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title: "FAccT 2026 — all accepted papers, page 2 — the most cited first"
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# FAccT 2026: all accepted papers

314 papers · page 2 of 4 · the most cited first · [← FAccT 2026](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2026/)

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101. **[Co-Constructing Alignment: A Participatory Approach to Situating AI Values ↗](https://doi.org/10.1145/3805689.3812267)**Anne Arzberger, Enrico Liscio, Maria Luce Lupetti et al.
102. **[Co-Designing Organizational Justice Indicators for Algorithmic Systems ↗](https://doi.org/10.1145/3805689.3812408)**Fujiko Robledo Yamamoto, Nicholas Mattei, Pradeep Ragothaman et al.
103. **[Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring ↗](https://doi.org/10.1145/3805689.3812213)**Changyang He, Nina Baranowska, Josu Andoni Eguíluz Castañeira et al.
104. **[CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations ↗](https://doi.org/10.1145/3805689.3812226)**Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim
105. **[Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education ↗](https://doi.org/10.1145/3805689.3812394)**Amogh Gupta, Niharika Patil, Sourojit Ghosh et al.
106. **[Conformal Prediction and the Many-Worlds of Fairness ↗](https://doi.org/10.1145/3805689.3812391)**Julia Brodén, Jan Simson, Christoph A. Kern
107. **[Connective Democratic Tissue: Second-Order Technologies for Civic Ecosystems ↗](https://doi.org/10.1145/3805689.3812416)**Julián Goñi, Margaret A. Hughes, Stuart Lynn
108. **[Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles ↗](https://doi.org/10.1145/3805689.3812261)**Jose Luna, Yankun Wu, Xiaofei Xie et al.
109. **[Counterfactuals for Bias Audits should be Plausible, Diverse, and Faithful ↗](https://doi.org/10.1145/3805689.3812412)**Giuseppe Valerio, André V. Carreiro, Chrysoula Zerva
110. **[Crowding Out the Noise: Algorithmic Collective Action Under Differential Privacy ↗](https://doi.org/10.1145/3805689.3806475)**Rushabh Solanki, Meghana Bhange, Ulrich Aïvodji et al.
111. **[Data Bias Mitigation under Coverage Constraints & The Price of Fairness ↗](https://doi.org/10.1145/3805689.3812359)**Bruno Scarone, Alfredo Viola, Renée J. Miller
112. **[Defining the Problem, Setting the Standard? Platform Narratives and Interventions for Digital Well-Being ↗](https://doi.org/10.1145/3805689.3812409)**Yu Yamashita, Lin Kyi, Changyang He et al.
113. **[Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE ↗](https://doi.org/10.1145/3805689.3812406)**Hardy, Sebastian Padó, Amelie Wuehrl et al.
114. **[Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals ↗](https://doi.org/10.1145/3805689.3806449)**Patrick Gerard, Svitlana Volkova
115. **[Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education ↗](https://doi.org/10.1145/3805689.3806466)**Hamayoon Behmanush, Freshta Akhtari, Ingmar Weber et al.
116. **[Designing with AI at Work: Designers' Expertise and Pragmatic Decision-Making in Workplace AI Transformation ↗](https://doi.org/10.1145/3805689.3812239)**Huiran Yi, Lu Xian, Yile Zhang et al.
117. **[Developer and End User Interpretations of Data Minimization ↗](https://doi.org/10.1145/3805689.3812326)**Liam Bayer, Jessica Tong, Eleanor Birrell
118. **[Developing an Assessment Tool for AI Guidelines ↗](https://doi.org/10.1145/3805689.3812345)**Julian Pelloth, Katharina Anna Zweig
119. **[Diagnosing Algorithmic Bias: A Group Influence Framework for Fairness Auditing ↗](https://doi.org/10.1145/3805689.3806732)**Olalekan Joseph Akintande, Amirreza Takhsha, Sune Holm et al.
120. **[Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles ↗](https://doi.org/10.1145/3805689.3812419)**Irti Haq, Belén Saldías-Fuentes
121. **[Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI ↗](https://doi.org/10.1145/3805689.3812220)**Blaine Kuehnert, Nari Johnson, Ravit Dotan et al.
