FAccT 2026: all accepted papers
- Making a Name for Myself : On Academic Naming Policies and their Impact ↗A Pranav, Vagrant Gautam, Martin Mundt et al.
- Mapping Emerging Climate Misinformation Playbooks in the Global South ↗Marcelo Sartori Locatelli, Wenchao Dong, Pedro Loures Alzamora et al.
- Mapping the Stochastic Penal Colony ↗Robert Grimm
- Measuring Epistemic Unfairness for Algorithmic Decision-Making ↗Camilla Quaresmini, Lisa Piccinin, Valentina Breschi
- Mechanism Plausibility in Generative Agent-Based Modeling ↗Patrick Zhao, David Huu Pham, Nicholas Vincent
- MedAIting with the Mediators: Exploring Aligned Agent Interventions to Resolve Challenges in Mediator Workflows ↗J. E. Garcia, Pauline Wee, Azza Abouzied et al.
- Navigating AI at Work: An Ethics-in-Practice Approach ↗Claudine Tinsman, Anjali Krishan, Gina Neff
- Neutrality Bites: Gender Representation in AI-Generated Animal Stories ↗Imani Finkley, Yuanxi Li, Melanie Walsh
- Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-Agent AI ↗Luca Deck, Simeon Allmendinger, Lucas Müller et al.
- Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making ↗MAURICIO VILLAVICENCIO, Sitong Pan, Qianwen Wang
- Online Communities as Collaborative Testbeds for Collective Alignment ↗Matthew Zent, Malik Khadar, Svetlana Yarosh et al.
- Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA ↗Woohyeuk Lee, James Howison, Min Kyung Lee et al.
- Operationalizing Governance for Youth-Facing LLM Well-being Support: A Community-Based Participatory Study ↗Kathleen Guan, Stella Goeschl, Mohammed Amara et al.
- Opting In? Information About AI Training Affects Human Behavior ↗Lauren S. Treiman, Chien-Ju Ho, Wouter Kool
- Options Without Agency: Diversity as a Requirement for Fair Actionable Recourse ↗Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma et al.
- Overcoming Barriers to AI Disclosure: The Role of Granularity and Sociocultural Enablers in Reducing Perceived Stigmas ↗Jessica He, Avinash Akella, Hyo Jin Do et al.
- Platforms' Research API Data Access: What Users See vs. What Researchers can Retrieve ↗Luka Jure Lars Bekavac, Simon Mayer
- Preaching Meaning, Practicing the Motions: A Critical Analysis of XAI Research ↗Ilse van der Linden, S. Ghebreab
- Predicting Juror Predisposition Using Machine Learning: A Comparative Study of Human and Algorithmic Jury Selection ↗Ashwin Narasimha Murthy, Ramesh Krishnamaneni, Sean Chacon et al.
- Principled Differential Privacy Parameter Tuning with Causal Games ↗Sebastian Benthall, Rachel Cummings
- Privacy Without Remedy: An Assessment of Data Broker Compliance with California Privacy Law ↗Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu et al.
- Privilege Scores ↗Ludwig Bothmann, Philip A. Boustani, José M. Álvarez et al.
- Prompt Governance? On Governing Technologies Governed by Natural Language ↗Anna Neumann, Holli Sargeant, Jatinder Singh
- Prompting from the bench: Large-scale pretraining is not sufficient to prepare LLMs for ordinary meaning analysis ↗Abhishek Purushothama, Junghyun Min, Brandon Waldon et al.
- Push and Pushback in Contesting AI: Demands for and Resistance to Accountability ↗Yulu Pi, Lucas Lichner, Jae Woo Lee et al.
- Quality Assessment of Public Summary of Training Content for GPAI models required by AI Act Article 53(1)(d) ↗Dick A. H. Blankvoort, Harshvardhan Jitendra Pandit, Maximilian Gahntz
- Rashomon Sets and Model Multiplicity in Federated Learning ↗Xenia Heilmann, Luca Corbucci, Mattia Cerrato
- Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task ↗Aaron Parisi, Nithum Thain, Alden Hallak et al.
