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

262 papers · page 2 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/)

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101. **[FedFAn: Federated Learning for Facial Animation ↗](https://doi.org/10.1609/aies.v9i3.43286)**Jack Parry, Vinay Namboodiri
102. **[Five Obstacles to AI Trustworthiness Alignment and How to Deal with Them: Introducing the DELIB-TRUST Framework ↗](https://doi.org/10.1609/aies.v9i3.43248)**Pascal Koenig, Siddharth Mehrotra
103. **[Follow the Norm: Accounting for Fine-Tuning and Prompt Effects on Model Rationales ↗](https://doi.org/10.1609/aies.v9i3.43276)**Long Hoang Nguyen, Brice Valentin Kok-Shun, Guangyu Du et al.
104. **[Frictionless Validation: Exploring AI Sycophancy and Developmental Risks ↗](https://doi.org/10.1609/aies.v9i2.43234)**Junfeng Jiao, Abhejay Murali, Saleh Afroogh
105. **[From Compliance to Contextual Legitimacy: A Sociotechnical Framework for Evaluating AI Systems ↗](https://doi.org/10.1609/aies.v9i1.43146)**Giuditta Bellosi, Roberta Calegari
106. **[From Fair Representation to Just Recognition in Generative AI ↗](https://doi.org/10.1609/aies.v9i2.43192)**Severin Engelmann, Daniel Susser
107. **[From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight ↗](https://doi.org/10.1609/aies.v9i4.43324)**Daniel Susser, John Thickstun, Gili Vidan
108. **[From Model Approval to Interface Governance: Federated Learning, Lifecycle Accountability, and AI-Enabled Software as a Medical Device ↗](https://doi.org/10.1609/aies.v9i1.43147)**Ben Liu
109. **[From Model Duties to Downstream Fundamental Rights: Contextual Accountability for GPAI Under the EU AI Act ↗](https://doi.org/10.1609/aies.v9i4.43356)**Hannan Zhang, Xiangyi Liu
110. **[From Oracles to Productive Friction: Designing for Meaningful Human Oversight in Clinical AI ↗](https://doi.org/10.1609/aies.v9i3.43300)**Elisa Rubegni, Chiara Natali, Clara Valsecchi et al.
111. **[From Prediction Markets To Capability Markets: Epistemic Extractivism In Generative AI ↗](https://doi.org/10.1609/aies.v9i1.43150)**Glen Berman, James Smithies
112. **[From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch ↗](https://doi.org/10.1609/aies.v9i4.43304)**Laurens Samson, Iva Gornishka, Gossa Lô et al.
113. **[From Visibility to Accountability: Designing Actionable Transparency Infrastructures for Public-Sector AI ↗](https://doi.org/10.1609/aies.v9i4.43367)**Ana Gagua
114. **[From a River in Gilead to the Inference Distributions of Large Language Models: Covert Dialect Bias and Linguistic Profiling at Scale](https://md.research.elamur.ai/free/en/papers/abdullah-2026-river-gilead-inference-distributions-large/)**Chowdhury Mohammad Abdullah, Rita Orji*our summary*
115. **[Fundamentally Unfair: Analysis of Gendered Discourse in U.S. Capital Trials ↗](https://doi.org/10.1609/aies.v9i2.43218)**Camille Harris, Emma Harvey, Andrea W Wen-Yi et al.
116. **[Gender Bias and Sonic Gender Performance in AI-Generated Music: Representation, Expression, and Perception ↗](https://doi.org/10.1609/aies.v9i1.43142)**Minyeong Bae, Hyunjae Kim, Kyung Myun Lee
117. **[Generated Data, Real Consequences: Why LLMs Are Inappropriate for Development Aid Targeting ↗](https://doi.org/10.1609/aies.v9i4.43381)**M. Merritt Smith
118. **[Generative AI and Academic Self-Confidence: Understanding How AI Tools Influence English Learning Motivation Among Multilingual and International Students ↗](https://doi.org/10.1609/aies.v9i1.43179)**Sehrish Daud, Sourojit Ghosh
119. **[Govern, Map, Measure, Absorb: The Legibility Trap in Public Sector Participatory AI Governance ↗](https://doi.org/10.1609/aies.v9i3.43285)**Srijan Pandey, Devansh Saxena
120. **[Governing AI by Standards: Mapping AI Governance Themes in ISO/IEC and National AI Standards ↗](https://doi.org/10.1609/aies.v9i3.43252)**Marta Lasek-Markey, Delaram Golpayegani, Aphra Kerr et al.
