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Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2026: all accepted papers

262 papers · page 3 of 3 · the most cited first · ← Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2026

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  1. The Effects of Functional Emotions on LLM-Based Paper Review ↗Pedro Bento, Yan Aquino, Arthur Chagas et al.
  2. The Epistemic Politics of AI Anthropomorphism ↗Donna M Bye, Levin Kuhlmann
  3. The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested ↗Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka
  4. The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies ↗Farah Atif, Sougata Saha, Monojit Choudhury
  5. The Forager’s Dilemma: Peer Enforcement Alone Is Not Enough for Stable Multi-Agent Alignment ↗Majid Ghasemi, Prabhjyot Singh, Mark Crowley
  6. The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search ↗Hana Samad, Trung Lam, Christoph Mügge-Durum et al.
  7. The Hidden Cost of a Friendly Face: Investigating the Effect of Agent Embodiment on Trust Loss in Conversational Recommender Systems After Misleading Health Claims ↗Haya Halimeh
  8. The Hidden Tax of AI Safety: Residual Risk Redistribution in Automated Governance ↗Henrietta Boowuo, Ernest Ofori-Mensah
  9. The Inherent Politics of AI as a Matter of Justice ↗Laila Wegner
  10. The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions ↗Hadi Hosseini, Samarth Khanna, Leona Pierce
  11. The Limits of Machine Unlearning as a Means of Political Protest ↗Houssam Abbas, Alicia Patterson
  12. The Mitigation Paradox: How AI-Disinformation Experts Converge on Threats but Polarize on Solutions ↗Alexander Loth, Mina Schütz, Martin Kappes et al.
  13. The Ownership Cost of AI Goal-Setting: Empirical Evidence for a Quality-Motivation Dissociation and Differential Harm to Vulnerable Users (Extended Abstract) ↗Vivienne Bihe Chi, Roman Rietsche, Andreas Göldi et al.
  14. The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products ↗Hao-Ping Lee, Jessica He, David Piorkowski et al.
  15. The Politics of AI Ethics: How Normative Principles Translate into Law and Policy in South Korea ↗Chee Hae Chung, Daniel Schiff
  16. The Promises and Limitations of Evaluation-Based AI Governance: Evidence from Expert Interviews ↗Lily Stelling, Jacob Charnock, Kevin Wei et al.
  17. The Prompt Engineering Fallacy: How Diverse Users Construct Prompts in Health Chatbot Interactions ↗Jia Lin
  18. The Unfalsifiable Delusion: Mass Surveillance Infrastructure and Disparate Impact on Americans with Paranoia-Spectrum Conditions ↗Travis Gilly
  19. Towards Characterising Conditions of Assistance, Hindrance and Depletion in Human Agency from AI Systems ↗Tushita Jha, Rory Svarc, Tom Everitt
  20. Towards Culturally Grounded Emotional AI via a Community-Centred Approach ↗Himashi Rathnayake
  21. Towards Fair and Accurate Short VAAs: Adaptive Ordering and Imputation in Democratic Recommendation Systems ↗Thilo Ignaz Dieing, Lea Cohausz
  22. Towards Justice-Oriented AI: Reflections on a Research-Community Partnership to Co-Develop Swahili AI Tools ↗Sybille Légitime, Kirabo Kakopo Atuhurira, Audrey Mugeni et al.
  23. Towards Stakeholder-Grounded Requirements Engineering in AI System Specification ↗Danniell Hu, Westley Weimer, Elizabeth Bondi
  24. Towards Trustworthy Intelligent Tutoring Systems for Nursing Education: Integrating Nurse-Informed Design with a Frugal Neuro-Symbolic Architecture ↗Nevena Kostadinova Dicheva
  25. Tracing Borrowed Authority in Relational AI Systems ↗Hanjing Shi
  26. Tracking AI Advisory Drift Before It Reaches the Farms: Measuring Contextual Reliability in LLM-Generated Advice Across the Agricultural Landscape ↗Jerry H. Martin, Tianyi Li
  27. Triangulating Across U.S. Federal AI Transparency Regimes ↗Emma Lurie, Emma Fauser, Qing He et al.
  28. Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents ↗Gabriele La Malfa, Lakmal Meegahapola, Edyta P. Bogucka et al.
  29. Understanding Fairness–Privacy Interactions in Graph Neural Networks: A Literature Review, Taxonomy, and Open Challenges ↗Jingyan Zhang, Irina Tal
  30. Untangling Trust, Transparency, and Uncertainty in AI Literature and Policy ↗Kai Nylund, Shani Claire Spivak, Dakuo Wang et al.
  31. User Perceptions of Responsibility and Autonomy of AI Consent Behaviours ↗Anastasia Sophia Apeiron, Pradeep Kumar Murukannaiah, Pınar Yolum
