Overview

AI accountability studies how people and institutions can answer for AI systems’ decisions, actions, and effects. Approaches include assigning legal and organizational responsibility, documenting data and decisions, auditing models and deployments, and using provenance records, monitoring, and human review to reconstruct what happened. Work increasingly addresses agents and other systems that act across tools and organizations, as well as established settings such as healthcare, government, and research. A central tension is that technical evidence and transparency can make actions easier to trace without ensuring anyone has the authority, responsibility, or means to contest decisions and provide remedies.

Latest papers

CardsList

158 papers10 papers in the last four weeks, down 50% on the four weeks before. 0.1% of all new papers.

  1. Institutions for the Post-Scarcity of Judgment

    Apr 24, 2026Lauri LovénAI AccountabilityAI Governance

  2. Regulating Artificial Intimacy: From Locks and Blocks to Relational Accountability

    Apr 20, 2026Henry Fraser, Jessica M. Szczuka, Raffaele F. CirielloAI AccountabilityAI Agent Governance

  3. The implicated scientist: on the role of AI researchers in the development of weapons systems

    Apr 20, 2026Alexandra Volokhova, Alex Hernandez-GarciaAI AccountabilityResponsible AI

  4. Position: No Retroactive Cure for Infringement during Training

    Apr 20, 2026Satoru Utsunomiya, Masaru Isonuma, Junichiro Mori +1AI AccountabilityAI Governance

  5. Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability

    Apr 17, 2026Janet Vertesi, danah boyd, Alex Taylor +1AI AccountabilityAlgorithmic Accountability

  6. Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy

    Apr 17, 2026Nelly Dux, Cristina Alaimo, Philippe Roussiere +1AI AccountabilityAI Agent Safety

  7. Inspectable AI for Science: A Research Object Approach to Generative AI Governance

    Apr 13, 2026Ruta Binkyte, Sharif Abuaddba, Chamikara Mahawaga +3AI GovernanceAI-Assisted Scientific Research

  8. AI-Induced Human Responsibility (AIHR) in AI-Human teams

    Apr 10, 2026Greg Nyilasy, Brock Bastian, Jennifer Overbeck +1AI AccountabilityHuman-AI Decision Making

  9. Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education

    Apr 8, 2026Hamayoon Behmanush, Freshta Akhtari, Ingmar Weber +1Generative AI in EducationAI Companions

  10. Designing for Accountable Agents: a Viewpoint

    Apr 8, 2026Stephen Cranefield, Nir OrenAI AccountabilityMulti-Agent Systems

  11. Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria

    Apr 7, 2026Uloma Okoro, Tammy Mackenzie, Branislav RadeljicAI GovernanceResponsible AI

  12. Auditable Agents

    Apr 7, 2026Yi Nian, Aojie Yuan, Haiyue Zhang +7AI AccountabilityAI Agent Auditing

  13. The AI Criminal Mastermind

    Mar 26, 2026Joshua KrookAI AccountabilityResponsible AI

  14. Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback

    Mar 24, 2026Teerthaa Parakh, Karen M. FeighHuman-AI Decision MakingCausal Attribution

  15. Unilateral Relationship Revision Power in Human-AI Companion Interaction

    Mar 24, 2026Benjamin LangeHuman-AI InteractionAI Companions

  16. From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises

    Mar 23, 2026Stella Suge, Sarah W. Spencer, Nyalleng Moorosi +3Participatory AIAI Governance

  17. When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Auditing

    Mar 18, 2026Yi Nian, Haosen Cao, Shenzhe Zhu +4Data Provenance in Language ModelsAI Agent Auditing

  18. AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains

    Mar 16, 2026Seine A. ShintaniAI GovernanceHuman Oversight of AI

  19. Distributed Legal Infrastructure for a Trustworthy Agentic Web

    Mar 6, 2026Tomer Jordi Chaffer, Victor Jiawei Zhang, Sante Dino Facchini +6AI AccountabilityAI Agent Governance

  20. Quality Assessment of Public Summary of Training Content for GPAI models required by AI Act Article 53(1)(d)

    Feb 26, 2026Dick A. H. Blankvoort, Harshvardhan J. Pandit, Maximilian GahntzAI GovernanceAI Accountability

  21. How to Count AIs: Individuation and Liability for AI Agents

    Feb 24, 2026Yonathan Arbel, Peter Salib, Simon GoldsteinAI Agent GovernanceAI Accountability

  22. Cooperation After the Algorithm: Designing Human-AI Coexistence Beyond the Illusion of Collaboration

    Feb 23, 2026Tatia CodreanuHuman-AI CollaborationAI Governance