithmic discrimination	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
algorithmic fairness	The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making Joint Optimization of AI Fairness and Utility: A Human-Centered Approach Algorithmic Fairness from a Non-ideal Perspective
algorithmic risk assessment	The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
algorithms	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
Allocation	Fair Allocation through Selective Information Acquisition
Annotation	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
answer set programming	A Deontic Logic for Programming Rightful Machines
Artificial Intelligence	Data Augmentation for Discrimination Prevention and Bias Disambiguation Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments Robot Rights? Let’s talk about human welfare instead When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models An Empirical Approach to Capture Moral Uncertainty in Ethical AI What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Artificial Intelligence as a Service	Monitoring 'Artificial Intelligence as a Service'
Artificial morality	Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
audit	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
auditing	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
automation	The Windfall Clause: Distributing the Benefits of AI for the Common Good
autonomous systems	A Deontic Logic for Programming Rightful Machines
Autonomous vehicles (AVs)	Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
B
Balancing Rawlsian Fairness and Utilitarianism	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Banking	Fair Allocation through Selective Information Acquisition
bargaining power	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
benchmarking	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
bias	AI and Holistic Review: Informing Human Reading in College Admissions When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning Normative Principles for Evaluating Fairness in Machine Learning Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices Algorithmic Fairness from a Non-ideal Perspective
Bias detection	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
big data	AI and Holistic Review: Informing Human Reading in College Admissions
bioethics	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
Black Box	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
Black box explanations	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods “How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
C
causal graphs	Measuring Fairness in an Unfair World
Centralization	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Centroid based Clustering	Balancing the Tradeoff Between Clustering Value and Interpretability
CLASSIFICATION	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Cognitive abilities	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
college admissions	AI and Holistic Review: Informing Human Reading in College Admissions
colonialism	The Problem with Intelligence: Its Value-Laden History and the Future of AI
color blind	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Competitive Advantage	Social and Governance Implications of Improved Data Efficiency
Complex Networks	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
conflicts	A Deontic Logic for Programming Rightful Machines
Corporate social responsibility	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Counterfactuals	FACE: Feasible and Actionable Counterfactual Explanations
Credit Extension	Fair Allocation through Selective Information Acquisition
criminal justice software	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
critical data methodology	Ethics for AI Writing: The Importance of Rhetorical Context
Culture	Technocultural Pluralism: A “Clash of Civilizations” in Technology?
D
DATA	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Data Augmentation	Data Augmentation for Discrimination Prevention and Bias Disambiguation
Data efficiency	Social and Governance Implications of Improved Data Efficiency
Data Localization	Technocultural Pluralism: A “Clash of Civilizations” in Technology?
Data markets	Social and Governance Implications of Improved Data Efficiency
de-identification	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
debiased features	A Geometric Solution to Fair Representations
decision making	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making Fair Allocation through Selective Information Acquisition
decision support	Algorithmic Fairness from a Non-ideal Perspective
Decolonial	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
deepfake	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
definition of AI	Policy versus Practice: Conceptions of Artificial Intelligence
deontic logic	A Deontic Logic for Programming Rightful Machines
design	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Digital Labor Organizing	Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
Digital Platforms in Global South	Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
Digital Worker Solidarity	Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
Discrete Choice Analysis	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Discrimination Prevention	Data Augmentation for Discrimination Prevention and Bias Disambiguation
discrimination-aware machine learning	Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Distributive justice	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
diversity	Diversity and Inclusion Metrics in Subset Selection
Doctor-patient relationships	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
Domain Expertise	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
domain-specific languages	Arbiter: A Domain-Specific Language for Ethical Machine Learning
E
education	Exploring AI Futures Through Role Play
educational data science	AI and Holistic Review: Informing Human Reading in College Admissions
educational technology	Assessing Post-hoc Explainability of the BKT Algorithm
Embodiment	Robot Rights? Let’s talk about human welfare instead
Empirical Study	Human Comprehension of Fairness in Machine Learning
epistemic community	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Epistemology	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
ethical ai guidelines	Ethics of Food Recommender Applications
ethical consumer	Ethics of Food Recommender Applications
ethical machine learning	Arbiter: A Domain-Specific Language for Ethical Machine Learning
ethical use of AI in education	AI and Holistic Review: Informing Human Reading in College Admissions
Ethics	Steps Towards Value-Aligned Systems Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings Ethics for AI Writing: The Importance of Rhetorical Context Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices An Empirical Approach to Capture Moral Uncertainty in Ethical AI Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Ethics codes	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
ethics of food recommender systems	Ethics of Food Recommender Applications
ethics topics	More Than "If Time Allows": The Role of Ethics in AI Education
eugenics	The Problem with Intelligence: Its Value-Laden History and the Future of AI
Evaluation of Machine Learning models	CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
Evolution	Technocultural Pluralism: A “Clash of Civilizations” in Technology?
