The coming AI governance challenge: controlling what agents do and say
As AI agents grow capable of taking autonomous actions and generating responses on behalf of users and organizations, governance frameworks for controlling their behavior remain underdeveloped, raising questions about accountability and oversight across deployment contexts.
Why this matters: Autonomous agents acting without meaningful human review can make consequential decisions affecting individuals with little transparency or recourse — compounding existing concerns about algorithmic accountability and the erosion of meaningful consent in automated systems.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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