| 2021 | Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older Adults. | Eugenia Kim, De'Aira Bryant, Deepak Srikanth, Ayanna M. Howard |
| 2021 | Towards Unbiased and Accurate Deferral to Multiple Experts. | Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi |
| 2021 | Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries. | Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff |
| 2021 | The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. | Atoosa Kasirzadeh, Colin Klein |
| 2021 | Fairness and Data Protection Impact Assessments. | Atoosa Kasirzadeh, Damian Clifford |
| 2021 | Towards Equity and Algorithmic Fairness in Student Grade Prediction. | Weijie Jiang, Zachary A. Pardos |
| 2021 | Monitoring AI Services for Misuse. | Seyyed Ahmad Javadi, Chris Norval, Richard Cloete, Jatinder Singh |
| 2021 | Can We Obtain Fairness For Free? | Rashidul Islam, Shimei Pan, James R. Foulds |
| 2021 | Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development. | Aspen K. Hopkins, Serena Booth |
| 2021 | Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AI. | Anne Henriksen, Simon Aagaard Enni, Anja Bechmann |
| 2021 | The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. | Hunter Scott Heidenreich, Jake Ryland Williams |
| 2021 | Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation. | Jacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph |
| 2021 | Computer Vision and Conflicting Values: Describing People with Automated Alt Text. | Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum |
| 2021 | Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. | Wei Guo, Aylin Caliskan |
| 2021 | Designing Shapelets for Interpretable Data-Agnostic Classification. | Riccardo Guidotti, Anna Monreale |
| 2021 | The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and Misuses. | Jakub Grzelak, Martim Brandao |
| 2021 | An AI Ethics Course Highlighting Explicit Ethical Agents. | Nancy L. Green |
| 2021 | Computing Plans that Signal Normative Compliance. | Alban Grastien, Claire Benn, Sylvie Thibaux |
| 2021 | Hard Choices and Hard Limits in Artificial Intelligence. | Bryce Goodman |
| 2021 | Ethical Obligations to Provide Novelty. | Paige Golden, David Danks |
| 2021 | Learning to Generate Fair Clusters from Demonstrations. | Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2021 | On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. | Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova |
| 2021 | What's Fair about Individual Fairness? | Will Fleisher |
| 2021 | Modeling and Guiding the Creation of Ethical Human-AI Teams. | Christopher Flathmann, Beau G. Schelble, Rui Zhang, Nathan J. McNeese |
| 2021 | Reflexive Design for Fairness and Other Human Values in Formal Models. | Benjamin Fish, Luke Stark |