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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](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2026/)

[← prev](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2026/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2026/papers/) [2](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2026/papers/page/2/) **3**

201. **[The Effects of Functional Emotions on LLM-Based Paper Review ↗](https://doi.org/10.1609/aies.v9i1.43149)**Pedro Bento, Yan Aquino, Arthur Chagas et al.
202. **[The Epistemic Politics of AI Anthropomorphism ↗](https://doi.org/10.1609/aies.v9i1.43165)**Donna M Bye, Levin Kuhlmann
203. **[The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested ↗](https://doi.org/10.1609/aies.v9i4.43338)**Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka
204. **[The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies ↗](https://doi.org/10.1609/aies.v9i1.43141)**Farah Atif, Sougata Saha, Monojit Choudhury
205. **[The Forager’s Dilemma: Peer Enforcement Alone Is Not Enough for Stable Multi-Agent Alignment ↗](https://doi.org/10.1609/aies.v9i2.43203)**Majid Ghasemi, Prabhjyot Singh, Mark Crowley
206. **[The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search ↗](https://doi.org/10.1609/aies.v9i4.43303)**Hana Samad, Trung Lam, Christoph Mügge-Durum et al.
207. **[The Hidden Cost of a Friendly Face: Investigating the Effect of Agent Embodiment on Trust Loss in Conversational Recommender Systems After Misleading Health Claims ↗](https://doi.org/10.1609/aies.v9i2.43215)**Haya Halimeh
208. **[The Hidden Tax of AI Safety: Residual Risk Redistribution in Automated Governance ↗](https://doi.org/10.1609/aies.v9i1.43156)**Henrietta Boowuo, Ernest Ofori-Mensah
209. **[The Inherent Politics of AI as a Matter of Justice ↗](https://doi.org/10.1609/aies.v9i4.43382)**Laila Wegner
210. **[The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions ↗](https://doi.org/10.1609/aies.v9i2.43223)**Hadi Hosseini, Samarth Khanna, Leona Pierce
211. **[The Limits of Machine Unlearning as a Means of Political Protest ↗](https://doi.org/10.1609/aies.v9i1.43120)**Houssam Abbas, Alicia Patterson
212. **[The Mitigation Paradox: How AI-Disinformation Experts Converge on Threats but Polarize on Solutions ↗](https://doi.org/10.1609/aies.v9i3.43261)**Alexander Loth, Mina Schütz, Martin Kappes et al.
213. **[The Ownership Cost of AI Goal-Setting: Empirical Evidence for a Quality-Motivation Dissociation and Differential Harm to Vulnerable Users (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i1.43172)**Vivienne Bihe Chi, Roman Rietsche, Andreas Göldi et al.
214. **[The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products ↗](https://doi.org/10.1609/aies.v9i3.43255)**Hao-Ping Lee, Jessica He, David Piorkowski et al.
215. **[The Politics of AI Ethics: How Normative Principles Translate into Law and Policy in South Korea ↗](https://doi.org/10.1609/aies.v9i1.43176)**Chee Hae Chung, Daniel Schiff
216. **[The Promises and Limitations of Evaluation-Based AI Governance: Evidence from Expert Interviews ↗](https://doi.org/10.1609/aies.v9i4.43317)**Lily Stelling, Jacob Charnock, Kevin Wei et al.
217. **[The Prompt Engineering Fallacy: How Diverse Users Construct Prompts in Health Chatbot Interactions ↗](https://doi.org/10.1609/aies.v9i4.43373)**Jia Lin
218. **[The Unfalsifiable Delusion: Mass Surveillance Infrastructure and Disparate Impact on Americans with Paranoia-Spectrum Conditions ↗](https://doi.org/10.1609/aies.v9i2.43208)**Travis Gilly
219. **[Towards Characterising Conditions of Assistance, Hindrance and Depletion in Human Agency from AI Systems ↗](https://doi.org/10.1609/aies.v9i2.43233)**Tushita Jha, Rory Svarc, Tom Everitt
220. **[Towards Culturally Grounded Emotional AI via a Community-Centred Approach ↗](https://doi.org/10.1609/aies.v9i4.43377)**Himashi Rathnayake
221. **[Towards Fair and Accurate Short VAAs: Adaptive Ordering and Imputation in Democratic Recommendation Systems ↗](https://doi.org/10.1609/aies.v9i2.43186)**Thilo Ignaz Dieing, Lea Cohausz
222. **[Towards Justice-Oriented AI: Reflections on a Research-Community Partnership to Co-Develop Swahili AI Tools ↗](https://doi.org/10.1609/aies.v9i3.43256)**Sybille Légitime, Kirabo Kakopo Atuhurira, Audrey Mugeni et al.
