What question did this study set out to answer?

The aim is to redefine AI governance as a comprehensive lifecycle control system that prioritizes ongoing oversight.

April 10, 2026Open Access

Adaptive AI Governance as a Lifecycle Control System: From Static Compliance to Continuous Oversight

Key Points

The aim is to redefine AI governance as a comprehensive lifecycle control system that prioritizes ongoing oversight.
Presents an integrated framework for AI governance.
Describes processes from data sourcing to deployment.
Incorporates continuous monitoring and feedback mechanisms.
Highlights the shift from static compliance to continuous oversight.
Emphasizes the importance of enforceable constraints for accountability.
Supports the establishment of trustworthy AI operations.

Abstract

This policy brief presents AI governance as a lifecycle control system rather than static compliance. It outlines an integrated, standards-aligned framework that governs AI from data sourcing through deployment using continuous monitoring, feedback loops, and enforceable constraints to ensure accountability, resilience, and trustworthy AI operations.

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Authors

Dale Rutherford

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University of Arkansas at Little Rock

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Adaptive AI Governance as a Lifecycle Control System: From Static Compliance to Continuous Oversight

Key Points

Abstract

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Authors

Actions

Institutions

References and Citations

Citation Network

Connected Papers

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