- Recalibrating Artificial Intelligence for Social Biases: Four New Priorities for Datasets, Models, and Metrics ↗Lucy Havens, Melissa Terras, Benjamin Bach et al.
- Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability ↗Janet Vertesi, danah boyd, Alex S. Taylor et al.
- Red teaming with faith leaders: expanding digital safety and accountability to frontiers of care ↗Nina Lutz, Eric Glen Weyl
- Reflect: Transparent Principle-Guided Reasoning for Constitutional Alignment at Scale ↗Henry Bell, Caroline Zhang, Mohammed Mobasserul Haque et al.
- Regulating Artificial Intimacy: From Locks and Blocks to Relational Accountability ↗Henry Fraser, Jessica M. Szczuka, Raffaele Ciriello
- Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures ↗Genevieve Smith, Hiral Patel, Steven Luo et al.
- Reliance-Aware Design of Interactive Explainable User Interfaces ↗José Cezar de Souza Filho, Rafik Belloum, Ingrid Teixeira Monteiro et al.
- Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities ↗Ilana Nguyen, Harini Suresh, Thema Monroe‐White et al.
- Responsible Leapfrogging: Countering the Automation of Inequality in Global Mental Health ↗David DeFranza, Soo Young Bae
- Resume Screening, Fast and Slow: (Biased) AI Recommendations' Influence on Human Decision Making ↗Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva et al.
- Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows ↗Sajel Surati, Rosanna Frances Bellini, Emily Black
- Revisiting Fairness Impossibility with Endogenous Behavior ↗Elizabeth Maggie Penn, John W. Patty
- Risks and Opportunities in Human-Machine Teaming in Operationalizing Machine Learning Target Variables ↗Mengtian Guo, David Gotz, Yue Wang
- RobustDebias: Debiasing Language Models using Distributionally Robust Optimization ↗Deep Gandhi, Katyani Singh, Nidhi Hegde
- Safety Theater in Anthropomorphic AI: Why We Need to Shift from Safety to Accountability Narratives ↗Takuya Maeda, Rebecca Buening
- Shaping History, Responsibly: Seven Principles to Guide the Design of Archival AI Assistants for Cultural Heritage Collections ↗Finola Finn, Donal Khosrowi, Caio Mello et al.
- Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking ↗Greta Warren, Jingyi Sun, Irina Shklovski et al.
- Side-by-side Comparison Amplifies Dialect Bias in Language ModelsKritee Kondapally, Claire J. Smerdon, Pooja C. Patel et al.our summary
- Sounds Queer: Representation of LGBTQIA Identities in AI-generated Songs ↗Sabine Weber, Andrew McLeod
- Strategically Deceptive Model Deployment in Performative Prediction ↗Javier Sanguino, Thomas Kehrenberg, Jose Antonio Lozano et al.
- Taste for Privacy: How Context, Identity, and Lived-Experience Shape Information Sharing Preferences ↗Juniper L. Lovato, Laurent Hébert‐Dufresne, Mohsen Ghasemizade et al.
- Technology Before, During, and After Incarceration: Current Product Landscape, Sociotechnical Concerns, and Legal Considerations in the U.S. Context ↗Yael Eiger, Taylor Hansen, Teanna Barrett et al.
- Terms of (Ab)Use: An Analysis of GenAI Services ↗Harshvardhan Jitendra Pandit, Dick A. H. Blankvoort, Adel Shaaban et al.
- The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers ↗Benjamin Minhao Chen, Xinyu Xie
- The Collapse of Heterogeneity in Silicon Philosophers ↗Yuanming Shi, Andreas Haupt
- The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation ↗Sheza Munir, Benjamin Mah, Krisha Kalsi et al.
- The Context Dependency of Demographic Bias in LLM Annotation ↗Megan A. Brown, Shubham Atreja, Libby Hemphill et al.
- The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok ↗Sara Solarova, Matej Mosnar, Matúš Tibenský et al.
- The Due Process Deficit: Auditing AI Governance in U.S. Higher Education ↗Maria Teleki, Anna Seo Gyeong Choi, Anne Duray et al.
- The FOI Patchwork Method: Assembling Open Freedom of Information Requests for Algorithmic Accountability ↗Morgan E. Currie, Alli Spring, Lena Podoletz
- The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice ↗Emily Black, Miranda Bogen, Logan Koepke et al.