223. **[Towards Stakeholder-Grounded Requirements Engineering in AI System Specification ↗](https://doi.org/10.1609/aies.v9i2.43224)**Danniell Hu, Westley Weimer, Elizabeth Bondi
224. **[Towards Trustworthy Intelligent Tutoring Systems for Nursing Education: Integrating Nurse-Informed Design with a Frugal Neuro-Symbolic Architecture ↗](https://doi.org/10.1609/aies.v9i4.43364)**Nevena Kostadinova Dicheva
225. **[Tracing Borrowed Authority in Relational AI Systems ↗](https://doi.org/10.1609/aies.v9i4.43379)**Hanjing Shi
226. **[Tracking AI Advisory Drift Before It Reaches the Farms: Measuring Contextual Reliability in LLM-Generated Advice Across the Agricultural Landscape ↗](https://doi.org/10.1609/aies.v9i3.43268)**Jerry H. Martin, Tianyi Li
227. **[Triangulating Across U.S. Federal AI Transparency Regimes ↗](https://doi.org/10.1609/aies.v9i3.43265)**Emma Lurie, Emma Fauser, Qing He et al.
228. **[Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents ↗](https://doi.org/10.1609/aies.v9i3.43250)**Gabriele La Malfa, Lakmal Meegahapola, Edyta P. Bogucka et al.
229. **[Understanding Fairness–Privacy Interactions in Graph Neural Networks: A Literature Review, Taxonomy, and Open Challenges ↗](https://doi.org/10.1609/aies.v9i4.43357)**Jingyan Zhang, Irina Tal
230. **[Untangling Trust, Transparency, and Uncertainty in AI Literature and Policy ↗](https://doi.org/10.1609/aies.v9i3.43278)**Kai Nylund, Shani Claire Spivak, Dakuo Wang et al.
231. **[User Perceptions of Responsibility and Autonomy of AI Consent Behaviours ↗](https://doi.org/10.1609/aies.v9i1.43136)**Anastasia Sophia Apeiron, Pradeep Kumar Murukannaiah, Pınar Yolum
232. **[Virtue by Observation: Social Reinforcement Learning for Intrinsically Ethical Agents ↗](https://doi.org/10.1609/aies.v9i4.43368)**Majid Ghasemi
233. **[Visions of Disciplinary and Education Futures with Generative AI ↗](https://doi.org/10.1609/aies.v9i4.43315)**Jaemarie Solyst, Amy J. Ko, R. Benjamin Shapiro
234. **[Wanted Dead or Alive: Anticipatory Regulation of Digital Immortality Platforms ↗](https://doi.org/10.1609/aies.v9i2.43207)**Alexandra Gillespie, James Garforth, Stacy A. Doore
235. **[We Need Explanation Cards to Connect Explanation Algorithms to the Real World ↗](https://doi.org/10.1609/aies.v9i2.43212)**Eric Günther, Balázs Szabados, Kristof Meding et al.
236. **[What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations) ↗](https://doi.org/10.1609/aies.v9i2.43191)**Ro Encarnación, Tina Behzad, Emma Lurie et al.
237. **[What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education ↗](https://doi.org/10.1609/aies.v9i4.43349)**Kai Yao
238. **[What Drivers Want vs. What Drivers Take: A Worker-Centered View of Fairness in Ridehail Platforms ↗](https://doi.org/10.1609/aies.v9i1.43178)**Samantha Dalal, Varun Nagaraj Rao, Christine Ao et al.
239. **[What Should AI Generate? Moving Beyond Bias in Generative Systems ↗](https://doi.org/10.1609/aies.v9i1.43173)**Jennifer Chien
240. **[What Should I Become? When LLMs Present a Slice of Opportunity as the Whole ↗](https://doi.org/10.1609/aies.v9i4.43346)**Taylor Wise, Scott Seidenberger, Anindya Maiti
241. **[When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary ↗](https://doi.org/10.1609/aies.v9i3.43249)**Haewoon Kwak
242. **[When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution ↗](https://doi.org/10.1609/aies.v9i4.43350)**Kai Yao
243. **[When AI Enters the Workplace, Who Faces Greater Risk? A Gendered Analysis ↗](https://doi.org/10.1609/aies.v9i2.43195)**Miriam Fernandez, Ángel Pavón Pérez, Damiano Giallongo et al.