122. **[Do Attachment Styles Shape ChatGPT Usage? ↗](https://doi.org/10.1145/3805689.3812418)**Marx Wang, Jade Xiaoyi Li, Songling Ngo et al.
123. **[Do Chinese models speak Chinese languages? ↗](https://doi.org/10.1145/3805689.3812333)**Andrea W Wen-Yi, Unso Eun Seo Jo, David Mimno
124. **[Do Language Models Pass the Bechdel Test? Auditing Gender Biases in LLM-Generated Screenplays ↗](https://doi.org/10.1145/3805689.3812208)**Megha N. Govindu, S. Wang, Sorelle A. Friedler et al.
125. **[Do User-Aligned Explanations Steer Human Decisions? Context-Dependent Influence and Ethical Implications ↗](https://doi.org/10.1145/3805689.3812288)**Mingzhe Yang, Rina Kagawa, Yukino Baba
126. **[Do You Trust the Process?: Trust-Contingent Reinforcement Learning for Resource Allocation ↗](https://doi.org/10.1145/3805689.3812274)**Naina Balepur, Keshav Subramonian, Hari Sundaram
127. **[Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions ↗](https://doi.org/10.1145/3805689.3812380)**Hansol Lee, AJ Alvero, René F. Kizilcec et al.
128. **[Does It Lead to Prejudice or Discrimination? An Assessment of Stereotypes in LLM Decision-Making ↗](https://doi.org/10.1145/3805689.3812286)**Tatsuhiro Aoshima, Mitsuaki Akiyama
129. **[Don't Trust the Process: When Verifiability Undermines AI Accountability ↗](https://doi.org/10.1145/3805689.3812373)**Tamara Paris, AJung Moon, Jin Guo
130. **[Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models for Health Advice using Crowdsourced Clinical Cases ↗](https://doi.org/10.1145/3805689.3812315)**Bonam Mingole, Aditya Majumdar, Firdaus Ahmed Choudhury et al.
131. **[EcoChat Probe: How Energy Feedback Shapes End Users' Interpretations of Everyday Generative AI Use ↗](https://doi.org/10.1145/3805689.3812368)**Yuheng, id_orcid 0009-0006-7228-3996 Ren, Luiz Morais et al.
132. **[Effect of Resources on the Efficiency-Fairness Tradeoff for Allocation Problems ↗](https://doi.org/10.1145/3805689.3812245)**Shubham Singh, Chris Kanich, Ian A. Kash
133. **[Effects of Personality- and Opinion-Alignment in Human-AI Interaction ↗](https://doi.org/10.1145/3805689.3812350)**Maximilian Eder, Clemens M. Lechner, Maurice Jakesch
134. **[Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation ↗](https://doi.org/10.1145/3805689.3812229)**Aniketh Iyengar, Jiaqi Han, Boris Ruf et al.
135. **[Energy Shields for Fairness ↗](https://doi.org/10.1145/3805689.3806807)**Filip Cano, Thomas A. Henzinger, Konstantin Kueffner
136. **[Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration ↗](https://doi.org/10.1145/3805689.3812341)**Simon Jarvers, Orestis Papakyriakopoulos
137. **[Estimating the Sample Size Required to Minimize Model Uncertainty Across Different Risk Profiles ↗](https://doi.org/10.1145/3805689.3812316)**Fleur Vereijken, Jenna Reps, Egill Axfjord Fridgeirsson et al.
138. **[Ethics-in-practice in UX Design: an Empirical Study of an AI-Based Conversational Support Tool ↗](https://doi.org/10.1145/3805689.3812474)**Xiaotang Wei, Elena Beretta
139. **[Evaluating Model Performance and Fairness without Labeled Representative Data ↗](https://doi.org/10.1145/3805689.3812303)**Evelien van der Laan, Nikolaj Tollenaar, Ana Isabel Barros et al.
140. **[Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development ↗](https://doi.org/10.1145/3805689.3812411)**Eshta Bhardwaj, Ciara Zogheib, Christoph Becker
141. **[Everyday Auditing of TikTok's Generative AI Manga Filter ↗](https://doi.org/10.1145/3805689.3812379)**Ro Encarnación, Luis Morales‐Navarro, Hita Kambhamettu et al.
