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| 2025 | Principles and Policy Recommendations for Comprehensive Genetic Data Governance. | Vivek Ramanan, Ria Vinod, Cole Williams, Sohini Ramachandran, Suresh Venkatasubramanian |
| 2025 | You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks. | Edward Raff, Michel Benaroch, Andrew L. Farris |
| 2025 | Same Stereotypes, Different Term? Understanding the "Global South" in AI Ethics. | Evani Radiya-Dixit, Angle Christin |
| 2025 | The Case for "Thick Evaluations" of Cultural Representation in AI. | Rida Qadri, Mark Daz, Ding Wang, Michael Madaio |
| 2025 | Against AI Jurisprudence: Large Language Models and the False Promises of Empirical Judging. | Dasha Pruss, Jessie Allen |
| 2025 | Machine Legibility and Epistemic Governance in Malaysia's Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State Power. | Hesam Nourooz Pour |
| 2025 | Street-Level AI: Are Large Language Models Ready for Real-World Judgments? | Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler, Sanmay Das |
| 2025 | Beyond Automation: Understanding Fairness, Ethics, and Human Discretion in AI-driven Societal Decisions. | Gaurab Pokharel |
| 2025 | Interactive AI and Human Behavior: Challenges and Pathways for AI Governance. | Yulu Pi, Cagatay Turkay, Daniel James Bogiatzis-Gibbons |
| 2025 | Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews. | Oriane Pierrs, Alireza Darvishy, Markus Christen |
| 2025 | Disability Across Cultures: A Human-Centered Audit of Ableism in Western and Indic LLMs. | Mahika Phutane, Aditya Vashistha |
| 2025 | Decentralising LLM Alignment: A Case for Context, Pluralism, and Participation. | Oriane Peter, Kate Devlin |
| 2025 | Predictability in Autonomous Driving Systems. | Flix Mart Prez |
| 2025 | Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment. | Alejandro Pea, Julian Fierrez, Aythami Morales, Gonzalo Mancera, Miguel Lopez-Duran, Ruben Tolosana |
| 2025 | "One of Silicon Valley's Most Divisive Topics": How the Media Discusses Openness in AI. | Tamara Paris, Jin L. C. Guo, AJung Moon |
| 2025 | The Stories We Govern By: AI, Risk, and the Power of Imaginaries. | Ninell Oldenburg, Gleb Papyshev |
| 2025 | PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Research. | Nick Oh, Giorgos D. Vrakas, Sin J. M. Brooke, Sasha Morinire, Toju Duke |
| 2025 | Rethinking Optimization: A Systems-Based Approach to Social Externalities. | Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum |
| 2025 | Human Models for Planning Behavioral Interventions with Reinforcement Learning. | Eura Nofshin |
| 2025 | Into the Void: Understanding Online Health Information in Low-Web Data Languages. | Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde, Stevie Chancellor, Daricia Wilkinson |
| 2025 | What Are Chatbots' Stereotypes About? A Data-Driven Analysis of Large Language Models' Content Associations with Social Categories. | Gandalf Nicolas, Aylin Caliskan |
| 2025 | Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics. | Tin Trung Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daum III, Zubin Jelveh |
| 2025 | Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context. | An Thi Nguyen, Radina Stoykova, Eric Arazo |
| 2025 | When Less Regulation Means More Complexity: The EU AI Liability Directive Withdrawal and Its Impact on European Technological Competitiveness. | Luca Nannini |