244. **[When Cooperation Predictions Become Reasons to Defect: Policy Defaults in LLM Assistance for Social Dilemmas ↗](https://doi.org/10.1609/aies.v9i4.43327)**Kazunori Terada, Henrique Correia da Fonseca, Celso M. de Melo et al.
245. **[When Distrust in Humans Drives Trust in AI: Institutional Bias and Algorithmic Preference Among Marginalized Groups (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i2.43235)**S Mo Jones-Jang, Rylee Ahn, 이지영
246. **[When Government Uses AI: Experimental Evidence of Selective Trust Decline and Algorithmic Nimbyism ↗](https://doi.org/10.1609/aies.v9i4.43337)**Daniel Juhász Vigild, Andreas Bjerre-Nielsen, Laust Hvas Mortensen et al.
247. **[When Interpretability Is Unequally Distributed: Fairness in Hybrid Interpretable Models ↗](https://doi.org/10.1609/aies.v9i2.43230)**Ziba Jabbar Zare, Ulrich Aïvodji, Julien Ferry et al.
248. **[When LLM Governance Falls to Employees: Informal Practices of Responsible AI Use at Work ↗](https://doi.org/10.1609/aies.v9i4.43302)**Tarini Saka, Sandy Hong, Veelasha Moonsamy
249. **[When Reasoning Hurts Confidence: Demographic Calibration of Vision-Language Models in Medicine (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i4.43348)**Sonnet Xu, Roxana Daneshjou
250. **[Who Bears Privacy Risk? Model-Dependent Memorization in Synthetic Tabular Data ↗](https://doi.org/10.1609/aies.v9i3.43260)**Aidan LoStracco, Joshua August Skorburg, Wenjing Zhang
251. **[Who Brought Easter Eggs to Eid? Auditing LLM-Generated Cultural Translation of Math Word Problems Across Languages and Regions ↗](https://doi.org/10.1609/aies.v9i4.43321)**Parisa Suchdev, Juniper Lovato
252. **[Who Can Undo the Agent? Redressability as a First-Class Safety Property for Tool-Using AI Agents ↗](https://doi.org/10.1609/aies.v9i1.43130)**Saad Alqithami, Abdulkareem Alzahrani
253. **[Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering ↗](https://doi.org/10.1609/aies.v9i4.43353)**Sumin Yu, Taesup Moon
254. **[Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance ↗](https://doi.org/10.1609/aies.v9i3.43282)**Mika Okamoto, Ansel Kaplan Erol, Kutluhan Erol
255. **[Why and How People Check Generative AI Output for Mistakes ↗](https://doi.org/10.1609/aies.v9i2.43242)**Patrick Gage Kelley, Derrick Feldmann, Reena Jana et al.
256. **[‘We’re Not Doing Ethical AI, We’re Doing Legal AI’: How Compliance Shapes Responsible AI Practice ↗](https://doi.org/10.1609/aies.v9i1.43125)**Tallal Ahmad, Arshia Dutta, Corey Jackson et al.
257. **[“Always Want to Use It for Everything”: Understanding Young Adults’ Perceptions of AI Dependence ↗](https://doi.org/10.1609/aies.v9i3.43270)**Ashlee Milton, Leah Ajmani, Amy Heger et al.
258. **[“Death By A Thousand Taxonomies?”: AI Risk Classification In Practice ↗](https://doi.org/10.1609/aies.v9i1.43151)**Glen Berman, Ned Cooper, Angel Hsing‐Chi Hwang et al.
259. **[“How Much Do You Want to Play God in Controlling the Dataset?”: Data Scientists’ Perspectives on Modifying Data to Address Fairness Concerns ↗](https://doi.org/10.1609/aies.v9i1.43159)**Kevin Bryson, Galen Harrison, Margaret Jennings et al.
260. **[“I Thought You Were the Uncensored Place”: Norms, Rules, and Moderation in AI-Generated Sexual Content Communities ↗](https://doi.org/10.1609/aies.v9i3.43295)**Lucy Qin, Jaron Mink, Elissa M. Redmiles
261. **[“I Want to Be Pushed, I Want to Grow”: Enabling Social Workers to Design Evaluations of LLM Augmentation in Their Work (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i2.43241)**Anna Kawakami, Chloe Qianhui Zhao, Renee Shelby et al.
262. **[“It’s OK Because…”: Students’ Rationalization of AI Use in Academic Writing ↗](https://doi.org/10.1609/aies.v9i3.43245)**Jiyoon Kim, Kentaro Toyama, 김상미 et al.

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