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

A
Alvero, Aj	AI and Holistic Review: Informing Human Reading in College Admissions
Ambrossio, Agustin	Ethics of Food Recommender Applications
Anderljung, Markus	Social and Governance Implications of Improved Data Efficiency
Anderson, James	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
Antonio, Anthony	AI and Holistic Review: Informing Human Reading in College Admissions
Arthurs, Noah	AI and Holistic Review: Informing Human Reading in College Admissions
Avin, Shahar	Exploring AI Futures Through Role Play
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Babaeianjelodar, Marzieh	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Baker, Dylan	Diversity and Inclusion Metrics in Subset Selection
Bashaw, Hunter	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Bastani, Osbert	“How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations
Beard, Nathan	More Than "If Time Allows": The Role of Ethics in AI Education
Belfield, Haydn	Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Bellamy, Rachel	Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Biddle, Justin	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Birhane, Abeba	Robot Rights? Let’s talk about human welfare instead
Borenstein, Jason	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Boudreaux, Benjamin	Steps Towards Value-Aligned Systems
Bouneffouf, Djallel	Data Augmentation for Discrimination Prevention and Bias Disambiguation
Brynjolfsson, Erik	Learning Occupational Task-Shares Dynamics for the Future of Work
Bugingo, Ghislain	Policy versus Practice: Conceptions of Artificial Intelligence
Buolamwini, Joy	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
Burghardt, Keith	A Geometric Solution to Fair Representations
C
Cai, William	Fair Allocation through Selective Information Acquisition
Castillo, Carlos	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Cave, Stephen	The Problem with Intelligence: Its Value-Laden History and the Future of AI
Celis, L. Elisa	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Chan, Lok	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Chen, Tianjian	A Fairness-aware Incentive Scheme for Federated Learning
Chen, Violet	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Chorus, Caspar	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Cihon, Peter	Should Artificial Intelligence Governance be Centralised? Design Lessons from History The Windfall Clause: Distributing the Benefits of AI for the Common Good
Clarke, Wyatt	Learning Occupational Task-Shares Dynamics for the Future of Work
Cloete, Richard	Monitoring 'Artificial Intelligence as a Service'
Cobbe, Jennifer	Monitoring 'Artificial Intelligence as a Service'
Cong, Mingshu	A Fairness-aware Incentive Scheme for Federated Learning
Conitzer, Vincent	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Cruz Cortés, Efrén	An invitation to system-wide algorithmic fairness
D
d'Leeuwen, Myraeka	Arbiter: A Domain-Specific Language for Ethical Machine Learning
Dafoe, Allan	Social and Governance Implications of Improved Data Efficiency U.S. Public Opinion on the Governance of Artificial Intelligence The Windfall Clause: Distributing the Benefits of AI for the Common Good
Dafoe, Allan	The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
Danks, David	Different “Intelligibility” for Different Folks Good Explanation for Algorithmic Transparency
Das, Subhro	Learning Occupational Task-Shares Dynamics for the Future of Work
Davoust, Alan	Social Contracts for Non-Cooperative Games
De Bie, Tijl	FACE: Feasible and Actionable Counterfactual Explanations
Denton, Emily	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing Diversity and Inclusion Metrics in Subset Selection
Dickerson, John	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours Human Comprehension of Fairness in Machine Learning Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Dobbe, Roel	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Domingue, Ben	AI and Holistic Review: Informing Human Reading in College Admissions
Doyle, Kenzie	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Dubljevic, Veljko	Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
Dulhanty, Chris	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
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Ema, Arisa	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
Erdelyi, Gabor	The AI Liability Puzzle and a Fund-Based Work-Around
Erdelyi, Olivia Johanna	The AI Liability Puzzle and a Fund-Based Work-Around
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Fang, Hao	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Fazelpour, Sina	Algorithmic Fairness from a Non-ideal Perspective
Feller, Avi	Bayesian Sensitivity Analysis for Offline Policy Evaluation
Fernandes, Pedro M.	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Fernández-Macías, Enrique	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Fiesler, Casey	More Than "If Time Allows": The Role of Ethics in AI Education
Flach, Peter	FACE: Feasible and Actionable Counterfactual Explanations
Fleming, Martin	Learning Occupational Task-Shares Dynamics for the Future of Work
Flynn, Carrick	The Windfall Clause: Distributing the Benefits of AI for the Common Good
Fox, James	Exploring AI Futures Through Role Play
Frazier, Spencer	Learning Norms from Stories: A Prior for Value Aligned Agents
Frey, William	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Fujita, Takanori	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
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Gaebler, Johann	Fair Allocation through Selective Information Acquisition
Galdon Clavell, Gemma	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Galhotra, Sainyam	Balancing the Tradeoff Between Clustering Value and Interpretability
Garfinkel, Ben	The Windfall Clause: Distributing the Benefits of AI for the Common Good
Garg, Nikhil	Fair Allocation through Selective Information Acquisition
Garrett, Natalie	More Than "If Time Allows": The Role of Ethics in AI Education
Gebre-Medhin, Ben	AI and Holistic Review: Informing Human Reading in College Admissions
Gebru, Timnit	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing Diversity and Inclusion Metrics in Subset Selection
Ghosh, Debashis	An invitation to system-wide algorithmic fairness