expert survey	Policy versus Practice: Conceptions of Artificial Intelligence
Explainability	Meta Decision Trees for Explainable Recommendation Systems Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning FACE: Feasible and Actionable Counterfactual Explanations CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models Different “Intelligibility” for Different Folks
explainable AI	Assessing Post-hoc Explainability of the BKT Algorithm Good Explanation for Algorithmic Transparency
F
face recognition	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
facial recognition	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
fair	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
fair AI	A Geometric Solution to Fair Representations
fair classification	A Geometric Solution to Fair Representations
Fair Machine Learning	Human Comprehension of Fairness in Machine Learning
fairness	Steps Towards Value-Aligned Systems AI and Holistic Review: Informing Human Reading in College Admissions An invitation to system-wide algorithmic fairness Measuring Fairness in an Unfair World A Fairness-aware Incentive Scheme for Federated Learning Normative Principles for Evaluating Fairness in Machine Learning CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models Trade-offs in Fair Redistricting Fair Allocation through Selective Information Acquisition Social Contracts for Non-Cooperative Games
Fairness in Machine learning	Data Augmentation for Discrimination Prevention and Bias Disambiguation
Fairness in Matching Markets	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
fairness metric	Algorithmic Fairness from a Non-ideal Perspective
Fairness-efficiency tradeoff	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
FAT ML	Normative Principles for Evaluating Fairness in Machine Learning
Federated learning	A Fairness-aware Incentive Scheme for Federated Learning
feminist ethics	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
foresight	Exploring AI Futures Through Role Play
Future of Work	Learning Occupational Task-Shares Dynamics for the Future of Work
G
Game Theoretical Analysis	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
game theory	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks Social Contracts for Non-Cooperative Games
geometric method	A Geometric Solution to Fair Representations
Geopolitics	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice Technocultural Pluralism: A “Clash of Civilizations” in Technology?
gerrymandering	Trade-offs in Fair Redistricting
Global Governance	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Global South	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
Governance	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Governance Fragmentation	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
growth	The Windfall Clause: Distributing the Benefits of AI for the Common Good
Guarantee Schemes	The AI Liability Puzzle and a Fund-Based Work-Around
H
High stakes decisions	“How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
Human Rights	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Human Welfare	Robot Rights? Let’s talk about human welfare instead
human-machine interaction	Ethics for AI Writing: The Importance of Rhetorical Context
humanoid	Policy versus Practice: Conceptions of Artificial Intelligence
I
ideology	The Problem with Intelligence: Its Value-Laden History and the Future of AI
impacts of artificial intelligence	Exploring AI Futures Through Role Play
Incentive	A Fairness-aware Incentive Scheme for Federated Learning
inclusion	Diversity and Inclusion Metrics in Subset Selection
Indigenous Perspectives	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
inequality	Measuring Fairness in an Unfair World The Windfall Clause: Distributing the Benefits of AI for the Common Good
Inequity-averse resource allocation	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Information Acquisition	Fair Allocation through Selective Information Acquisition
informed consent	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
Institutional Design	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
intelligence	The Problem with Intelligence: Its Value-Laden History and the Future of AI
Intelligibility	Different “Intelligibility” for Different Folks
interpretability	FACE: Feasible and Actionable Counterfactual Explanations Balancing the Tradeoff Between Clustering Value and Interpretability
interpretable	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
interpretable AI	Good Explanation for Algorithmic Transparency
IQ	The Problem with Intelligence: Its Value-Laden History and the Future of AI
J
Job Postings	Learning Occupational Task-Shares Dynamics for the Future of Work
judicial subset selection	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
justice	A Deontic Logic for Programming Rightful Machines Algorithmic Fairness from a Non-ideal Perspective
K
k-center	Balancing the Tradeoff Between Clustering Value and Interpretability
keypoint detection	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
L
lab experiments	Good Explanation for Algorithmic Transparency
Latent class choice model	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
law	A Deontic Logic for Programming Rightful Machines Policy versus Practice: Conceptions of Artificial Intelligence
learning from stories	Learning Norms from Stories: A Prior for Value Aligned Agents
Legal Liability	The AI Liability Puzzle and a Fund-Based Work-Around
lethal autonomous weapons	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
logic programming	A Deontic Logic for Programming Rightful Machines
long-term future	Exploring AI Futures Through Role Play
Loss of Control	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
M
machine ethics	A Deontic Logic for Programming Rightful Machines
Machine Learning	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning FACE: Feasible and Actionable Counterfactual Explanations When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning Normative Principles for Evaluating Fairness in Machine Learning CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
machine learning fairmess	Arbiter: A Domain-Specific Language for Ethical Machine Learning
Malicious use of AI	The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
Market Design	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Mathematical programming	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Medical AI	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
medical data sharing	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Meta Learning	Meta Decision Trees for Explainable Recommendation Systems
Metanormative theory	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
metrics	Diversity and Inclusion Metrics in Subset Selection
Misuse detection	Monitoring 'Artificial Intelligence as a Service'
Moral decision-making	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Moral Justification	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
moral psychology	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Moral Uncertainty	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Morality	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
multi-agent systems	Social Contracts for Non-Cooperative Games
N
Near-term and long-term in AI	Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
Neuroethics	Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
NLP	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
non-ideal theory	Measuring Fairness in an Unfair World
non-monotonic logic	A Deontic Logic for Programming Rightful Machines
norm classification	Learning Norms from Stories: A Prior for Value Aligned Agents
normative framework	The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
O
Occupations and Tasks	Learning Occupational Task-Shares Dynamics for the Future of Work
offline policy evaluation	Bayesian Sensitivity Analysis for Offline Policy Evaluation
Openness of AI research	The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
P
pareto optimal	Trade-offs in Fair Redistricting
Patient-centered medicine	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
philosophy	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Pluralism	Technocultural Pluralism: A “Clash of Civilizations” in Technology?
