Overview

AI governance examines who sets the rules for AI, how responsibilities are distributed, and how systems can be made accountable across their lifecycles. Approaches include risk-based regulation such as the EU AI Act, standards such as the NIST AI Risk Management Framework, and practical tools including audits, impact assessments, human oversight, incident reporting, runtime monitoring, and governance-as-code. Researchers also study public participation, rights, labor, privacy, and how governance differs across sectors and countries. A central tension is that formal policies and compliance records do not necessarily prove effective control or prevent harm, especially as AI systems become more autonomous and depend on complex supply chains.

Latest papers

CardsList

386 papers28 papers in the last four weeks, down 44% on the four weeks before. 0.2% of all new papers.

  1. CIRCLE: A Framework for Evaluating AI from a Real-World Lens

    Feb 27, 2026Reva Schwartz, Carina Westling, Morgan Briggs +12Human-Centered AIAI Governance

  2. 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

  3. Some Simple Economics of AGI

    Feb 24, 2026Christian Catalini, Xiang Hui, Jane WuHuman Oversight of AIAI and Labor

  4. AI Alignment Breaks at the Edge

    Feb 23, 2026Han Bao, Yue Huang, Xiaoda Wang +5LLM AlignmentAI Safety Evaluation

  5. Photons = Tokens: The Physics of AI and the Economics of Knowledge

    Feb 23, 2026Alec Litowitz, Nick Polson, Vadim SokolovAI Governance

  6. Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development

    Feb 23, 2026Mateen A. Abbasi, Tommi J. Mikkonen, Petri J. Ihantola +3Carbon-Aware ComputingAI Governance

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

    Feb 23, 2026Tatia CodreanuHuman-AI CollaborationAI Governance

  8. Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem

    Feb 22, 2026Yuanyuan Sun, Timothy Parker, Lara Gierschmann +5AI Governance

  9. Stop Saying "AI"

    Feb 18, 2026Nathan G. Wood, Scott Robbins, Eduardo Zegarra Berodt +4AI GovernanceResponsible AI

  10. How to Disclose? Strategic AI Disclosure in Crowdfunding

    Feb 17, 2026Ning Wang, Chen LiangAI Use DisclosureAI Governance

  11. Building the ethical AI framework of the future: from philosophy to practice

    Feb 16, 2026Jasper Kyle CatapangAI GovernanceResponsible AI

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

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

  13. A Marketplace for AI-Generated Adult Content and Deepfakes

    Jan 14, 2026Shalmoli Ghosh, Matthew R. DeVerna, Filippo MenczerAI GovernanceResponsible AI

  14. AI Adoption Across Mission-Driven Organizations

    Oct 4, 2025Dalia Ali, Muneeb Ahmed, Hailan Wang +6AI GovernanceHuman Oversight of AI

  15. Operationalising AI Regulatory Sandboxes: Activities, Requirements, and Technical Assessment under the EU AI Act

    Sep 27, 2025Alessio Buscemi, Thibault Simonetto, Daniele Pagani +3AI AssuranceAI Governance

  16. Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences

    Jun 3, 2025Alina Wernick, Kristof MedingAI Governance

  17. 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

  18. Robustness and Cybersecurity in the EU Artificial Intelligence Act

    Feb 22, 2025Henrik Nolte, Miriam Rateike, Michèle FinckAI GovernanceAI Safety

  19. Why we need an AI-resilient society- Profiling Large Language Models

    Dec 18, 2019Thomas Bartz-Beielstein, Eva BartzAI SafetyAI Governance