The laws, rules, and enforcement shaping AI: what passed, who it binds, and what teams have to do about it.
7 stories · Updated
An AI screening tool is a decision-maker the law treats as yours. Here is the order to deploy one in: inventory, audit, notice, retention, location-mapping, and human review, with the failure mode at each step.
A model went from launch to government-ordered shutdown in three days. Everyone measures capability. Governability, whether a model can legally run for your users tomorrow, is the axis that just bit, and few price it.
Washington is arguing over whether to set one national AI standard or strike down the states. For anyone shipping a product, the binding rules already exist, and they live in Brussels and a handful of state capitals.
Training-data law is resolving into a rule: training can be fair use, but how you got the material and whether the output competes with it can turn the same act into liability. Provenance is now the question.
There is no federal AI hiring law, so the rules differ in every state your candidates live in, and they apply where the candidate sits, not where you're headquartered. The tool is one decision; the compliance is fifty.
A bipartisan run of states has passed AI laws since the federal government warned them off, and the fight over who governs AI has moved from a memo to a courtroom. The vacuum did not stop regulation; it scattered it.
AI can catch the risky clauses, missing protections, and odd language in a contract in minutes, but only if you use it as a first-pass reviewer, not a replacement for judgment. Here's the actual workflow.
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