- The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities ↗Aditya Majumdar, Wenbo Zhang, Kashvi Prawal et al.
- The LLM Mirage: Economic Interests and the Subversion of Weaponization Controls ↗Ritwik Gupta, Andrew W. Reddie
- The Labor of Language: Auditing Dialectal Erasure and the Repair Burden in Swahili Machine Translation ↗Zihan Gao, Yinka Ajibola, Jacob Thebault-Spieker
- The Paradox of Prioritization in Public Sector Algorithms ↗Erina Seh-Young Moon, Shion Guha
- The Paradox of ‘Algorithmic’ Accountability and its Implications for Design ↗Divya Ramesh, Shobita Parthasarathy, Nikola Banović
- The Quiet Path from Seemingly Minor Design Errors to Workplace AI Incidents ↗Julia De Miguel Velázquez, Sanja Šćepanović, Andrés Gvirtz et al.
- The Racial Character of Computer Graphics Research ↗Theodore Kim, Alexa Schor, Julian Posada et al.
- To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems ↗Shreya Chappidi, Jatinder Pal Singh
- Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments ↗Evelyn Smith, Emma Harvey, Christopher R. Berry et al.
- Transparency and Digital Governance: How Oversight Bodies Access Information, What Hinders Them, and How They Respond ↗Anna Ida Hudig, Jatinder Pal Singh
- Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI ↗Timothée Schmude, Mireia Yurrita, Kars Alfrink et al.
- Understanding Annotator Safety Policy with Interpretability ↗Alex Oesterling, Donghao Ren, Yannick Assogba et al.
- Understanding the Role of Algorithm Registers in AI Governance Through Comparative Analysis of China and the UK ↗Yulu Pi, Wenlong Li, Jatinder Pal Singh
- Unsteady Metrics and Benchmarking Cultures of AI Model Builders ↗Stefan Baack, Christo Buschek, Matyáš Boháček
- Using predictive multiplicity to measure individual performance within the AI Act ↗Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt et al.
- Validating and Refining Measurements for Generative AI Evaluation Via Stakeholder Engagement ↗Tonya Nguyen, Jean I. Garcia-Gathright, Hannah Washington et al.
- Voices in the Loop: Mapping Participatory AI ↗Rashid Ahmad Mushkani
- What Do People Actually Want From AI? Mapping Preference Plurality ↗Julia Sepúlveda Coelho, Scott A. Hale
- What Influences Readers' and Writers' Perceived Necessity of AI Disclosure? ↗Jingchao Fang, Victoria Xiaohan Wen, Mina Lee
- What if AI systems weren't chatbots? ↗Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam et al.
- When AI Breaks, Teachers Repair: Pedagogical Repair Work in Situated Classroom Practice ↗Yaxuan Yin, Shamya Karumbaiah, Yujin Kim et al.
- When Efficiency Shapes Fairness: Cost-Optimised Human-in-the-Loop Routing ↗Veronica Breene, Adrian O'Hagan, Fintan Costello
- When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration ↗Joshua Holstein, Patrick Hemmer, Gerhard Satzger et al.
- When Vocabulary Comprehension Fails Clinical Reasoning: Evaluating Therapy Bots' Safety Risks for Generation Alpha ↗Manisha Mehta, Virendra Mehta
- When and How AI Should Assist Brainstorming for AI Impact Assessment ↗Jarod Govers, Sanja Šćepanović, Daniele Quercia
- When the Shield Became the Sword: Gendered Revenge Effects on Safety Platforms ↗Tawfique Elahi, Alan Yang
- Who Defines “Best”? Towards Interactive, User-Defined Evaluation of LLM Leaderboards ↗Minji Jung, Minjae Lee, Yejin Kim et al.
- Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values ↗John P. Dickerson, Hadi Hosseini, Samarth Khanna et al.
- Who are the Humans in HCAI? Systematic Review of Demographic Reporting Practices in AI Research with Recommendations for Transparency and Accountability ↗H. P. Lee, Emily Sidnam-Mauch, Sarah Mendoza et al.
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