| 2024 | Acceptable Use Policies for Foundation Models. | Kevin Klyman |
| 2024 | Anticipating the Risks and Benefits of Counterfactual World Simulation Models (Extended Abstract). | Lara Kirfel, Rob MacCoun, Thomas Icard, Tobias Gerstenberg |
| 2024 | What's Your Stake in Sustainability of AI?: An Informed Insider's Guide. | Grace C. Kim, Annabel Rothschild, Carl DiSalvo, Betsy DiSalvo |
| 2024 | On the Pros and Cons of Active Learning for Moral Preference Elicitation. | Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong |
| 2024 | Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles. | Vijay Keswani, L. Elisa Celis |
| 2024 | Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety. | Wm. Matthew Kennedy, Daniel Vargas Campos |
| 2024 | Epistemic Injustice in Generative AI. | Jackie Kay, Atoosa Kasirzadeh, Shakir Mohamed |
| 2024 | Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders. | Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova |
| 2024 | AI Failure Loops in Feminized Labor: Understanding the Interplay of Workplace AI and Occupational Devaluation. | Anna Kawakami, Jordan Taylor, Sarah E. Fox, Haiyi Zhu, Ken Holstein |
| 2024 | Virtual Assistants Are Unlikely to Reduce Patient Non-Disclosure. | Corinne Jorgenson, Ali Ihsan Ozkes, Jurgen Willems, Dieter Vanderelst |
| 2024 | Reflection of Its Creators: Qualitative Analysis of General Public and Expert Perceptions of Artificial Intelligence. | Theodore Jensen, Mary Theofanos, Kristen K. Greene, Olivia Williams, Kurtis Goad, Janet Bih Fofang |
| 2024 | Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. | Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee |
| 2024 | Uncovering Gender Biases in Human-AI Platforms. | Siddharth D. Jaiswal |
| 2024 | As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. | Shomik Jain, Dana Calacci, Ashia Wilson |
| 2024 | AI Ethics for Creativity. | Alayt Abraham Issak |
| 2024 | The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards (Extended Abstract). | Tomasz Hollanek |
| 2024 | Afrofuturist Values for the Metaverse (Extended Abstract). | Theresa Hice-Fromille, Sarah Papazoglakis |
| 2024 | What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from a Perspective of Approximate Justice. | Corinna Hertweck, Christoph Heitz, Michele Loi |
| 2024 | ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies. | Viviane Herdel, Sanja Scepanovic, Edyta Paulina Bogucka, Daniele Quercia |
| 2024 | Contributory Injustice, Epistemic Calcification and the Use of AI Systems in Healthcare. | Mahi Hardalupas |
| 2024 | A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. | Jessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah |
| 2024 | Identifying Implicit Social Biases in Vision-Language Models. | Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi |
| 2024 | A Conceptual Framework for Ethical Evaluation of Machine Learning Systems. | Neha R. Gupta, Jessica Hullman, Hariharan Subramonyam |
| 2024 | Compassionate AI for Moral Decision-Making, Health, and Well-Being. | Mark Graves, Jane Compson |
| 2024 | Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract). | Declan Grabb, Max Lamparth, Nina Vasan |