| 2020 | Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta. | Rida Qadri |
| 2020 | Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. | Carina Prunkl, Jess Whittlestone |
| 2020 | FACE: Feasible and Actionable Counterfactual Explanations. | Rafael Poyiadzi, Kacper Sokol, Ral Santos-Rodrguez, Tijl De Bie, Peter A. Flach |
| 2020 | The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making. | Andi Peng, Malina Simard-Halm |
| 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 | Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. | Frank Pasquale |
| 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 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 | From Bad Users and Failed Uses to Responsible Technologies: A Call to Expand the AI Ethics Toolkit. | Gina Neff |
| 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 | Learning Norms from Stories: A Prior for Value Aligned Agents. | Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison |
| 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 | Ethics for AI Writing: The Importance of Rhetorical Context. | Heidi A. McKee, James E. Porter |
| 2020 | Computerize the Race Problem?: Why We Must Plan for a Just AI Future. | Charlton D. McIlwain |
| 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 | 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 | An Empirical Approach to Capture Moral Uncertainty in AI. | Andreia Martinho, Maarten Kroesen, Caspar G. Chorus |
| 2020 | Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. | Fernando Martnez-Plumed, Songl Tolan, Annarosa Pesole, Jos Hernndez-Orallo, Enrique Fernndez-Macas, Emilia Gmez |
| 2020 | Artificial Intelligence and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings. | Suvradip Maitra |
| 2020 | Good Explanation for Algorithmic Transparency. | Joy Lu, Dokyun Lee, Tae Wan Kim, David Danks |
| 2020 | Normative Principles for Evaluating Fairness in Machine Learning. | Derek Leben |
| 2020 | "How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations. | Himabindu Lakkaraju, Osbert Bastani |
| 2020 | Defining AI in Policy versus Practice. | P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo |
| 2020 | Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices. | Gunay Kazimzade, Milagros Miceli |