AI Accountability

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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. Right to History: A Sovereignty Kernel for Verifiable AI Agent Execution

    Feb 23, 2026Jing ZhangAI Agent AuditingAI Accountability

    Independent Researcher

  2. Agentic AI, Retrieval-Augmented Generation, and the Institutional Turn: Legal Architectures and Financial Governance in the Age of Distributional AGI

    Feb 20, 2026Marcel OsmondAI Agent GovernanceAI Governance

    QMUL CCLS, London, UK.

  3. Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment

    Feb 17, 2026Maria Victoria Carro, David LagnadoCausal AttributionAI Accountability

    Università degli Studi di Genova, IT · FAIR IALAB, University of Buenos Aires, AR · University College London, UK

  4. Using predictive multiplicity to measure individual performance within the AI Act

    Feb 12, 2026Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt +2AI AccountabilityAI Governance

    University of Tübingen and Tübingen AI Center, Germany · Tübingen AI Center, Germany · University of Tübingen and CZS Institute for Artificial Intelligence and Law, Germany +2

  5. Equity Bias: An Ethical Framework for AI Design

    Jan 28, 2026Mary LockwoodAI EthicsResponsible AI

    Independent Researcher, United Kingdom

  6. The Journal of Prompt-Engineered (Moral) Philosophy Or: Why AI-Assisted Ethics Research Requires Process Transparency

    Nov 10, 2025Michele LoiAI AccountabilityHuman Oversight of AI

    University of Milan

  7. Retrofitters, pragmatists and activists: Public interest litigation for accountable automated decision-making

    Nov 5, 2025Henry L Fraser, Zahra StardustAI AccountabilityAlgorithmic Accountability

    Lecturer, Queensland University of Technology, School of Law; Associate Investigator, Centre for Automated Decision-Making and Society · Senior Lecturer, Queensland University of Technology, School of Communication; Associate Investigator, Centre for Automated Decision-Making and Society

  8. Trustworthy AI and Democracy: A Dual Taxonomy and Operational Framework of Democratic Risks and Contributions

    May 19, 2025Oier Mentxaka, Natalia Díaz-Rodríguez, Mark Coeckelbergh +5AI GovernanceResponsible AI

    Dept. of Computer Science and Artificial Intelligence, DaSCI, University of Granada, Spain · Dept. of Philosophy, University of Vienna, Vienna, Austria · School of Engineering, Cornell University, Ithaca, NY, United States +4