Mapping AI Risk Mitigations
🚨 MIT just dropped a game-changer for anyone building with AI (Full document attached)
They analyzed 831 ways companies are making AI safer and sorted them into 4 buckets:
  • Governance & oversight
  • Technical & security
  • Operations
  • Transparency & accountability
Operations dominates with 36% of all safety measures.
What's everyone actually doing:
  • Testing & audits (127 different approaches)
  • Setting clear data rules + live model monitoring
  • Publishing risk assessments that buyers actually trust
What almost NO ONE is doing (<1% adoption):
  • Model alignment checks
  • Conflict of interest shields
  • Whistleblower systems
  • Energy impact tracking
This is a MASSIVE opportunity gap 👀
Why this matters for our community:
  1. Regulators are watching - They're 100% using this list to craft new rules
  2. Investors are asking - Show them you have these controls = faster funding
  3. Early movers win - Lock in these practices now before they become mandatory
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4 comments
Didac Fernandez
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Mapping AI Risk Mitigations
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