| 2023 | The Generative AI Deployment Rush: How to Democratize the Politics of Pace. | Annette Zimmermann |
| 2023 | Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. | Yilun Zhou |
| 2023 | Model Debiasing via Gradient-based Explanation on Representation. | Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen |
| 2023 | Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. | Hubert Dariusz Zajac, Natalia Rozalia Avlona, Finn Kensing, Tariq Osman Andersen, Irina Shklovski |
| 2023 | Towards User Guided Actionable Recourse. | Jayanth Yetukuri, Ian Hardy, Yang Liu |
| 2023 | Individual and Group-level considerations of Actionable Recourse. | Jayanth Yetukuri |
| 2023 | Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. | Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi |
| 2023 | Ethical Principles for Reasoning about Value Preferences. | Jessica Woodgate |
| 2023 | Queering Futures: the design of an expanded mixed methods research framework integrating qualitative, quantitative, and practice-based modes. | Jess Parris Westbrook |
| 2023 | AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact Checking. | Johanna Walker, Gefion Thuermer, Julin Vicens, Elena Simperl |
| 2023 | Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. | Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao 'Kenneth' Huang, Shomir Wilson |
| 2023 | Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens. | Pranav Narayanan Venkit |
| 2023 | Mitigating Voter Attribute Bias for Fair Opinion Aggregation. | Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2023 | Why We Need to Know More: Exploring the State of AI Incident Documentation Practices. | Violet Turri, Rachel Dzombak |
| 2023 | Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare. | Eran Tal |
| 2023 | How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solution. | Behrad Taghibeyglou |
| 2023 | A multidomain relational framework to guide institutional AI research and adoption. | Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright |
| 2023 | Measures of Disparity and their Efficient Estimation. | Harvineet Singh, Rumi Chunara |
| 2023 | AI-driven Automation as a Pre-condition for Eudaimonia. | Anastasia Siapka |
| 2023 | Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. | Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio Garca, Gurleen Virk |
| 2023 | REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. | Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lcu, Daniele Magazzeni, Manuela Veloso |
| 2023 | A Systematic Review of Ethical Concerns with Voice Assistants. | William Seymour, Xiao Zhan, Mark Cot, Jose M. Such |
| 2023 | Democratising AI: Multiple Meanings, Goals, and Methods. | Elizabeth Seger, Aviv Ovadya, Divya Siddarth, Ben Garfinkel, Allan Dafoe |
| 2023 | Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. | Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson |
| 2023 | Towards formalizing and assessing AI fairness. | Anna Schmitz |