🚨 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:
- Regulators are watching - They're 100% using this list to craft new rules
- Investors are asking - Show them you have these controls = faster funding
- Early movers win - Lock in these practices now before they become mandatory