Insider action research in an AI startup identifies three patterns of how practitioners view regulatory requirements and proposes internal expert collaboration as a way to turn external governance rules into shared, practical ownership.
et al.: AI governance: themes, knowledge gaps and future agendas
2 Pith papers cite this work, alongside 207 external citations. Polarity classification is still indexing.
2
Pith papers citing it
207
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.
citing papers explorer
-
Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration
Insider action research in an AI startup identifies three patterns of how practitioners view regulatory requirements and proposes internal expert collaboration as a way to turn external governance rules into shared, practical ownership.
-
Towards Agentic AI Governance: A Preliminary Assessment
A systematic review of 21 peer-reviewed papers identifies two classification approaches for agentic AI governance (autonomous goal-pursuit and moral agency), synthesizes privacy concerns, and evaluates Singapore's Model AI Governance Framework as the first dedicated agentic AI governance model.