121. **[Governing by Proxy: How Regulatory Intermediaries Shape EU AI Act Compliance in Practice ↗](https://doi.org/10.1609/aies.v9i2.43231)**Simon Jarvers, Orestis Papakyriakopoulos
122. **[Grounded but Misleading: Evaluating Semantic Alignment in AI-Generated Security Explanations ↗](https://doi.org/10.1609/aies.v9i1.43132)**Heajun An, Connor Ng, Sandesh Sharma Dulal et al.
123. **[Hands-Off or Hands-On? Variation in Area Chair Practices and Implications for AI Support ↗](https://doi.org/10.1609/aies.v9i1.43138)**Inès Arous, Neha Nayak Kennard, Andrei Mircea et al.
124. **[Hardware Is an AI Ethics Problem: Expert Visions for a Sustainable and Equitable Semiconductor Industry ↗](https://doi.org/10.1609/aies.v9i1.43137)**Naira Paola Arnez Jordan, Chiara Ullstein, Michel Hohendanner et al.
125. **[Hidden Errors in Big Data: The Case of Property Records ↗](https://doi.org/10.1609/aies.v9i4.43314)**Evelyn Smith, Emma Harvey, Jacob S. Goldin et al.
126. **[How Are Emerging Adults Using ChatGPT in the Wild? ↗](https://doi.org/10.1609/aies.v9i4.43340)**Marx Wang, Jade Li, Songling Ngo et al.
127. **[How to Catalyze Policy Guardrails against AI Chatbots' Potential Social-Emotional Harm: Lessons from Analogous Cases (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i1.43177)**Ned Cooper, Ibrahim Emara, Qian Yang
128. **[Human Rights by Design for AI Technologies: Towards Outlining and Operationalizing an Emerging Field of Research and Practice ↗](https://doi.org/10.1609/aies.v9i2.43229)**Leonardo Iwaya, Samuel Wairimu, Tara Mehrabi et al.
129. **[Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Level ↗](https://doi.org/10.1609/aies.v9i1.43167)**Hannah Cha
130. **[Improving AI Guard Rails with Moral Trust ↗](https://doi.org/10.1609/aies.v9i3.43283)**Taylor Olson
131. **[Investigating Feature Substitution in Algorithmic Worker-Scoring Models ↗](https://doi.org/10.1609/aies.v9i1.43119)**Abdulrahman Ababneh
132. **[Is This AI? Longitudinal Analysis of Strategies Used for AI Detection on Two Subreddits ↗](https://doi.org/10.1609/aies.v9i4.43351)**Christina Yeung, Galen Weld, Jaron Mink et al.
133. **[L2-Bench: An Evaluation Benchmark for Measuring LLM Capabilities in Second Language Education (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i2.43189)**James Edgell, Wm. Matthew Kennedy, Ben Knight et al.
134. **[LLMs as Narrators of Lived Experience: A Study of Generative Hermeneutical Epistemic Injustice in ADHD Sense-Making ↗](https://doi.org/10.1609/aies.v9i1.43140)**Anne Arzberger, Dongying Zhang
135. **[LLMs on the Political Compass: Prompt-Conditioned Positioning and Directional Drift ↗](https://doi.org/10.1609/aies.v9i1.43148)**Rim Ben Salem, Antonio Vincent Romeo, Esma Aı̈meur
136. **[Law of Large Numbers: Accuracy as Statistical Measure for Compliance and Competition ↗](https://doi.org/10.1609/aies.v9i2.43184)**Rabanus Derr, Alina Wernick, Robert C. Williamson
137. **[Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning ↗](https://doi.org/10.1609/aies.v9i3.43271)**Shravika Mittal, Su Lin Blodgett, Q. Vera Liao
138. **[Let’s Unlearn Stereotypes Before Decision-Making: The Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs ↗](https://doi.org/10.1609/aies.v9i1.43139)**Mina Arzaghi', Alireza Dehghanpour Farashah, Florian Carichon et al.