policy	Policy versus Practice: Conceptions of Artificial Intelligence What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Policy framework	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Policy narratives	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
Political Economy	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
politics	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
post-hoc explanations	Assessing Post-hoc Explainability of the BKT Algorithm
POWER	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Practical challenges	Monitoring 'Artificial Intelligence as a Service'
Prediction algorithms	Different “Intelligibility” for Different Folks
predictive policing	An invitation to system-wide algorithmic fairness
preference elicitation	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
pretrial risk assessment	Bayesian Sensitivity Analysis for Offline Policy Evaluation
PRIORITY	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
privacy	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
privacy protection	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation A Fairness-aware Incentive Scheme for Federated Learning
probabilistic genotyping software	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Production function	Social and Governance Implications of Improved Data Efficiency
professional responsibility	More Than "If Time Allows": The Role of Ethics in AI Education
PROFIT	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
projection	A Geometric Solution to Fair Representations
public opinion	U.S. Public Opinion on the Governance of Artificial Intelligence
public trust	U.S. Public Opinion on the Governance of Artificial Intelligence
Publication norms	The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
Q
Qualitative Analysis	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
R
racism	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning The Problem with Intelligence: Its Value-Laden History and the Future of AI
Real-world Data	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
recidivism prediction	An invitation to system-wide algorithmic fairness
Recommendation Systems	Meta Decision Trees for Explainable Recommendation Systems
recommender systems	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
redistricting	Trade-offs in Fair Redistricting
Regime Complex	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
regulation	Policy versus Practice: Conceptions of Artificial Intelligence
Reinforcement learning	An invitation to system-wide algorithmic fairness Conservative Agency via Attainable Utility Preservation
Relational Shift	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Reliabilism	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
representative	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Research communities	Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
resistance	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Responsibility Gap	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Responsible Artificial Intelligence	CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
rhetorical context	Ethics for AI Writing: The Importance of Rhetorical Context
Rideshare	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
rightful machines	A Deontic Logic for Programming Rightful Machines
Robot rights	Robot Rights? Let’s talk about human welfare instead
role-play	Exploring AI Futures Through Role Play
S
Safety	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
sensitive information	A Geometric Solution to Fair Representations
sensitivity to unmeasured confounding	Bayesian Sensitivity Analysis for Offline Policy Evaluation
sexism	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning The Problem with Intelligence: Its Value-Laden History and the Future of AI
Side effects	Conservative Agency via Attainable Utility Preservation
social contracts	Social Contracts for Non-Cooperative Games
Social Media	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Social Simulation	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Societal implications of AI	Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
Sociotechnical Systems	Steps Towards Value-Aligned Systems Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
software verification	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
subset selection	Diversity and Inclusion Metrics in Subset Selection
Systems	Steps Towards Value-Aligned Systems
T
tech worker	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
technical AI	More Than "If Time Allows": The Role of Ethics in AI Education
text analysis	AI and Holistic Review: Informing Human Reading in College Admissions
text classification	AI and Holistic Review: Informing Human Reading in College Admissions
Time-Series Modeling	Learning Occupational Task-Shares Dynamics for the Future of Work
Transfer learning	Social and Governance Implications of Improved Data Efficiency
transparency	Ethics for AI Writing: The Importance of Rhetorical Context Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Trust	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
U
User Comprehension	Human Comprehension of Fairness in Machine Learning
User trust in ML	“How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
user-centered design	Assessing Post-hoc Explainability of the BKT Algorithm
V
Value Alignment	Steps Towards Value-Aligned Systems Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings Learning Norms from Stories: A Prior for Value Aligned Agents
value-ladenness	The Problem with Intelligence: Its Value-Laden History and the Future of AI
W
wargame	Exploring AI Futures Through Role Play
worker organising	Activism by the AI Community: Analysing Recent Achievements and Future Prospects

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