AI ethics · AI governance

Practical AI ethics and governance.

Clear, no-hype guidance for leaders building and using AI responsibly — from first principles to real-world compliance.

6Practical guides
3Frameworks tracked
0Vendor pitches
governance-readiness.md
  • Know what you run. An inventory of every AI system in use — including the ones nobody approved.
  • Name an owner. One person accountable for AI risk, not a committee that meets quarterly.
  • Write the risks down. A one-page register beats a perfect framework that never ships.
  • Set the rules. What is allowed, what needs approval, what is off-limits — in plain language.
  • Review it monthly. The value is in the habit, not the tool.

The distinction that matters
Ethics is the what — the principles. Governance is the how — the policies, processes and controls that make those principles real. Ethics without governance is aspiration; governance without ethics is bureaucracy.
How we write

Three rules we do not break.

No hype

No breathless futurism, no doom, no vendor talking points. If a claim cannot be acted on, it does not make the page.

Practitioner-first

Written for the person who has to answer the board, brief the regulator, or say no to a team that already bought the tool.

Plain English

Jargon gets defined or deleted. If a page needs a glossary, we wrote it badly — so we wrote the glossary too, just in case.