Audience
Governance teams, safety leads, policy researchers
Chris Royse field notes
AI Ethics Needs Tradeoffs, Not Slogans
Ethical AI decisions often require choosing which harms to reduce, which risks to accept, and which evidence to require.
Teams / Channel video / 45:48
Core idea
A governance page should not sound like a pledge. It should show the boundaries, conflicts, incentives, and review mechanism.
Governance
Watch on YouTube· 45:48
AI Ethics Needs Tradeoffs, Not Slogans
This is why Teleox needs scope guards everywhere: serious readers trust constraints more than confidence.
Watch videoOpen the full video on YouTubeWhat to take from it
The videos are raw build context. These notes translate them into the shortest useful frame for creators, companies, and AI lab readers.
Name the tradeoff instead of hiding it.
Disclose conflicts and limits close to claims.
A good policy changes behavior under pressure.
Continue this thread.
Related notes stay inside the same problem area first, then move to the next useful context.
Watch + read / 51:17
MCP Is Distribution For AI-Native Software
An MCP server gives AI clients machine-readable tools, schemas, and validation rules without relying on model training data.
Watch + read / 6:29
AI-Proof Education Should Change The Assignment
The 100-holes method reframes AI-era teaching around defense, iteration, oral reasoning, and proof of understanding.
Watch + read / 6:53
AI Can Quietly Break Team Communication
AI can speed up individual output while weakening shared context, review habits, and team-level sensemaking.
Make it concrete.
Send the audience, data type, target task, proof bar, and sharing limits.