NeurIPS 2025 Past Other
NeurIPS 2025 Workshop on Algorithmic Collective Action
ACA-NeurIPS2025
- Submission deadline
- Aug 30, 2025, 12:15 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (44)
Fetched from OpenReview (v2) on 2026-06-10.
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$\texttt{strategic-fl-sim}$: An Extensible Package for Simulating Strategic Behavior in Federated Learning
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A Human Behavioral Baseline for Collective Governance in Software Projects
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Aggregated Individual Reporting for Post-Deployment Evaluation: Mechanism Design & Modeling Considerations
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AI Multilateralism
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AI Workers, Geopolitics, and Algorithmic Collective Action
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Algorithmic Collective Action with Multiple Collectives
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Alignment via Competition: Emergent Alignment from Differently Misaligned Agents
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Altruistic Collective Action in Recommender Systems
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Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent Coordination
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Biased AI Improves Human Decision-Making But Reduces Trust
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Breaking Algorithmic Collusion in Human-AI Ecosystems
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Challenges to Grassroot Organization Engagement with AI Policy
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CivicParse: A Benchmark and Pipeline for Structured Online Deliberation
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Collaborative Prediction: Tractable Information Aggregation via Agreement
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Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems
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Comparing Collective Behavior of LLM and Human Groups
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Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
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Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
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Emergence of Collective Rationality in Mixed Autonomous Driving Systems
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Empowering Users Together: Connecting Algorithmic Collective Action and Explainable AI
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EuroCon: Benchmarking Parliament Deliberation for Political Consensus Finding
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Fairness for the People, by the People: Minority Collective Action
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From Clicks to Consensus: A Collective Consent Approach to Online Privacy
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From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching
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Incentivizing Data Collaboration: A Mechanism Design Approach
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Irresponsible AI: big tech's influence on AI research and associated impacts
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LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
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Measuring the Hidden Cost of Data Valuation through Collective Disclosure
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Observation-Free Attacks on Online Learning to Rank
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Of Monsters and Cisgenders: Trans Data Poisoning Against Algorithmic Surveillance
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Polarization Traps: A Formal Model of the Epistemic Structure of Moral Polarization
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Revisiting Rogers' Paradox in the Context of Human-AI Interaction
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Selective Preference Aggregation
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Statistical Inference for Model Responsiveness Audits
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Strategic Feature Selection
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Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups
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Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctions
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Test-Time Collective Classification over Multi-Agent Networks
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The Future of Cyberunions in the Era of AI-Based Automation of Work
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The Invisible Handshake: Tacit Collusion between Adaptive Market Agents
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The Last Vote: A Multi-Stakeholder Framework for Language Model Governance
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To Achieve Truly Generalist Models, We Need to Incentivize Collaboration Through Fair Revenue Sharing
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When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms
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Workers vs. The Algorithm: Simulating Collective Action in Gig-Economy Platforms