Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2026 — accepted papers
Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2026 is the 2026 edition of the Proceedings of the AAAI/ACM Conference on AI Ethics and Society. OpenAlex lists 262 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Measuring and Mitigating (Over)reliance to Build Human-Compatible AI ↗Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim et al.4 citations
- When Do AI Gains Become Broadly Shareable? A Policy Threshold for AI-Driven Automation ↗Aran Nayebi2 citations
- ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios ↗Mahika Phutane, Hayoung Jung, Matthew Kim et al.1 citation
- Culturally Situated AI Safety for Youth: Saudi Arabian Perspectives of Youth, Parents and Teachers ↗Aljawharah Alzahrani, Tanusree Sharma1 citation
- Missing Melodies: AI Music Generation and Its “Nearly” Complete Omission of the Global South ↗Atharva Mehta, Shivam Chauhan, Monojit Choudhury1 citation
- See Me, Believe Me: Causality, Intersectionality, and Interventions Improving the Appearance of Patients ↗Kenya S. Andrews, Mesrob I. Ohannessian, Elena Zheleva1 citation
All accepted papers (262)
- Measuring and Mitigating (Over)reliance to Build Human-Compatible AI ↗Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim et al.4 citations
- When Do AI Gains Become Broadly Shareable? A Policy Threshold for AI-Driven Automation ↗Aran Nayebi2 citations
- ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios ↗Mahika Phutane, Hayoung Jung, Matthew Kim et al.1 citation
- Culturally Situated AI Safety for Youth: Saudi Arabian Perspectives of Youth, Parents and Teachers ↗Aljawharah Alzahrani, Tanusree Sharma1 citation
- Missing Melodies: AI Music Generation and Its “Nearly” Complete Omission of the Global South ↗Atharva Mehta, Shivam Chauhan, Monojit Choudhury1 citation
- See Me, Believe Me: Causality, Intersectionality, and Interventions Improving the Appearance of Patients ↗Kenya S. Andrews, Mesrob I. Ohannessian, Elena Zheleva1 citation
- A Chain Is Only as Strong as Its Weakest Link: A Scoping Review of System Integration Audits in AI ↗Leah Davis, Dominic Martin, AJung Moon
- A Critical Pragmatism Approach for AI Ethics: Lessons from Urban Planning Theory ↗Jennah Gosciak, Karen Levy, Allison Koenecke
- A Method for Learning Value Systems in Generative AI ↗Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowskí
- A Precarious Normative Balance or the “Third Way”? Sociotechnical Imaginaries in India’s AI Governance ↗Deepshikha Sharma, Suriya Krishna B S, Manohar Kumar et al.
- A Proxy-Based Method for Measuring Racial Disparities in Text-to-Image Generators ↗Nia Mucher, Ngan Pham, Jason Chin et al.
- A Taxonomy of AI Value Alignment: Subproblems and Solutions ↗Daniel R. Harris, Karina Vold, Harsh Kumar et al.
- AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources ↗Dalia Ali, Maria José Rodríguez Velázquez, Manoel Horta Ribeiro et al.
- AI Alignment Without Representation: From Scalar Rewards to Social Deliberation ↗Majid Ghasemi, Mark Crowley
- AI Alignment and Fiduciary Obligation ↗Benjamin Lange
- AI Assistance for Human Review of Default Judgments ↗Theodora Worledge, Othman Bensouda Koraichi, Daniel Bernal et al.
- AI Literacy: An Exercise in Power-Knowledge ↗Brady Daniel Lund, Zoë Abbie Teel
- AI Localism - Counter Imaginaries from City AI Governance ↗Bhavana Bheem, Samuel Gerstein, Karrie Karahalios et al.
- AI Revealed Preferences ↗Sam Wang, Sofiia Lobanova, Yonathan Arbel et al.
- AI from the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities ↗Tijs C. Portegies, Laureanne Willems, Maaike Harbers et al.
- AI-Enabled Authoritarian Practices in Formal Democracies ↗Keir Reid, Isaac Friend, Fazl Barez
- AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory ↗Mattea Sim, Yael Eiger, Tadayoshi Kohno
- AI-tribution: Enabling Training Data Attribution for Users of Generative Music Models ↗Julia Barnett, Nathan Pruyne, Nicholas Diakopoulos et al.
Papers with our summary in our library (1)
Top topics
Language models & pretraining (1)
Fields
Arts and Humanities (1)Computer Science (1)Social Sciences (1)
Top institutions
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