Regulating AI in Michigan: What is “Best Practice” for Legislation?

An app to compare existing bills to what's working best now

We built this app because “AI legislation” is starting to show up in statehouses as a grab bag of worries—power, water, secrecy, and who gets stuck with the bill. Instead of arguing about vibes, the app turns a policy question into a simple checklist you can actually use: What’s the problem? What’s the trigger? Who’s responsible? What paperwork exists? How is it enforced? In other words, it helps you quickly tell the difference between a law that sounds strong and a law that can be implemented Monday morning.

Five checkboxes for effective legislation

The tool gives you a high-level overview plus a “best-practice” five-pillar check you can run on any proposal:

  1. scope + thresholds
  2. measurable reporting
  3. transparency with sensible confidentiality
  4. enforcement with real consequences
  5. and cost allocation (“who pays?”)

Applied to real Michigan situations

Then it applies that same lens to Michigan’s SB 761 / SB 762 / SB 763—showing where they line up with best practice, where they’re fuzzy (like unclear definitions and hard-to-audit metrics), and where they offer practical, Michigan-realistic fixes you can copy into amendments or testimony.

It’s meant for people who want to read bills fast, ask better questions, and push policy toward outcomes—not headlines.

Tap here for the 12-page report this app was created from.

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