139. **[Limits of Interventions in AI-Assisted Decision Making ↗](https://doi.org/10.1609/aies.v9i4.43309)**Shikha Shrestha, Eunhye Ahn, Yevgeniy Vorobeychik
140. **[Linguistic Triggers of Gender and Racial Bias in Open-Weight LLMs Applied to Recruitment ↗](https://doi.org/10.1609/aies.v9i3.43247)**Kosuke Kitahara, Nobuhiro Yamaguchi
141. **[Locating Translation as a Craft in the Age of AI ↗](https://doi.org/10.1609/aies.v9i1.43171)**Daniel Chechelnitsky, Sireesh Gururaja, Seyi Olojo et al.
142. **[Lost in Translation: How Universal Ethical Values Fail to Translate Across Global Contexts ↗](https://doi.org/10.1609/aies.v9i3.43279)**Ozioma Collins Oguine, Munachimso Blessing Oguine, César Cervera et al.
143. **[Manipulation-Proof Oblivious Audits Against Deceptive Model Providers ↗](https://doi.org/10.1609/aies.v9i2.43209)**Augustin Godinot, Sofiane Azogagh, Julien Ferry et al.
144. **[Mediational Opacity: How AI Reshapes Our Epistemic Environments, and How to Audit It ↗](https://doi.org/10.1609/aies.v9i2.43194)**Alessandro Facchini
145. **[Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment ↗](https://doi.org/10.1609/aies.v9i4.43311)**Ashwin Singh, Carlos Castillo
146. **[MonitrLLM: A Community-Centered Evaluation Infrastructure for Large Language Models ↗](https://doi.org/10.1609/aies.v9i3.43280)**Victor Ojewale, Ro Encarnación, Suresh Venkatasubramanian et al.
147. **[Moral Missions: Sustaining Responsible Practice by Surfacing Practitioner Moral Decision-Making Procedures ↗](https://doi.org/10.1609/aies.v9i1.43145)**Teanna Barrett, B. Biira, Jainaba Jawara et al.
148. **[Nationwide AI Models for Depression Prediction: Regional Generalizability and Culturally Sensitive Variable Selection ↗](https://doi.org/10.1609/aies.v9i4.43332)**Alissa Valentine, Helen Coupland, Eike Petersen et al.
149. **[Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation ↗](https://doi.org/10.1609/aies.v9i2.43236)**Mackenzie Jorgensen, Jo Reilly, Alex Sutherland et al.
150. **[No More Plaudits for Algorithm Audits: A Provocation ↗](https://doi.org/10.1609/aies.v9i2.43185)**Alicia DeVrio, David Gray Widder
151. **[No One to Blame: A Framework of Constitutive AI Unaccountability ↗](https://doi.org/10.1609/aies.v9i3.43277)**Long Hoang Nguyen, Eva Späthe, Sebastian Lins et al.
152. **[On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses ↗](https://doi.org/10.1609/aies.v9i1.43126)**Aizierjiang Aiersilan, Artin Yousefi, Robert Pless
153. **[On the Generalizability of Fair Representations ↗](https://doi.org/10.1609/aies.v9i3.43254)**Tosca Lechner, Shai Ben-David, Ruth Urner
154. **[Open Science, Closed Models: How Funding Shapes AI in Science ↗](https://doi.org/10.1609/aies.v9i4.43329)**Ana Trišović, Janakan Sivaloganathan
155. **[Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments? ↗](https://doi.org/10.1609/aies.v9i3.43288)**Nirav Patel, Emily Wenger, Christopher J. Buccafusco
156. **[Parental Notification Gaps in ChatGPT-5: An Empirical Study ↗](https://doi.org/10.1609/aies.v9i2.43193)**Kerem Ersoz, Saleh Afroogh, David Atkinson et al.
157. **[Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers ↗](https://doi.org/10.1609/aies.v9i3.43246)**Taenyun Kim, Edyta P. Bogucka, Daniele Quercia
158. **[People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe ↗](https://doi.org/10.1609/aies.v9i4.43344)**Maria-Louisa Wightman, Guillaume Bied, Tijl De Bie
159. **[Personality Without Persons? A Psychometric Critique of Big Five Testing in Large Language Models ↗](https://doi.org/10.1609/aies.v9i4.43359)**Kim Zierahn, Cristina Cachero, Anna Korhonen et al.
160. **[Personalizing AI to Align with the Better You ↗](https://doi.org/10.1609/aies.v9i4.43318)**Jakob Stenseke, Jian Zhu, Dylan Hadfield-Menell
161. **[Pragmatic Explainable Machine Learning ↗](https://doi.org/10.1609/aies.v9i4.43369)**Sakina Hansen
162. **[Prediction Laundering: The Sociotechnical Production of Truth on Polymarket ↗](https://doi.org/10.1609/aies.v9i3.43299)**Yasaman Rohanifar, Syed Ishtiaque Ahmed, Sharifa Sultana
163. **[Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning ↗](https://doi.org/10.1609/aies.v9i3.43273)**Rakshit Naidu
164. **[Protecting the Mind: Privacy and Data Protection Challenges in Consumer Neurotechnology ↗](https://doi.org/10.1609/aies.v9i4.43378)**Irene Rocchesso
165. **[Protecting the Underrepresented: Data Debiasing via Asymmetric Adversarial Encoding for Fair Machine Learning ↗](https://doi.org/10.1609/aies.v9i1.43124)**Deepanshu Aggarwal, Puspita Majumdar
166. **[Qualifying and Quantifying Risk Under the EU AI Act ↗](https://doi.org/10.1609/aies.v9i2.43202)**Gustavo Gil Gasiola, Sarah Huiyi Cen, Frederike Zufall
167. **[Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems ↗](https://doi.org/10.1609/aies.v9i4.43333)**Paul Vautravers, Oliver Chalkley, Gabriel Downer et al.
168. **[RCTs & Human Uplift Studies: Methodological Challenges and Practical Solutions for Frontier AI Evaluation ↗](https://doi.org/10.1609/aies.v9i3.43287)**Patricia Paskov, Kevin Wei, Shen Zhou Hong et al.
169. **[Responsible AI as Hegemony: Epistemic Exclusion, Technosolutionist Conformity, and Performative Compliance Among AI Practitioners in India ↗](https://doi.org/10.1609/aies.v9i2.43205)**A. Ghoshal, Arshia Dutta, Ruba Abu-Salma et al.
170. **[Rethinking Agentic AI: A Sociotechnical Framework for Agents in Emergent Social Contexts ↗](https://doi.org/10.1609/aies.v9i4.43376)**Marcelina A Przespolewska
171. **[Rethinking Robot Ownership: Comparing Public, Corporate, and Private Ownership Models ↗](https://doi.org/10.1609/aies.v9i4.43307)**Isaac Sheidlower, T. Lazovich, Harini Suresh et al.
172. **[Rules or Character? Scaling Laws for AI Safety Design (Extended Abstract) ↗](https://doi.org/10.1609/aies.v9i4.43325)**Satoshi Takahashi, Nobuji Kouno, Masaaki Komatsu et al.
173. **[Safe Enough to Try GenAI: A Multi-Level Sociotechnical Approach for Responsible Generative AI in Public-Serving Organizations ↗](https://doi.org/10.1609/aies.v9i4.43372)**Ashley Khor
174. **[Safer On-Premise Medical AI: A Hybrid Framework for Hallucination Detection in Local LLMs ↗](https://doi.org/10.1609/aies.v9i4.43343)**Sanne Wielinga, Clara Maathuis, Natasha Alechina
175. **[Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains ↗](https://doi.org/10.1609/aies.v9i2.43243)**Emaan Bilal Khan, Amy Winecoff, Miranda Bogen et al.
176. **[Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice ↗](https://doi.org/10.1609/aies.v9i4.43352)**Artin Yousefi, Aizierjiang Aiersilan, Lorien C. Abroms et al.
177. **[Scaling, Lock-In, and Proxy Compliance: A Political Economy of Responsible AI ↗](https://doi.org/10.1609/aies.v9i1.43162)**Florian A. D. Burnat, Brittany I. Davidson
178. **[Secure Human Oversight of AI: Threat Modeling in a Socio-Technical Context ↗](https://doi.org/10.1609/aies.v9i2.43187)**Jonas C. Ditz, Veronika Lazar, Elmar Lichtmeß et al.
179. **[Selective Overconfidence: How Large Language Models Underserve Social Welfare Law Across Jurisdictions ↗](https://doi.org/10.1609/aies.v9i3.43294)**Shera Potka, Alex Thomo, Paula Helm et al.
180. **[Shaping the Future of Generative AI for Black Communities: A Frame Analysis of Public Discourse and Empirical Scholarly Research ↗](https://doi.org/10.1609/aies.v9i4.43313)**Angela D. R. Smith, Gabriella Thompson, Christopher L. Dancy et al.
181. **[Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap ↗](https://doi.org/10.1609/aies.v9i1.43123)**Sophia Abraham, Ben Bucknall
182. **[Simulation as Alibi — How the Social Order Gets Outsourced to LLM Agents ↗](https://doi.org/10.1609/aies.v9i4.43326)**Shiyun Tang, Zezheng Lin
183. **[Small-world Networks of Agents Brainstorm AI Risks to Support Ideation ↗](https://doi.org/10.1609/aies.v9i4.43358)**Ke Zhou, Edyta P. Bogucka, Daniele Quercia
184. **[Sources of Inequity and Fairness Risks in Wellbeing Sensing ↗](https://doi.org/10.1609/aies.v9i4.43355)**Han Zhang, Vedant Das Swain, Koustuv Saha et al.
185. **[Sovereignty Theater: Why Sovereign AI Falls Short of Cultural Self-Determination ↗](https://doi.org/10.1609/aies.v9i2.43200)**Bruria Friedman Feldman, Tyler Smith, Victor Wu et al.
186. **[Speech in the Panaudikon: On the Relationship Between Speech Processing Research and Surveillance ↗](https://doi.org/10.1609/aies.v9i4.43301)**Vasilisa Rudykh, Peter Bell, Zeerak Talat
187. **[Spotting (and Missing) Algorithmic Bias: Investigating User Understanding in a Fairness Assessment Tool ↗](https://doi.org/10.1609/aies.v9i4.43335)**Anna Verheyden, Yizhe Zhang, Robin De Croon et al.
188. **[Structure, Meaning, and the Answerability of Automated Systems ↗](https://doi.org/10.1609/aies.v9i4.43362)**Mattias Brännström
189. **[Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics ↗](https://doi.org/10.1609/aies.v9i1.43154)**Jessica Y. Bo, Paula Akemi Aoyagui, Shalaleh Rismani et al.
190. **[SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs ↗](https://doi.org/10.1609/aies.v9i1.43143)**Debopriyo Banerjee, Kapil Rajesh Kavitha, Angana Borah et al.
191. **[Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources ↗](https://doi.org/10.1609/aies.v9i1.43129)**Mowafak Allaham, Nicholas A. Diakopoulos
192. **[Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms ↗](https://doi.org/10.1609/aies.v9i1.43152)**Meghana Bhange, Ulrich Aïvodji, Elliot Creager
193. **[The AI Assessment Sandbox Configurator: A Framework to Support Technical Assessment in AI Regulatory Sandboxes ↗](https://doi.org/10.1609/aies.v9i1.43163)**Alessio Buscemi, German Castignani, Daniele Pagani et al.
194. **[The Algorithmic Flattening of Sound: Computational Evidence and Justice Implications of AI Music Homogenization ↗](https://doi.org/10.1609/aies.v9i4.43312)**Zoe Slendebroek, Danaë Metaxa
195. **[The Alignment Problem Is an Identity Problem: Lessons from Four Billion Years of Major Evolutionary Transitions ↗](https://doi.org/10.1609/aies.v9i3.43297)**Nyx Redondo
196. **[The Artificial Moral Machine: Do LLMs Mirror Human Moral Diversity or Merely Caricature It? ↗](https://doi.org/10.1609/aies.v9i3.43257)**Davide Liga, Yu Liuwen, Marija Slavkovik et al.
197. **[The Beginning of ChatGPT Ads ↗](https://doi.org/10.1609/aies.v9i3.43264)**Emma Lurie, Ro Encarnación, Sorelle A. Friedler et al.
198. **[The Benchmark Trap: Structures of Power and Injustice in AI Evaluations ↗](https://doi.org/10.1609/aies.v9i1.43157)**Jason Branford, Angelie Kraft
199. **[The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse ↗](https://doi.org/10.1609/aies.v9i2.43197)**Maurice Flechtner
200. **[The Disciplinary Language Transfer Problem: How Psychological Vocabulary Produces Governance Failures in AI Agent Deployment ↗](https://doi.org/10.1609/aies.v9i3.43253)**Kymberly Lasser-Chere, Tyler Akidau, Marc Millstone

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