Ghosh, Joydeep	CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
Giebel, Sonia	AI and Holistic Review: Informing Human Reading in College Admissions
Gilbert, Thomas	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Goel, Sharad	Bayesian Sensitivity Analysis for Offline Policy Evaluation Fair Allocation through Selective Information Acquisition
Goldthwaite, Jessica	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Grasso, Izzi	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Gruetzemacher, Ross	Exploring AI Futures Through Role Play
Gómez, Emilia	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
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Hadfield-Menell, Dylan	Conservative Agency via Attainable Utility Preservation
Hanna, Alex	Diversity and Inclusion Metrics in Subset Selection
Harrison, Brent	Learning Norms from Stories: A Prior for Value Aligned Agents
He, Yuzi	A Geometric Solution to Fair Representations
Henderson, Jette	CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
Herington, Jonathan	Measuring Fairness in an Unfair World
Hernandez-Orallo, Jose	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Hilgard, Sophie	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
Hooker, John	A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Howley, Iris	Assessing Post-hoc Explainability of the BKT Algorithm
Huang, Karen	Policy versus Practice: Conceptions of Artificial Intelligence
Huang, Lingxiao	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Hutchinson, Ben	Diversity and Inclusion Metrics in Subset Selection Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
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James, Larry	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
Javadi, Seyyed Ahmad	Monitoring 'Artificial Intelligence as a Service'
Jia, Emily	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
Joshi, Shalmali	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
Jung, Jongbin	Bayesian Sensitivity Analysis for Offline Policy Evaluation
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Kak, Amba	“The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
Karpati, Daniel	Ethics of Food Recommender Applications
Katell, Michael	Policy versus Practice: Conceptions of Artificial Intelligence
Kazimzade, Gunay	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Kemp, Luke	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Kim, Tae Wan	Good Explanation for Algorithmic Transparency
Krafft, P. M.	Policy versus Practice: Conceptions of Artificial Intelligence
Kroesen, Maarten	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
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Laas, Kelly	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Lakkaraju, Himabindu	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
Leben, Derek	Normative Principles for Evaluating Fairness in Machine Learning
Lee, Dokyun	Good Explanation for Algorithmic Transparency
Lee, Fei-Tzin	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Lee, Joonseok	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
Lee, Michelle	Monitoring 'Artificial Intelligence as a Service'
Lerman, Kristina	A Geometric Solution to Fair Representations
Leung, Jade	The Windfall Clause: Distributing the Benefits of AI for the Common Good
Li, Luming	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Lipton, Zachary	Algorithmic Fairness from a Non-ideal Perspective
Liu, Yang	A Fairness-aware Incentive Scheme for Federated Learning
Liu, Zelei	A Fairness-aware Incentive Scheme for Federated Learning
Lopes, Manuel	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Lorenz, Stephen	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Lu, Joy	Good Explanation for Algorithmic Transparency
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Maas, Matthijs	Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Maitra, Suvradip	Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Martinho, Andreia	An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Martínez-Plumed, Fernando	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Matic, Aleksandar	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Matthews, Abigail	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Matthews, Jeanna	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Mazurek, Michelle L.	Human Comprehension of Fairness in Machine Learning
Mazwi, Mjaye	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
McCradden, Melissa	When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
McElfresh, Duncan C.	Human Comprehension of Fairness in Machine Learning Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
McGregor, Kyle	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
McKee, Heidi	Ethics for AI Writing: The Importance of Rhetorical Context
McKeown, Kathy	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Miceli, Milagros	Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Mintz, Yonatan	Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Mitchell, Margaret	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing Diversity and Inclusion Metrics in Subset Selection
Mondal, Sumona	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Moorosi, Nyalleng	Diversity and Inclusion Metrics in Subset Selection
Morgenstern, Jamie	Diversity and Inclusion Metrics in Subset Selection
Moss, Emanuel	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Muthusamy, Vinod	Data Augmentation for Discrimination Prevention and Bias Disambiguation
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Nagakura, Katsue	Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
Nahian, Md Sultan Al	Learning Norms from Stories: A Prior for Value Aligned Agents
Najjar, Amro	Ethics of Food Recommender Applications
Nanda, Vedant	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Niyato, Dusit	A Fairness-aware Incentive Scheme for Federated Learning
Njie, Mariama	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Northup, Graham	Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
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O'Keefe, Cullen	The Windfall Clause: Distributing the Benefits of AI for the Common Good
Osoba, Osonde	Steps Towards Value-Aligned Systems Technocultural Pluralism: A “Clash of Civilizations” in Technology?
