What AI governance demands of the teams putting it into practice
A piece from the IAPP examines what it actually takes for teams to implement AI governance in practice, moving beyond policy frameworks to the operational work required of the people responsible for carrying it out.
Why this matters: AI governance sounds like a leadership problem until someone has to actually do it. Then it lands on a small team, often without clear authority, dedicated budget, or a playbook. The gap between what a policy says and what a practitioner can enforce is where things quietly go wrong. If organizations want governance to mean something, they need to give the people doing it real tools and real standing, not just a job title.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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