142. **[Expanding External Access to Frontier AI Models for Dangerous Capability Evaluations ↗](https://doi.org/10.1145/3805689.3812365)**Jacob Charnock, Alejandro Tlaie, Kyle O'Brien et al.
143. **[Explanatory Pragmatism 2.0: Towards a Framework for Context-Sensitive, Human-Centred Interactive Explanations of AI ↗](https://doi.org/10.1145/3805689.3812233)**L. C. Connelly, T. M. Pedersen, Klara Øvlisen et al.
144. **[Exposure to news and political content on TikTok: A Case Study Around the 2024 US Election ↗](https://doi.org/10.1145/3805689.3812207)**Chang Ge, Nilay Gautam, Shreyas Vajjhala et al.
145. **[FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism ↗](https://doi.org/10.1145/3805689.3812300)**Stefano Sorrentino, Matilde Barbini, Daniel Gática-Pérez
146. **[Fair Play: Exploring Play, Accessibility and Representation Towards a Framework for Fairness in Digital Games ↗](https://doi.org/10.1145/3805689.3806733)**Virgínia Fernandes Mota, Camila Laranjeira, Thaís Steinmüller et al.
147. **[FairHireBench: A Cross-Generational Intersectional Bias Benchmark for Large Language Models in Automated Hiring ↗](https://doi.org/10.1145/3805689.3806487)**Sweta J Ratnani, Lingyao Li, Yitian Lou et al.
148. **[Fairness Beyond Popularity: Auditing and Mitigating Betweenness Centrality Disparities in Link Recommendation ↗](https://doi.org/10.1145/3805689.3812364)**Madhura Manish Pawar, Fariba Karimi, Fernando Pereira dos Santos
149. **[Fairness under uncertainty in sequential decisions ↗](https://doi.org/10.1145/3805689.3812272)**Michelle Seng Ah Lee, Kirtan Shyamal Padh, David Watson et al.
150. **[Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems ↗](https://doi.org/10.1145/3805689.3812302)**Mieke Wilms, Christoph Heitz
151. **[Fairness-Aware Multi-Group Target Detection in Online Discussion ↗](https://doi.org/10.1145/3805689.3806441)**Soumyajit Sen Gupta, Maria De‐Arteaga, Matthew Lease
152. **[Falsifying Discriminant Validity of Predictive Algorithms ↗](https://doi.org/10.1145/3805689.3812310)**Amanda Coston
153. **[FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation ↗](https://doi.org/10.1145/3805689.3812291)**Xenia Heilmann, Luca Corbucci, Mattia Cerrato et al.
154. **[First-See-Then-Design: A Multi-Stakeholder View for Optimal Performance-Fairness Trade-Offs ↗](https://doi.org/10.1145/3805689.3806541)**Kavya Gupta, Nektarios Kalampalikis, Christoph Heitz et al.
155. **[Fixed Points and Stochastic Meritocracies: A Long-Term Perspective ↗](https://doi.org/10.1145/3805689.3806540)**Gaurab Pokharel, Diptangshu Sen, Sanmay Das et al.
156. **[Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems ↗](https://doi.org/10.1145/3805689.3812339)**Parand A. Alamdari, Toryn Q. Klassen, Sheila A. McIlraith
157. **[Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks ↗](https://doi.org/10.1145/3805689.3812369)**Alice Gao, Andrew N. Meltzoff, Maarten Sap et al.
158. **[Frictionless Love: Associations Between AI Companion Roles and Behavioral Addiction ↗](https://doi.org/10.1145/3805689.3812235)**Vibhor Agarwal, Ke Zhou, Edyta P. Bogucka et al.
159. **[From Concepts to Practice: Challenges of Risk-Benefit Assessment in AI Research & Applications ↗](https://doi.org/10.1145/3805689.3812216)**Motahhare Eslami, Shixian Xie, Niloofar Nikookar et al.
160. **[From Curiosity to Caution: How Expertise Shapes the Use of Interpretable Machine Learning ↗](https://doi.org/10.1145/3805689.3812376)**Sameer Naqvi, Gayathri Balaji, Angelique Laju et al.
