| 2020 | "How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations. Himabindu Lakkaraju, Osbert Bastani |
| 2020 | "The Global South is everywhere, but also always somewhere": National Policy Narratives and AI Justice. Amba Kak |
| 2020 | A Deontic Logic for Programming Rightful Machines. Ava Thomas Wright |
| 2020 | A Fairness-aware Incentive Scheme for Federated Learning. Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang |
| 2020 | A Geometric Solution to Fair Representations. Yuzi He, Keith Burghardt, Kristina Lerman |
| 2020 | A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism. Violet (Xinying) Chen, John N. Hooker |
| 2020 | AI and Holistic Review: Informing Human Reading in College Admissions. A. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens |
| 2020 | AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020 Annette N. Markham, Julia Powles, Toby Walsh, Anne L. Washington |
| 2020 | Activism by the AI Community: Analysing Recent Achievements and Future Prospects. Haydn Belfield |
| 2020 | Adoption Dynamics and Societal Impact of AI Systems in Complex Networks. Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes |
| 2020 | Algorithmic Fairness from a Non-ideal Perspective. Sina Fazelpour, Zachary C. Lipton |
| 2020 | Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta. Rida Qadri |
| 2020 | An Empirical Approach to Capture Moral Uncertainty in AI. Andreia Martinho, Maarten Kroesen, Caspar G. Chorus |
| 2020 | An Invitation to System-wide Algorithmic Fairness. Efrén Cruz Cortés, Debashis Ghosh |
| 2020 | Arbiter: A Domain-Specific Language for Ethical Machine Learning. Julian Zucker, Myraeka d'Leeuwen |
| 2020 | Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong |
| 2020 | Artificial Intelligence and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings. Suvradip Maitra |
| 2020 | Assessing Post-hoc Explainability of the BKT Algorithm. Tongyu Zhou, Haoyu Sheng, Iris Howley |
| 2020 | Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization. Gemma Galdon Clavell, Mariano Martín Zamorano, Carlos Castillo, Oliver Smith, Aleksandar Matic |
| 2020 | Balancing the Tradeoff Between Clustering Value and Interpretability. Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein |
| 2020 | Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan |
| 2020 | Bayesian Sensitivity Analysis for Offline Policy Evaluation. Jongbin Jung, Ravi Shroff, Avi Feller, Sharad Goel |
| 2020 | Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. Carina Prunkl, Jess Whittlestone |
| 2020 | Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices. Gunay Kazimzade, Milagros Miceli |
| 2020 | CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. Shubham Sharma, Jette Henderson, Joydeep Ghosh |
| 2020 | Computerize the Race Problem?: Why We Must Plan for a Just AI Future. Charlton D. McIlwain |
| 2020 | Conservative Agency via Attainable Utility Preservation. Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli |
| 2020 | Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing. Desmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss |
| 2020 | Data Augmentation for Discrimination Prevention and Bias Disambiguation. Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney |
| 2020 | Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li |
| 2020 | Defining AI in Policy versus Practice. P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo |
| 2020 | Different "Intelligibility" for Different Folks. Yishan Zhou, David Danks |
| 2020 | Diversity and Inclusion Metrics in Subset Selection. Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern |
| 2020 | Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. Fernando Martínez-Plumed, Songül Tolan, Annarosa Pesole, José Hernández-Orallo, Enrique Fernández-Macías, Emilia Gómez |
| 2020 | Ethics for AI Writing: The Importance of Rhetorical Context. Heidi A. McKee, James E. Porter |
| 2020 | Ethics of Food Recommender Applications. Daniel Karpati, Amro Najjar, Diego Agustín Ambrossio |
| 2020 | Exploring AI Futures Through Role Play. Shahar Avin, Ross Gruetzemacher, James Fox |
| 2020 | FACE: Feasible and Actionable Counterfactual Explanations. Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach |
| 2020 | Fair Allocation through Selective Information Acquisition. William Cai, Johann Gaebler, Nikhil Garg, Sharad Goel |
