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 |
| 215 | Proxy Fairness under the European Data Protection Regulation and the AI ACT: A Perspective of Sensitivity and Necessity |
| 203 | You Still See Me: How Data Protection Supports the Architecture of AI Surveillance |
| 341 | Legal and Civil Perspectives on Responsible AI Artifacts: Current Limitations and Paths Towards Facilitating Multi-Actor Communication |
Oral Session 2, October 21, 11:45 am – Large Language Model Alignment
| 111 | Learning When Not to Measure: Theorizing Ethical Alignment in LLMs |
| 256 | A Qualitative Study on Cultural Hegemony and the Impacts of AI |
| 455 | PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models |
| 453 | Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios |
Oral Session 3, October 21, 2:15 pm – Excluded Knowledges and Openness
| 150 | What Makes An Expert? Reviewing How ML Researchers Define “Expert” |
| 57 | Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance |
| 39 | Decolonial AI Alignment: Openness, Viśeṣa-Dharma, and Including Excluded Knowledges |
| 66 | The Origin and Opportunities of Developers’ Perceived Code Accountability in Open Source AI Software Development |
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 |
| 492 | Acceptable Use Policies for Foundation Models |
| 227 | An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence |
| 336 | The Societal Implications of Open Generative Models Through the Lens of Fact-Checking Organizations |
Oral Session 5, October 21, 5:00 pm – Responsible AI Tools and Transparency
| 228 | Foundation Model Transparency Reports |
| 447 | Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts |
| 23 | How Do AI Companies “Fine-Tune” Policy? Examining Regulatory Capture in AI Governance |
| 397 | The Ethico-Politics of Design Toolkits: Responsible AI Tools, From Big Tech Guidelines to Feminist Ideation Cards |
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 |
| 359 | Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval |
| 8 | A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems |
| 323 | Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts |
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 |
| 367 | What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users |
| 200 | Beyond Interaction: Investigating the Appropriateness of Human-AI Assistant Relationships |
| 234 | Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse |
Oral Session 8, October 22, 3:45 pm – Algorithms
| 86 | Fairness in Reinforcement Learning: A Survey |
| 496 | Nothing Comes Without Its World – Practical Challenges of Aligning LLMs to Situated Human Values through RLHF |
| 32 | Algorithmic Decision-Making under Agents with Persistent Improvement |
| 487 | AI & The Economics of Persuasion: A Computational Hardness Result |
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 |
| 147 | Red-Teaming for Generative AI: Silver Bullet or Security Theater? |
| 146 | Gaps in the Safety Evaluation of Generative AI |
| 433 | Operationalizing content moderation “accuracy” in the Digital Services Act |
Oral Session 10, October 23, 10:45 am – Biases in Foundation Models II
| 483 | LLM Voting: Human Choices and AI Collective Decision-Making |
| 424 | Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis |
| 426 | Understanding Intrinsic Socioeconomic Biases in Large Language Models |
| 400 | Identifying Implicit Social Biases in Vision-Language Models |