AI regulation must do more than avoid certain doom
A commentary argues that AI regulation frameworks should aim for broader goals than simply preventing catastrophic outcomes, suggesting the current bar for success is set too low.
Why this matters: Most AI regulation right now is organized around worst-case scenarios. That sounds responsible, but it sets a floor, not a standard. Rules built only to prevent disaster leave a lot of room for harm that is not catastrophic but is still real — discrimination, surveillance, loss of jobs, erosion of privacy. People do not need AI to destroy civilization to have their lives made worse by it. Regulation that only asks 'did we avoid the apocalypse?' is not doing enough.
Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy
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