| 2020 | Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju |
| 2020 | From Bad Users and Failed Uses to Responsible Technologies: A Call to Expand the AI Ethics Toolkit. Gina Neff |
| 2020 | Good Explanation for Algorithmic Transparency. Joy Lu, Dokyun Lee, Tae Wan Kim, David Danks |
| 2020 | Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz |
| 2020 | How to Put the Data Subject's Sovereignty into Practice. Ethical Considerations and Governance Perspectives. Peter Dabrock |
| 2020 | Human Comprehension of Fairness in Machine Learning. Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz |
| 2020 | Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification. Chris Dulhanty, Alexander Wong |
| 2020 | Joint Optimization of AI Fairness and Utility: A Human-Centered Approach. Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney |
| 2020 | Learning Norms from Stories: A Prior for Value Aligned Agents. Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison |
| 2020 | Learning Occupational Task-Shares Dynamics for the Future of Work. Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming |
| 2020 | Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. Frank Pasquale |
| 2020 | Measuring Fairness in an Unfair World. Jonathan Herington |
| 2020 | Meta Decision Trees for Explainable Recommendation Systems. Eyal Shulman, Lior Wolf |
| 2020 | Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'. Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh |
| 2020 | More Than "If Time Allows": The Role of Ethics in AI Education. Natalie Garrett, Nathan Beard, Casey Fiesler |
| 2020 | Normative Principles for Evaluating Fairness in Machine Learning. Derek Leben |
| 2020 | Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems. Arisa Ema, Katsue Nagakura, Takanori Fujita |
| 2020 | Robot Rights?: Let's Talk about Human Welfare Instead. Abeba Birhane, Jelle van Dijk |
| 2020 | Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton |
| 2020 | Should Artificial Intelligence Governance be Centralised?: Design Lessons from History. Peter Cihon, Matthijs M. Maas, Luke Kemp |
| 2020 | Social Contracts for Non-Cooperative Games. Alan Davoust, Michael Rovatsos |
| 2020 | Social and Governance Implications of Improved Data Efficiency. Aaron D. Tucker, Markus Anderljung, Allan Dafoe |
| 2020 | Steps Towards Value-Aligned Systems. Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung |
| 2020 | Technocultural Pluralism: A "Clash of Civilizations" in Technology? Osonde A. Osoba |
| 2020 | The AI Liability Puzzle and a Fund-Based Work-Around. Olivia Johanna Erdélyi, Gábor Erdélyi |
| 2020 | The AI-development Connection - A View from the South. Anita Gurumurthy |
| 2020 | The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse? Toby Shevlane, Allan Dafoe |
| 2020 | The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making. Andi Peng, Malina Simard-Halm |
| 2020 | The Problem with Intelligence: Its Value-Laden History and the Future of AI. Stephen Cave |
| 2020 | The Windfall Clause: Distributing the Benefits of AI for the Common Good. Cullen O'Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung, Allan Dafoe |
| 2020 | Toward Implementing the Agent-Deed-Consequence Model of Moral Judgment in Autonomous Vehicles. Veljko Dubljevic |
| 2020 | Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. Lingxiao Huang, Julia Wei, L. Elisa Celis |
| 2020 | Trade-offs in Fair Redistricting. Zachary Schutzman |
| 2020 | U.S. Public Opinion on the Governance of Artificial Intelligence. Baobao Zhang, Allan Dafoe |
| 2020 | What's Next for AI Ethics, Policy, and Governance? A Global Overview. Daniel S. Schiff, Justin Biddle, Jason Borenstein, Kelly Laas |
| 2020 | When Trusted Black Boxes Don't Agree: Incentivizing Iterative Improvement and Accountability in Critical Software Systems. Jeanna Neefe Matthews, Graham Northup, Isabella Grasso, Stephen Lorenz, Marzieh Babaeianjelodar, Hunter Bashaw, Sumona Mondal, Abigail Matthews, Mariama Njie, Jessica Goldthwaite |
| 2020 | When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning. Melissa D. McCradden, Mjaye Mazwi, Shalmali Joshi, James A. Anderson |
| 2020 | Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning. Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor |