---
title: "Proceedings of the AAAI/ACM Conference on AI Ethics and"
description: "All 298 papers of Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025 · page 3 of 3, the most cited first; those with our…"
canonical: "https://research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Proceedings of the AAAI/ACM Conference…](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/) / [2025](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/) / page 3

# Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025: all accepted papers

298 papers · page 3 of 3 · the most cited first · [← Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/) [2](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/2/) **3**

201. **[Complete Categorization of Instinct-Exploiting Data-Explanations and Their Generation with Large-Language Models ↗](https://doi.org/10.1609/aies.v8i2.36627)**Taro Higuchi, Einoshin Suzuki
202. **[Concept Creep in Safe Artificial Intelligence ↗](https://doi.org/10.1609/aies.v8i1.36599)**Laura Fearnley, Ibrahim Habli
203. **[Critical Explorations on the Socio-Ethical Implications of Creative AI for Artists ↗](https://doi.org/10.1609/aies.v8i3.36781)**Anna-Kaisa Kaila
204. **[Data Cleaning, Discard Studies, and Discretionary Power ↗](https://doi.org/10.1609/aies.v7i2.31893)**Pınar Barlas
205. **[Dataset-to-Dataset Evaluation Before (and Without) Sharing Data ↗](https://doi.org/10.1609/aies.v8i1.36604)**Keren Fuentes, Mimee Xu, Irene Y. Chen
206. **[Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended ↗](https://doi.org/10.1609/aies.v8i2.36649)**Tianqi Kou, Dan Calacci, Cindy Lin
207. **[Demographic-Agnostic Fairness Without Harm ↗](https://doi.org/10.1609/aies.v8i1.36565)**Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang
208. **[Deploying AI in Uncertain Environments: A Technical Limitation or a Human Characteristic? ↗](https://doi.org/10.1609/aies.v8i3.36772)**Marc T.J Elliott
209. **[Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation ↗](https://doi.org/10.1609/aies.v8i1.36549)**Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee et al.
210. **[Diverse Human Value Alignment for Large Language Models via Ethical Reasoning ↗](https://doi.org/10.1609/aies.v8i3.36744)**Jiahao Wang, Songkai Xue, Jinghui Li et al.
211. **[Do AI Companies Make Good on Voluntary Commitments to the White House? ↗](https://doi.org/10.1609/aies.v8i3.36743)**Jennifer Wang, Kayla Huang, Kevin Klyman et al.
212. **[Documenting Deployment with Fabric: A Repository of Real-World AI Governance ↗](https://doi.org/10.1609/aies.v8i2.36636)**Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins et al.
213. **[Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics ↗](https://doi.org/10.1609/aies.v8i2.36681)**Tin Nguyen, Jiannan Xu, Zora Che et al.
214. **[Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic Media ↗](https://doi.org/10.1609/aies.v8i1.36529)**Saquib Ahmed, Tejo Gayathri Busireddy, Sanorita Dey
215. **[Enhancing Transparency and Research Ethics through Human AI Techniques ↗](https://doi.org/10.1609/aies.v7i2.31894)**Tatiana Chakravorti
216. **[Exclusive Flux: A Review of Flux’s Generation of LGBTQ+ Couples ↗](https://doi.org/10.1609/aies.v8i3.36741)**Lynn Vonderhaar, Kayla Taylor, Jennifer Wojton et al.
217. **[Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation ↗](https://doi.org/10.1609/aies.v8i1.36590)**Mengchen Dong, Levin U. L. Brinkmann, Omar Sherif et al.
218. **[Exploring “Just Noticeable” Group Fairness in Rankings ↗](https://doi.org/10.1609/aies.v8i1.36532)**Mallak Alkhathlan, Hilson Shrestha, Lane Harrison et al.
219. **[Exporting Autonomy, Importing Dependency: The Geopolitical Work of “Sovereign AI” ↗](https://doi.org/10.1609/aies.v8i2.36634)**Heesoo Jang
220. **[Extended Abstract: Building Preference Aware Trustworthy AI Through Fairness and Interpretability ↗](https://doi.org/10.1609/aies.v8i3.36779)**Jingyu Hu
221. **[FATE-Compliant ML Architecture with Blockchain-Verifiable Auditing: A Governance Framework for Ethical Compliance in FinTech ↗](https://doi.org/10.1609/aies.v8i3.36782)**Samah S. Kareem
222. **[FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport ↗](https://doi.org/10.1609/aies.v8i2.36660)**Pengxi Liu, Yi Shen, Matthew Engelhard et al.
223. **[Fairness-Aware Post-Processing in Supervised Classification: L1/L2 Norm and Optimal Swapping Methods ↗](https://doi.org/10.1609/aies.v8i3.36738)**Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux et al.
224. **[From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical Research ↗](https://doi.org/10.1609/aies.v8i3.36715)**Scott Seidenberger, Anindya Maiti
225. **[From Efficiency to Equity: Measuring Fairness in Preference Learning ↗](https://doi.org/10.1609/aies.v8i2.36616)**Shreeyash Gowaikar, Hugo Berard, Rashid Ahmad Mushkani et al.
226. **[From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection ↗](https://doi.org/10.1609/aies.v8i1.36597)**Miriam Fahimi, Laura State, Atoosa Kasirzadeh
227. **[From Model Multiplicity to Prompt Multiplicity: Emerging Arbitrariness Concerns in the Age of Generative AI ↗](https://doi.org/10.1609/aies.v8i3.36776)**Prakhar Ganesh
228. **[From Sandbox to Laboratory: Refractive and Ethical Human / AI Knowledge Co-Production Through Game-ful Research Practices ↗](https://doi.org/10.1609/aies.v8i3.36728)**Lea Stöter
229. **[GRAILS - A Framework for Embedding Ethical Safeguards in Software Applications for Responsible AI ↗](https://doi.org/10.1609/aies.v8i2.36650)**Apurva Kulkarni, Chandrashekar Ramanathan
230. **[Generative Models for Art and Society ↗](https://doi.org/10.1609/aies.v7i2.31911)**Yankun Wu
231. **[Govern with, Not For: Understanding the Stuttering Community’s Preferences and Goals for Speech AI Data Governance in the US and China ↗](https://doi.org/10.1609/aies.v8i2.36654)**Jingjin Li, Peiyao Liu, Rebecca Lietz et al.
232. **[Governing AI Proactively: Cooperative Models of Anticipation and Accountability ↗](https://doi.org/10.1609/aies.v8i3.36783)**Jared Katzman
233. **[Hide or Highlight: Understanding the Impact of Factuality Expression on User Trust ↗](https://doi.org/10.1609/aies.v8i1.36589)**Hyo Jin Do, Werner Geyer
234. **[How Can Large Language Models Be More Reliable? ↗](https://doi.org/10.1609/aies.v8i3.36790)**Yael Moros-Daval
235. **[Human Centered AI for Research Ethics and Transparency ↗](https://doi.org/10.1609/aies.v8i3.36769)**Tatiana Chakravorti
236. **[Human Models for Planning Behavioral Interventions with Reinforcement Learning ↗](https://doi.org/10.1609/aies.v8i3.36791)**Eura Nofshin
237. **[Importance of User Control in Data-Centric Steering for Healthcare Experts ↗](https://doi.org/10.1609/aies.v8i1.36562)**Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
238. **[IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context ↗](https://doi.org/10.1609/aies.v8i1.36605)**Santhosh G S, Akshay Govind S, Gokul S Krishnan et al.
239. **[Intent-Aware Example-Based Explainability ↗](https://doi.org/10.1609/aies.v7i2.31906)**Ikhtiyor Nematov
240. **[Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations Theory ↗](https://doi.org/10.1609/aies.v8i3.36727)**Nicole Smith-Vaniz, Harper Lyon, Lorraine Steigner et al.
241. **[Known Unknowns and Unknown Unknowns: Designing a Scalable Adverse Event Reporting System for AI ↗](https://doi.org/10.1609/aies.v8i2.36607)**Lindsey Gailmard, Drew Spence, Christie Lawrence et al.
242. **[LLM-based Simulations of Human Behavior in Psychological Research ↗](https://doi.org/10.1609/aies.v8i1.36603)**Santiago Flórez Sánchez
243. **[Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming (Extended Abstract) ↗](https://doi.org/10.1609/aies.v8i2.36652)**Sung Hyun Kwon, Jessica Clark, Il-Horn Hann et al.
244. **[Lay Stakeholder Centric Sociotechnical Mechanisms for Addressing the Impacts of Generative AI ↗](https://doi.org/10.1609/aies.v8i3.36766)**Julia Barnett
245. **[Learning to Unlearn, Failing to Forget? Assessing Machine Unlearning Through Ethics and Epistemology ↗](https://doi.org/10.1609/aies.v8i1.36542)**Iqra Aslam, Donal Khosrowi, Rahul Nagshi
246. **[Legal Affiliates’ Views on Algorithmic Decision Making ↗](https://doi.org/10.1609/aies.v8i2.36647)**Styliani Kleanthous, Maria Kasinidou
247. **[Leveraging AI and ESG to Combat Corporate Corruption: An Integrated Framework ↗](https://doi.org/10.1609/aies.v8i3.36788)**Oludolapo Makinde
248. **[Localizing Persona Representations in LLMs ↗](https://doi.org/10.1609/aies.v8i1.36577)**Celia Cintas, Miriam Rateike, Erik Miehling et al.
