Works in progress
Submitted papers that present ongoing research relevant to pluralistic AI alignment.
Machine Learning/CORE Unranked
Pluralistic-Alignment 2026
Pluralistic Alignment Workshop at ICML 2026
The Pluralistic Alignment @ ICML 2026 workshop explores how AI systems can be aligned with the diverse, often conflicting, human values found in pluralistic societies. It brings together researchers from AI, philosophy, social science, and policy to develop technical and societal frameworks for multi-stakeholder alignment, emphasizing interdisciplinary collaboration and real-world deployment challenges.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Position papers
Papers that articulate novel viewpoints or frameworks on pluralistic alignment, including ethical, technical, or policy perspectives.
Policy papers
Papers focused on governance, regulation, or societal implications of pluralistic AI systems.
Academic papers
Rigorous scholarly contributions presenting theoretical or empirical research on pluralistic alignment.
Research areas in scope
01
Philosophy
Definitions and frameworks for Pluralistic AlignmentEthical considerations in aligning AI with diverse human values
02
Machine learning
Methods for pluralistic ML training and learning algorithmsMethods for handling annotation disagreementsEvaluation metrics and datasets suitable for pluralistic AI
03
Human-computer interaction
Designing human-AI interaction that reflects diverse user experiences and valuesIntegrating existing surveys on human values into AI designNavigating privacy challenges in pluralistic AI systems
04
Social sciences
Methods for achieving consensus and different forms of aggregationAssessment and measurement of the social impact of pluralistic AIDealing with pluralistic AI representing values that are offensive to some cultural groups
05
Policy studies
Policy and laws for the deployment of pluralistic AIDemocratic processes for incorporating diverse values into AI systems on a broad scale
06
Applications
Case studies in areas such as hate speech mitigation and public health
Policies worth checking twice
- Submissions must be anonymized and between 4 and 8 pages of content, with unlimited references and appendices.
- Submissions must follow the ICML 2026 template and be made through the OpenReview submission portal.
- Reviews will be double-blind with at least three reviewers per paper.
- Checklists are not required for submissions.
- All accepted papers are non-archival.
- All submissions must include at least one author who agrees to serve as a reviewer for the workshop.
- Submissions must adhere to the ICML policy on dual submissions.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026