  32. Virtue by Observation: Social Reinforcement Learning for Intrinsically Ethical Agents ↗Majid Ghasemi
  33. Visions of Disciplinary and Education Futures with Generative AI ↗Jaemarie Solyst, Amy J. Ko, R. Benjamin Shapiro
  34. Wanted Dead or Alive: Anticipatory Regulation of Digital Immortality Platforms ↗Alexandra Gillespie, James Garforth, Stacy A. Doore
  35. We Need Explanation Cards to Connect Explanation Algorithms to the Real World ↗Eric Günther, Balázs Szabados, Kristof Meding et al.
  36. What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations) ↗Ro Encarnación, Tina Behzad, Emma Lurie et al.
  37. What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education ↗Kai Yao
  38. What Drivers Want vs. What Drivers Take: A Worker-Centered View of Fairness in Ridehail Platforms ↗Samantha Dalal, Varun Nagaraj Rao, Christine Ao et al.
  39. What Should AI Generate? Moving Beyond Bias in Generative Systems ↗Jennifer Chien
  40. What Should I Become? When LLMs Present a Slice of Opportunity as the Whole ↗Taylor Wise, Scott Seidenberger, Anindya Maiti
  41. When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary ↗Haewoon Kwak
  42. When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution ↗Kai Yao
  43. When AI Enters the Workplace, Who Faces Greater Risk? A Gendered Analysis ↗Miriam Fernandez, Ángel Pavón Pérez, Damiano Giallongo et al.
  44. When Cooperation Predictions Become Reasons to Defect: Policy Defaults in LLM Assistance for Social Dilemmas ↗Kazunori Terada, Henrique Correia da Fonseca, Celso M. de Melo et al.
  45. When Distrust in Humans Drives Trust in AI: Institutional Bias and Algorithmic Preference Among Marginalized Groups (Extended Abstract) ↗S Mo Jones-Jang, Rylee Ahn, 이지영
  46. When Government Uses AI: Experimental Evidence of Selective Trust Decline and Algorithmic Nimbyism ↗Daniel Juhász Vigild, Andreas Bjerre-Nielsen, Laust Hvas Mortensen et al.
  47. When Interpretability Is Unequally Distributed: Fairness in Hybrid Interpretable Models ↗Ziba Jabbar Zare, Ulrich Aïvodji, Julien Ferry et al.
  48. When LLM Governance Falls to Employees: Informal Practices of Responsible AI Use at Work ↗Tarini Saka, Sandy Hong, Veelasha Moonsamy
  49. When Reasoning Hurts Confidence: Demographic Calibration of Vision-Language Models in Medicine (Extended Abstract) ↗Sonnet Xu, Roxana Daneshjou
  50. Who Bears Privacy Risk? Model-Dependent Memorization in Synthetic Tabular Data ↗Aidan LoStracco, Joshua August Skorburg, Wenjing Zhang
  51. Who Brought Easter Eggs to Eid? Auditing LLM-Generated Cultural Translation of Math Word Problems Across Languages and Regions ↗Parisa Suchdev, Juniper Lovato
  52. Who Can Undo the Agent? Redressability as a First-Class Safety Property for Tool-Using AI Agents ↗Saad Alqithami, Abdulkareem Alzahrani
  53. Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering ↗Sumin Yu, Taesup Moon
  54. Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance ↗Mika Okamoto, Ansel Kaplan Erol, Kutluhan Erol
  55. Why and How People Check Generative AI Output for Mistakes ↗Patrick Gage Kelley, Derrick Feldmann, Reena Jana et al.
  56. ‘We’re Not Doing Ethical AI, We’re Doing Legal AI’: How Compliance Shapes Responsible AI Practice ↗Tallal Ahmad, Arshia Dutta, Corey Jackson et al.
  57. “Always Want to Use It for Everything”: Understanding Young Adults’ Perceptions of AI Dependence ↗Ashlee Milton, Leah Ajmani, Amy Heger et al.
  58. “Death By A Thousand Taxonomies?”: AI Risk Classification In Practice ↗Glen Berman, Ned Cooper, Angel Hsing‐Chi Hwang et al.
  59. “How Much Do You Want to Play God in Controlling the Dataset?”: Data Scientists’ Perspectives on Modifying Data to Address Fairness Concerns ↗Kevin Bryson, Galen Harrison, Margaret Jennings et al.
  60. “I Thought You Were the Uncensored Place”: Norms, Rules, and Moderation in AI-Generated Sexual Content Communities ↗Lucy Qin, Jaron Mink, Elissa M. Redmiles
  61. “I Want to Be Pushed, I Want to Grow”: Enabling Social Workers to Design Evaluations of LLM Augmentation in Their Work (Extended Abstract) ↗Anna Kawakami, Chloe Qianhui Zhao, Renee Shelby et al.
  62. “It’s OK Because…”: Students’ Rationalization of AI Use in Academic Writing ↗Jiyoon Kim, Kentaro Toyama, 김상미 et al.

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