161. **[From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse ↗](https://doi.org/10.1145/3805689.3812251)**Lena Marie Budde, Ayan Majumdar, Richard Uth et al.
162. **[From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives ↗](https://doi.org/10.1145/3805689.3806735)**Delfina Sol Martinez Pandiani, Ella Streefkerk, Laurens Naudts et al.
163. **[Frontier Safety Policies for AI Emergency Preparedness in China ↗](https://doi.org/10.1145/3805689.3812243)**James Zhang, Miles Kodama, Zongze Wu et al.
164. **[Future Imperfect? Evaluating Whether AI-Powered Web Accessibility Overlays are Worth the Hype ↗](https://doi.org/10.1145/3805689.3812259)**Parker Hartman, Tim Gorichanaz
165. **[Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South ↗](https://doi.org/10.1145/3805689.3812296)**Charvi Rastogi, Mukul Bhutani, Minsuk Kahng et al.
166. **[Governance Through Uncertainty: What Chinese Algorithmic Systems Reveal About the Limits of Fairness, Accountability, and Transparency ↗](https://doi.org/10.1145/3805689.3806495)**Jason C. Lau
167. **[Governing AI Companionship: Lessons from Social Media Regulation ↗](https://doi.org/10.1145/3805689.3812294)**Guan Yue Wu
168. **[Greek Mythology as a Lens for Understanding the Risks, Biases, and Ethics of Artificial Intelligence ↗](https://doi.org/10.1145/3805689.3812367)**Fabrice Muhlenbach
169. **[Guardrails versus Gatekeepers: Understanding Product Managers' Ethical Decision-Making in Generative AI ↗](https://doi.org/10.1145/3805689.3812395)**Genevieve Macfarlane Smith, Natalia Luka, Merrick Robinson Osborne et al.
170. **[HEART Attacks: Healthcare Evaluation of Adversarial RobusTness ↗](https://doi.org/10.1145/3805689.3812343)**Martín Suárez-Fernández, Enrique Lopez-Cuena, Jaume Guasch-Martí et al.
171. **[Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights ↗](https://doi.org/10.1145/3805689.3806734)**Rafiya Javed, Cassandra Parent, Jackie Kay et al.
172. **[Helpful, Harmless, Honest? RLHF as Survey Design and Content Moderation ↗](https://doi.org/10.1145/3805689.3806444)**Samantha D'Alonzo, Frauke Kreuter, Serena Booth
173. **[Hidden Beyond the Gender Binary: Pitch-Based Insights into Bias Mitigation for Keyword Spotting ↗](https://doi.org/10.1145/3805689.3812322)**Negin Firouzian, Jacob St-Germain, Brett H. Meyer
174. **[How Can AI Augment Access to Justice? Public Defenders' Perspectives on Responsible AI Adoption ↗](https://doi.org/10.1145/3805689.3806526)**Inyoung Cheong, Patty Liu, Dominik Stammbach et al.
175. **[How Formerly Incarcerated People Envision Technologies for Prison Parole ↗](https://doi.org/10.1145/3805689.3812258)**Saiph Savage, Jesse Nava, Wanqing Iris Zhou et al.
176. **[How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI ↗](https://doi.org/10.1145/3805689.3812393)**Sophia N. Wilson, Sebastian Mair, Mophat Okinyi et al.
177. **[How Probing for Problems and Bias Affects Perceptions of AI Chatbot Trustworthiness ↗](https://doi.org/10.1145/3805689.3806751)**Jan Tolsdorf, Alan F. Luo, Monica Kodwani et al.
178. **[How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study ↗](https://doi.org/10.1145/3805689.3812262)**Sanjana Gautam, Houjiang Liu, Yujin Choi et al.
