Oral presentations
Fairness for the People, by the People: Minority Collective Action
Omri Ben-Dov, Samira Samadi, Amartya Sanyal, Alexandru Tifrea
Observation-Free Attacks on Online Learning to Rank
Sameep Chattopadhyay, Nikhil Karamchandani, Sharayu Moharir
Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
Lena Libon, Meghana Bhange, Rushabh Solanki, Elliot Creager, Ulrich AΓ―vodji
Challenges to Grassroot Organization Engagement with AI Policy
Jennifer Mickel, Carter Buckner, William Agnew, Yanan Long, Michelle Lin, B.V. Alaka, Angelina Wang, Sarthak Arora, Nandhini Swaminathan, Arjun Subramonian
Altruistic Collective Action in Recommender Systems
Ekaterina Fedorova, Madeline Celi Kitch, Chara Podimata
Papers
Biased AI Improves Human Decision-Making But Reduces Trust
Fairness for the People, by the People: Minority Collective Action
EuroCon: Benchmarking Parliament Deliberation for Political Consensus Finding
CivicParse: A Benchmark and Pipeline for Structured Online Deliberation
Observation-Free Attacks on Online Learning to Rank
The Future of Cyberunions in the Era of AI-Based Automation of Work
From Clicks to Consensus: A Collective Consent Approach to Online Privacy
Empowering Users Together: Connecting Algorithmic Collective Action and Explainable AI
Algorithmic Collective Action with Multiple Collectives
Collaborative Prediction: Tractable Information Aggregation via Agreement
Of Monsters and Cisgenders: Trans Data Poisoning Against Algorithmic Surveillance
From Reflection to Action: AI Workers, Geopolitics, and Algorithmic Collective Action
Alignment via Competition: Emergent Alignment from Differently Misaligned Agents
Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent Coordination
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching
Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
strategic-fl-sim: An Extensible Package for Simulating Strategic Behavior in Federated Learning
Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctions
AI Multilateralism
Polarization Traps: A Formal Model of the Epistemic Structure of Moral Polarization
The Invisible Handshake: Tacit Collusion between Adaptive Market Agents
Measuring the Hidden Cost of Data Valuation through Collective Disclosure
Statistical Inference for Model Responsiveness Audits
Selective Preference Aggregation
Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
Incentivizing Data Collaboration: A Mechanism Design Approach
Challenges to Grassroot Organization Engagement with AI Policy
Emergence of Collective Rationality in Mixed Autonomous Driving Systems
Comparing Collective Behavior of LLM and Human Groups
Irresponsible AI: big tech's influence on AI research and associated impacts
Breaking Algorithmic Collusion in Human-AI Ecosystems
Altruistic Collective Action in Recommender Systems
Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems
To Achieve Truly Generalist Models, We Need to Incentivize Collaboration Through Fair Revenue Sharing
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
A Human Behavioral Baseline for Collective Governance in Software Projects
Strategic Feature Selection
Test-Time Collective Classification over Multi-Agent Networks
Aggregated Individual Reporting for Post-Deployment Evaluation: Mechanism Design & Modeling Considerations
When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms
The Last Vote: A Multi-Stakeholder Framework for Language Model Governance