When AI Regulation Becomes a Systems Bottleneck
A piece in Communications of the ACM examines how AI regulation, rather than simply governing risk, can itself become a point of friction that slows down the broader systems it is meant to oversee.
Why this matters: Regulation that moves slower than the technology it governs does not just lag — it can create its own problems. Backlogs, unclear rules, and overlapping requirements can paralyze deployment decisions while doing little to protect people. That is worth watching. The goal of AI governance is accountability and safety, not process for its own sake. If compliance machinery becomes the bottleneck, the people who were supposed to be protected end up waiting too, while the risks keep compounding.
Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy
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