179. **[How We Are Cursed in Data Disclosure: Privacy Sensemaking in AI Fortune-Telling Among Young Chinese ↗](https://doi.org/10.1145/3805689.3812304)**Silei Zhu, Alex Jiahong Lu
180. **[Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents ↗](https://doi.org/10.1145/3805689.3812402)**Shipi Dhanorkar, Samir Passi, Mihaela Vorvoreanu
181. **[Human, Algorithm, or Both? Gender Bias in Human-Augmented Recruiting ↗](https://doi.org/10.1145/3805689.3806756)**Mesut Kaya, Toine Bogers
182. **[Human-AI Complementarity: A Goal for Amplified Oversight ↗](https://doi.org/10.1145/3805689.3812308)**Rishub Jain, Sophie Bridgers, Lili Janzer et al.
183. **[Humans-in-the-Contestability-Loop: Designing for Social Counselors to Understand and Challenge Algorithmic Decisions ↗](https://doi.org/10.1145/3805689.3812271)**Timothée Schmude, Daniel Pahr, Laura M. Koesten et al.
184. **[Improving Fairness with Ensemble Combination: Margin-Dependent Bounds ↗](https://doi.org/10.1145/3805689.3806539)**Yijun Bian
185. **[In the Shadows of Transparency: Engaging Concealment in AI-Mediated Crisis ↗](https://doi.org/10.1145/3805689.3812383)**Ashlee Mirizio, Elizabeth Kaziunas
186. **[Inductive Risk of AI Hype ↗](https://doi.org/10.1145/3805689.3812360)**Will Fleisher
187. **[Inequalities and Challenges in Representing Ethnicity Data in Wikidata ↗](https://doi.org/10.1145/3805689.3812273)**Michelle Nwachukwu, Martim Brandão, Albert Meroño-Peñuela
188. **[Informing AI Policy Assessment using Large-Scale Simulation of Interventions ↗](https://doi.org/10.1145/3805689.3812334)**Julia Barnett, Kimon Kieslich, Natali Helberger et al.
189. **[Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement ↗](https://doi.org/10.1145/3805689.3812385)**Andrea W Wen-Yi, Waki Kamino, David Mimno et al.
190. **[Internal Deployment Gaps in AI Regulation ↗](https://doi.org/10.1145/3805689.3806806)**Joe Kwon, Stephen Casper
191. **[Into the Unknown: Accounting for Missing Demographic Data when Mitigating Ad Delivery Skew ↗](https://doi.org/10.1145/3805689.3812375)**Isabel Corpus, Allison Koenecke
192. **[Investigating ChatGPT Usage in High Schools: Student Perspectives on Policy and Practice ↗](https://doi.org/10.1145/3805689.3812305)**Jake Chanenson, Tess Eschebach, Marshini Chetty
193. **[Investigating the Role of AI in Emergency Management: Use Cases, Challenges, and Opportunities ↗](https://doi.org/10.1145/3805689.3812279)**Samsara Foubert, Minjung Park, Kanad Pardeshi et al.
194. **[Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act ↗](https://doi.org/10.1145/3805689.3806436)**Lucas Giovanni, Bram Rijsbosch, Kristof Meding et al.
195. **[Judging the Judges: Evaluating Pretrial Release Decisions with A Simple Nonparametric Approach ↗](https://doi.org/10.1145/3805689.3812209)**Julian Morimoto, Amanda Coston
196. **[LLM Evaluation as Sociotechnical Practice: Experiences from a Research-Practice Partnership in Community Health ↗](https://doi.org/10.1145/3805689.3806721)**Roshini Deva, Aradhana Thapa, Zeel Mehta et al.
197. **[Learning Alignment Principles Grounded in Human Reasons and Values ↗](https://doi.org/10.1145/3805689.3806453)**Henry Bell, Lara Neubauer da Costa Schertel, Bochu Ding et al.
198. **[Learning Fairness in Multi-agent Systems with Distributed-Evaluation, Centralized-AIIocation ↗](https://doi.org/10.1145/3805689.3806494)**Ashwin Kumar, William Yeoh
199. **[Legitimate: Resurrecting Biased Ontologies On the Path to Superintelligence ↗](https://doi.org/10.1145/3805689.3806757)**Thema Monroe‐White, K White, Nada Hashmi
200. **[Like It or Not — Recommender Systems Lack a Coherent Normative Foundation ↗](https://doi.org/10.1145/3805689.3806531)**Donal Khosrowi, Lukas Beck

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