Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy
The article discusses the transition of agentic AI systems from experimental prototypes to enterprise deployments. It highlights the challenges organizations face in balancing scalable autonomy with accountability and safety. The authors present lessons on effective governance in the operationalization and scaling of these AI systems.
- ▪Agentic AI systems can pursue goals through multi-step planning with limited supervision.
- ▪Organizations must ensure accountability and safety while implementing scalable autonomy.
- ▪The paper distills seven lessons for building effective governance into agentic AI.
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Computer Science > Computers and Society arXiv:2605.20210 (cs) [Submitted on 17 Apr 2026] Title:Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy Authors:Nelly Dux, Cristina Alaimo, Philippe Roussiere, Abhishek Kumar Mishra View a PDF of the paper titled Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy, by Nelly Dux and 3 other authors View PDF HTML (experimental) Abstract:Agentic AI systems - systems that can pursue goals through multi-step planning and tool-mediated action with limited direct supervision - are moving from experimental prototypes to enterprise deployments.
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