The AI governance gap: What leaders need to control before regulators ask
The IAPP highlights a growing disconnect between how organizations deploy AI systems and the governance frameworks needed to manage them responsibly, urging leaders to establish internal controls proactively rather than waiting for regulatory mandates to force compliance.
Why this matters: Weak internal AI governance often means unchecked data collection, opaque automated decision-making, and limited individual recourse — risks that accumulate quietly before any regulator intervenes, leaving people's rights exposed in the interim.
Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy
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