Oral Session 1, October 21, 9:15 am – Algorithmic Implications of Regulations
| 120 | How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco Huber and Christian Horz |
| 215 | Proxy Fairness under the European Data Protection Regulation and the AI ACT: A Perspective of Sensitivity and Necessity Ioanna Papageorgiou |
| 203 | You Still See Me: How Data Protection Supports the Architecture of AI Surveillance Rui-Jie Yew, Lucy Qin and Suresh Venkatasubramanian |
| 341 | Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders Anna Kawakami, Daricia Wilkinson and Alexandra Chouldechova |
Oral Session 2, October 21, 11:45 am – Large Language Model Alignment
| 111 | Learning When Not to Measure: Theorizing Ethical Alignment in LLMs William Rathje |
| 256 | A Qualitative Study on Cultural Hegemony and the Impacts of AI Venetia Brown, Retno Larasati, Aisling Third and Tracie Farrell |
| 455 | PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models Ahmed Agiza, Mohamed Mostagir and Sherief Reda |
| 453 | Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios Carolina Camassa and Camilla Bignotti |
Oral Session 3, October 21, 2:15 pm – Excluded Knowledges and Openness
| 150 | What Makes An Expert? Reviewing How ML Researchers Define “Expert” Mark Diaz and Angela Smith |
| 57 | Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance Mohammad Tahaei, Daricia Wilkinson, Alisa Frik, Michael Muller, Ruba Abu-Salma and Lauren Wilcox |
| 39 | Decolonial AI Alignment: Openness, Viśeṣa-Dharma, and Including Excluded Knowledges Kush R. Varshney |
| 66 | The Origin and Opportunities of Developers’ Perceived Code Accountability in Open Source AI Software Development Sebastian Clemens Bartsch, Moritz Lother, Jan-Hendrik Schmidt, Martin Adam and Alexander Benlian |
Oral Session 4, October 21, 3:45 pm – Governance and Implications
| 40 | Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance Franck Michel and Fabien Gandon |
| 492 | Acceptable Use Policies for Foundation Models Kevin Klyman |
| 227 | An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence Daniel Carpenter and Carson Ezell |
| 336 | The Societal Implications of Open Generative Models Through the Lens of Fact-Checking Organizations Robert Wolfe and Tanushree Mitra |
Oral Session 5, October 21, 5:00 pm – Responsible AI Tools and Transparency
| 228 | Foundation Model Transparency Reports Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan and Percy Liang |
| 447 | Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts Edyta Bogucka, Marios Constantinides, Sanja Scepanovic and Daniele Quercia |
| 23 | How Do AI Companies “Fine-Tune” Policy? Examining Regulatory Capture in AI Governance Kevin Wei, Carson Ezell, Nick Gabrieli and Chinmay Deshpande |
| 397 | The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards Tomasz Hollanek |
Oral Session 6, October 22, 11:45 am – Biases in Foundation Models I
| 317 | Examining the Behavior of LLM Architectures Within the Framework of Standardized National Exams in Brazil Marcelo Sartori Locatelli, Matheus Prado Miranda, Igor Joaquim Costa, Matheus Torres Prates, Victor Thome, Mateus Zaparoli, Tomas Lacerda, Adriana Pagano, Eduardo Rios Neto, Wagner Meira Jr. and Virgilio Almeida |
| 359 | Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval Kyra Wilson and Aylin Caliskan |
| 8 | A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han, Andrew Miller, S. Craig Watkins, Christopher Winship, Fotini Christia and Devavrat Shah |
| 323 | Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts Andrea W Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno and Allison Koenecke |
Oral Session 7, October 22, 2:15 pm – Human-AI Relationships
| 79 | Perception of experience influences altruism and perception of agency influences trust in human-machine interactions Mayada Oudah, Kinga Makovi, Kurt Gray, Balaraju Battu and Talal Rahwan |
| 367 | What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users Jana Schaich Borg and Hannah Read |
| 200 | Beyond Interaction: Investigating the Appropriateness of Human-AI Assistant Relationships Arianna Manzini, Geoff Keeling, Lize Alberts, Shannon Vallor, Meredith Ringel Morris and Iason Gabriel |
| 234 | Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse Borhane Blili-Hamelin, Leif Hancox-Li and Andrew Smart |
Oral Session 8, October 22, 3:45 pm – Algorithms
| 86 | Fairness in Reinforcement Learning: A Survey Anka Reuel and Devin Ma |
| 496 | Nothing Comes Without Its World – Practical Challenges of Aligning LLMs to Situated Human Values through RLHF Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon and Jie Yang |
| 32 | Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie, Xuwei Tan and Xueru Zhang |
| 487 | When and Why is Persuasion Hard? A Computational Complexity Result Zach Wojtowicz |
Oral Session 9, October 22, 5:00 pm – Evaluating Risks and Harms
| 418 | ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies Viviane Herdel, Sanja Šćepanović, Edyta Bogucka and Daniele Quercia |
| 147 | Red-Teaming for Generative AI: Silver Bullet or Security Theater? Michael Feffer, Anusha Sinha, Wesley Deng, Zachary Lipton and Hoda Heidari |
| 146 | Gaps in the Safety Evaluation of Generative AI Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Ramona Comanescu, Canfer Akbulut, Tom Stepleton, Juan Mateos-Garcia, Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, William Isaac and Laura Weidinger |
| 433 | Operationalizing content moderation “accuracy” in the Digital Services Act Johnny Wei, Frederike Zufall and Robin Jia |
Oral Session 10, October 23, 10:45 am – Biases in Foundation Models II
| 483 | LLM Voting: Human Choices and AI Collective Decision-Making Joshua C. Yang, Damian Dalisan, Marcin Korecki, Carina I. Hausladen and Dirk Helbing |
| 424 | Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos and Ziwei Zhu |
| 426 | Understanding Intrinsic Socioeconomic Biases in Large Language Models Mina Arzaghi, Florian Carichon and Golnoosh Farnadi |
| 400 | Identifying Implicit Social Biases in Vision-Language Models Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen and Marzyeh Ghassemi |