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