Taming generative AI: Why it must be governed first — and differently
An IAPP piece argues that generative AI requires governance frameworks that are built before deployment, not added afterward, and that those frameworks need to be distinct from how other technologies have been regulated.
Why this matters: Most AI governance conversations start after the product ships. That is too late. Generative AI can produce legal advice, medical guidance, hiring decisions, and persuasive content at scale before anyone has agreed on who is responsible for the damage it causes. Governing it differently means accepting that the old playbook — wait for harm, then regulate — does not fit a tool that moves this fast and touches this much.
Who should care: General readers · AI governance · Policy
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