249. **[Machine Legibility and Epistemic Governance in Malaysia’s Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State Power ↗](https://doi.org/10.1609/aies.v8i3.36792)**Hesam Nourooz Pour
250. **[Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology ↗](https://doi.org/10.1609/aies.v8i3.36726)**Mona Sloane, Abigail Z. Jacobs, Emanuel Moss
251. **[Making Sense of AI Ethics and Governance Investments ↗](https://doi.org/10.1609/aies.v8i1.36559)**Marianna Bergamaschi Ganapini, Nicholas Berente, Francesca Rossi et al.
252. **[Making Sense of Digital Domination ↗](https://doi.org/10.1609/aies.v7i2.31902)**Jonne Maas
253. **[Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material Interactions ↗](https://doi.org/10.1609/aies.v8i2.36648)**Goda Klumbytė, Claude Draude
254. **[Mimetic AI Systems: Understanding and Regulating the Use of Generative Models for Impersonation ↗](https://doi.org/10.1609/aies.v8i1.36564)**Norman Bukingolts
255. **[Model Multiplicity for Responsible AI ↗](https://doi.org/10.1609/aies.v7i2.31896)**Prakhar Ganesh
256. **[Modeling Strategic Risk in School Choice: A Case for Transparent Design ↗](https://doi.org/10.1609/aies.v8i3.36731)**Mayesha Tasnim, Paul Verhagen, Tobias Blanke et al.
257. **[Models and Algorithms for Balancing Efficiency and Equity in Vaccine Allocation ↗](https://doi.org/10.1609/aies.v8i2.36639)**Jeffrey Keithley, Madeline Bonner, Sriram V. Pemmaraju
258. **[Moral Agents Unlike Us (Extended Abstract) ↗](https://doi.org/10.1609/aies.v8i3.36716)**Jen Semler
259. **[Needle in a Patched Haystack: Evaluating Saliency Maps for Vision LLMs ↗](https://doi.org/10.1609/aies.v8i3.36763)**Bastien Zimmermann, Matthieu Boussard
260. **[Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts (Extended Abstract) ↗](https://doi.org/10.1609/aies.v8i3.36756)**David Doron Yaacov
261. **[On Forecasting Lags in AI Risk Evaluation ↗](https://doi.org/10.1609/aies.v8i3.36768)**Paolo Bova
262. **[On the Computational, Informational, and Physical Foundations for AI Safety ↗](https://doi.org/10.1609/aies.v8i3.36802)**Robin Young
263. **[Operationalizing Critical Data Approaches in Fraud Detection in Latin America ↗](https://doi.org/10.1609/aies.v8i2.36670)**Ana Paula Moritz, Alayna Kennedy
264. **[Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews ↗](https://doi.org/10.1609/aies.v8i3.36693)**Oriane Pierrès, Alireza Darvishy, Markus Christen
265. **[Predictability in Autonomous Driving Systems ↗](https://doi.org/10.1609/aies.v8i3.36789)**Fèlix Martí-Pérez
266. **[Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds ↗](https://doi.org/10.1609/aies.v8i2.36661)**Rawisara Lohanimit, Yankun Wu, Amelia Katirai et al.
267. **[RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies ↗](https://doi.org/10.1609/aies.v8i1.36591)**Jordan Duran, Samir Passi, Mihaela Vorvoreanu
268. **[Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter ↗](https://doi.org/10.1609/aies.v8i1.36569)**Christina A Chance, Kai-Wei Chang
269. **[Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking Interventions ↗](https://doi.org/10.1609/aies.v8i2.36677)**Pratheeksha Nair, Gabriel Lefebvre, Maryam Molamohammadi et al.
270. **[Resistance to Change as a Diagnostic Insight: An Interdisciplinary Examination of Stakeholder Opposition to AI in Primary Care ↗](https://doi.org/10.1609/aies.v8i3.36796)**Teresa Sides
271. **[Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and Disclosure ↗](https://doi.org/10.1609/aies.v8i1.36567)**Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent et al.
272. **[Reward-on-the-Line: A Novel Offline Reinforcement Learning Method for Building Legal Conversational Agents ↗](https://doi.org/10.1609/aies.v8i2.36657)**Xubo Lin, Mingze Wang, Grace Hui Yang et al.
273. **[Safe and Explainable Machine Learning for High-Impact Decisions ↗](https://doi.org/10.1609/aies.v8i3.36803)**Khadija Zanna
274. **[Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression ↗](https://doi.org/10.1609/aies.v8i1.36527)**Jadie Adams, Brian Hu, Emily Veenhuis et al.
275. **[Ten Insights from Other Domains That Inform Responsible AI Frameworks ↗](https://doi.org/10.1609/aies.v8i1.36534)**Dunstan Allison-Hope, Patrick Gage Kelley, Reena Jana et al.