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Patton, Desmond	Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Peng, Andi	The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
Pesole, Annarosa	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Porter, James	Ethics for AI Writing: The Importance of Rhetorical Context
Poyiadzi, Rafael	FACE: Feasible and Actionable Counterfactual Explanations
Prunkl, Carina	Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
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Qadri, Rida	Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
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Raji, Inioluwa	Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
Reddy, Prabhat	Learning Occupational Task-Shares Dynamics for the Future of Work
Riedl, Mark	Learning Norms from Stories: A Prior for Value Aligned Agents
Rios, Jesus	Data Augmentation for Discrimination Prevention and Bias Disambiguation
Rovatsos, Michael	Social Contracts for Non-Cooperative Games
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Saha, Debjani	Human Comprehension of Fairness in Machine Learning
Saisubramanian, Sandhya	Balancing the Tradeoff Between Clustering Value and Interpretability
Sankararaman, Karthik Abinav	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Santos, Francisco C.	Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Santos-Rodriguez, Raul	FACE: Feasible and Actionable Counterfactual Explanations
Schaich Borg, Jana	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Schiff, Daniel	What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Schumann, Candice	Human Comprehension of Fairness in Machine Learning
Schutzman, Zachary	Trade-offs in Fair Redistricting
Sharma, Shubham	CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models Data Augmentation for Discrimination Prevention and Bias Disambiguation
Sheng, Haoyu	Assessing Post-hoc Explainability of the BKT Algorithm
Shevlane, Toby	The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
Shroff, Ravi	Bayesian Sensitivity Analysis for Offline Policy Evaluation
Shulman, Eyal	Meta Decision Trees for Explainable Recommendation Systems
Simard-Halm, Malina	The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
Singh, Jatinder	Monitoring 'Artificial Intelligence as a Service'
Singh, Sameer	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
Sinnott-Armstrong, Walter	Artificial Artificial Intelligence: Measuring Influence of AI "Assessments" on Moral Decision-Making
Slack, Dylan	Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
Smart, Andrew	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
Smith, Oliver	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Sokol, Kacper	FACE: Feasible and Actionable Counterfactual Explanations
Srinivasan, Aravind	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Steffen, Sebastian	Learning Occupational Task-Shares Dynamics for the Future of Work
Stevens, Mitchell	AI and Holistic Review: Informing Human Reading in College Admissions
Sui, Yanan	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
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Tadepalli, Prasad	Conservative Agency via Attainable Utility Preservation
Tolan, Songül	Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Tschantz, Michael Carl	Human Comprehension of Fairness in Machine Learning
Tucker, Aaron	Social and Governance Implications of Improved Data Efficiency
Turner, Alexander	Conservative Agency via Attainable Utility Preservation
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Vallor, Shannon	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
van Dijk, Jelle	Robot Rights? Let’s talk about human welfare instead
Varshney, Kush	Data Augmentation for Discrimination Prevention and Bias Disambiguation Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
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Wei, Julia	Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Weng, Xi	A Fairness-aware Incentive Scheme for Federated Learning
Whittlestone, Jess	Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
Wolf, Lior	Meta Decision Trees for Explainable Recommendation Systems
Wong, Alexander	Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
Wright, Ava	A Deontic Logic for Programming Rightful Machines
Wu, Simone	Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
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Xu, Pan	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
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Yang, Qiang	A Fairness-aware Incentive Scheme for Federated Learning
Yeung, Douglas	Steps Towards Value-Aligned Systems
Young, Meg	Policy versus Practice: Conceptions of Artificial Intelligence
Yu, Han	A Fairness-aware Incentive Scheme for Federated Learning
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Zamorano, Mariano Martín	Data Minimization Applied Blindly Can Lead to Color Blindness: A Case Study of a Wellbeing Recommender System
Zhang, Baobao	U.S. Public Opinion on the Governance of Artificial Intelligence
Zhang, Yunfeng	Data Augmentation for Discrimination Prevention and Bias Disambiguation Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Zhou, Tongyu	Assessing Post-hoc Explainability of the BKT Algorithm
Zhou, Yishan	Different “Intelligibility” for Different Folks
Zhu, Bingquan	Deepfake for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Zilberstein, Shlomo	Balancing the Tradeoff Between Clustering Value and Interpretability
Zucker, Julian	Arbiter: A Domain-Specific Language for Ethical Machine Learning

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