Score an AI company with a public safety index
The Future of Life Institute’s AI Safety Index grades leading companies on public evidence. Apply its indicators to a company it does not cover, or re-score one with newer evidence.
Butlin and Lappas set out principles for research objectives, procedures, knowledge sharing and public communication. Score three AI developers’ published policies against them, with Suleyman’s essay as a deliberately contrasting position.
AI welfare is becoming a corporate policy question. Scorecards show where principles are being met and where they’re so vague that any policy could claim to meet them.
Output: A scorecard and short essay.
Write your question in one sentence.
Spend 30 minutes finding what has already been written about it.
Collect evidence in a simple table: claim, source, how strong.
Draft 1–2 pages: answer first, then reasons, then uncertainties.
Ask one person to poke holes in it, revise, and share.
All steps done
Share what you made, then try another project. The PDF version has room for notes.
The Future of Life Institute’s AI Safety Index grades leading companies on public evidence. Apply its indicators to a company it does not cover, or re-score one with newer evidence.
Long suggests robust agency might matter morally even without consciousness. Dennett gives a deflationary account of beliefs and desires. Combine them: if Dennett is right, does Long’s agency route make moral status too easy to get?
Ask several models the same questions about their inner states while varying wording, persona, system prompt and language. Measure how much the answers change.