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Why federal AI governance must be built for continuous change
['Egon Rinderer', 'Written Egon Rinderer', 'Laura Crabtree', 'Abigail Haddad', 'K. Sophie Will', 'Madison Alder', 'Lindsey Wilkinson', 'Matt Bracken']
FedScoop
For federal agencies, AI is becoming part of everyday operations, from customer service and cybersecurity to software development, IT, and data analysis.
In March 2024, the Office of Management and Budget directed agencies to establish AI governance structures, inventories, and safeguards for higher-risk applications.
Governance as a guardrailAdvertisementEffective AI governance provides a consistent framework for evaluating, deploying, monitoring, and reassessing AI throughout its lifecycle.
Strong AI governance rests on four capabilities: repeatable decision frameworks, enterprise visibility, continuous reassessment, and operational flexibility.
Ultimately, AI governance should not be measured by the number of policies agencies publish or committees they establish.