276. **[The AI Power Disparity Index: Toward a Compound Measure of AI Actors’ Power to Shape the AI Ecosystem ↗](https://doi.org/10.1609/aies.v8i2.36645)**Rachel Kim, Blaine Kuehnert, Seth Lazar et al.
277. **[The Design and Analysis of Algorithmic Vaccine Allocation Frameworks ↗](https://doi.org/10.1609/aies.v8i3.36785)**Jeffrey Keithley
278. **[The Dilemmas of Moral Autonomy in the Transfer of Human Consciousness to AI ↗](https://doi.org/10.1609/aies.v8i3.36770)**Denis Chiriac
279. **[The Disparate Effects of Partial Information in Bayesian Strategic Learning ↗](https://doi.org/10.1609/aies.v8i1.36544)**Srikanth Avasarala, Serena Wang, Juba Ziani
280. **[The Ethics of Surveillance AI: Framing Data as a Socio-collective Good in Mitigating Data Colonialism ↗](https://doi.org/10.1609/aies.v8i3.36765)**A.D. Abdul Azeez
281. **[The Main Challenges of AI Ethics: Historical Contextualization, Black-Boxing, Social Biases, Labor Invisibility ↗](https://doi.org/10.1609/aies.v7i2.31899)**Konstantinos Konstantis
282. **[The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege ↗](https://doi.org/10.1609/aies.v8i2.36625)**Luxi He, Xiangyu Qi, Michel Liao et al.
283. **[The Politics of AI Systems Are Inextricable from Their Supply Chains: Public Values Versus the Digital Political Economy ↗](https://doi.org/10.1609/aies.v8i2.36610)**Ben Gansky
284. **[The Silicon Sovereignty Paradox: Navigating Fluid State-Corporate Power Dynamics in the Age of AI ↗](https://doi.org/10.1609/aies.v8i3.36725)**Maanya Singh, Anka Reuel
285. **[The Term ‘Agent’ Has Been Diluted Beyond Utility and Requires Redefinition ↗](https://doi.org/10.1609/aies.v8i1.36558)**Brinnae Bent
286. **[The ‘Wild West’ of Medicine: Exploring the Emergence of ‘Grassroots’ AI Governance in Radiology ↗](https://doi.org/10.1609/aies.v8i2.36608)**Bhargavi Ganesh, Daniel S. Schiff, Stuart Anderson
287. **[To Regulate or to Be Regulated? – How to Protect the ‘Freedom of Mind’ Against Emotional AI Surveillance ↗](https://doi.org/10.1609/aies.v8i3.36798)**Öznur Uğuz
288. **[Toward A Causal Framework for Modeling Perception ↗](https://doi.org/10.1609/aies.v8i1.36539)**José M. Álvarez, Salvatore Ruggieri
289. **[Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers ↗](https://doi.org/10.1609/aies.v8i2.36635)**Caroline M. Johnston, Olga Koumoundouros, Angel Hsing‐Chi Hwang et al.
290. **[Tree-Based Approaches for Interpretable Modeling in Healthcare ↗](https://doi.org/10.1609/aies.v7i2.31904)**Juliette Murris
291. **[Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users ↗](https://doi.org/10.1609/aies.v8i2.36659)**Bo-Yi Liu, Z. K. Liu, Kuan Lun Chen et al.
292. **[Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany ↗](https://doi.org/10.1609/aies.v8i2.36638)**Jakob Kappenberger, Clara Strasser Ceballos, Frederic Gerdon et al.
293. **[Value Creation and Value Capture in AI: A Triple Helix Model ↗](https://doi.org/10.1609/aies.v8i2.36662)**Antoni Lorente
294. **[What’s Individual About Individual Fairness? ↗](https://doi.org/10.1609/aies.v8i1.36556)**Shai Ben-David, Pascale Gourdeau, Tosca Lechner et al.
295. **[When Algorithms Fail: The Case for Moral Repair (Extended Abstract) ↗](https://doi.org/10.1609/aies.v8i3.36752)**Pak‐Hang Wong, Gernot Rieder
296. **[Who Foots the Bill? State-Backed No-Fault Compensation for Experimental Harms in Artificial Intelligence Regulatory Sandboxes ↗](https://doi.org/10.1609/aies.v8i3.36734)**Ha-Chi Tran
297. **[Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America ↗](https://doi.org/10.1609/aies.v8i1.36579)**Andrea Cremaschi, Dae‐Jin Lee, Manuele Leonelli
298. **[“Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command Rejection ↗](https://doi.org/10.1609/aies.v8i2.36623)**Alyssa Hanson, Gordon Briggs, Ruchen Wen et al.

[← prev](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/2/) [1](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/) [2](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/papers/page/2/) **3**

- [← back to](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/2025/) — Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025