Governance · Concept
Agentic AI Governance: Systematic Literature Review
A systematic review synthesizes emerging governance priorities, mechanisms, and stakeholder roles for autonomously planning agentic AI systems.
Agentic AI governance frameworks will need to address autonomous planning and execution capabilities not covered by current AI regulations.
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How this node ties into the rest of the map, and the evidence behind each link.
The systematic review of agentic AI governance addresses the governance challenges arising from AI agents autonomously planning and executing knowledge work tasks.
+3 growthPaper reframes autonomous agent trust as infrastructure reliability under accountability asymmetry.
+3 growthAccountability asymmetry reframes autonomous agent trust as institutional infrastructure reliability rather than model punishment.
+3 growthParticipatory mapping of algorithm registers offers a sociotechnical accountability method for public-sector AI.
+3 growthThe framework reframes agent governance from capability checks to contextual authorization provenance and scope.
+3 growthInstitutional red-teaming methodology provides a concrete evaluation tool for the governance mechanisms identified in the agentic AI governance review.
+2 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
EU AI Act obligations for general-purpose AI models applied from 2 Aug 2025; high-risk obligations under Annex III apply from 2 Aug 2026.
EU AI Act — implementation tracker →The Council of Europe Framework Convention on AI — the first legally binding international AI treaty — opened for signature in Sep 2024; the EU ratified it on 15 May 2026.
Council of Europe →On 26 Aug 2025 the UN General Assembly created an Independent International Scientific Panel on AI (40 experts) and a Global Dialogue on AI Governance.
United Nations →