I built the AI ethics certification I kept wishing existed. Cohort 1 starts a week from today and I want you in it!

It's called RAP. Responsible AI Professional. Four weeks, four live 90-minute Zoom sessions, plus a few hours of async work a week. It's capstone-based and competency-based: weekly quizzes you have to pass, four artifacts you build and keep, an Ethics Impact Assessment that ties them together. If you've scoped a DPIA, you know the shape of it.

I didn't build it alone. Martin Lopatka built the curriculum and the assessment model. Forensic statistics PhD, master's in AI, shipped and debugged real ML in production at Mozilla.

Sarah Downey teaches the governance and human-factors sessions. Twenty-plus years in nonprofit and social-impact leadership, now advising mission-driven organizations on AI governance. I run the room.

We teach against the real frameworks: UNESCO, OECD, NIST, IEEE. Week 2 is the one your world lives in: bias named precisely (racism, sexism, classism, not the sanitized word that gives companies cover), privacy, consent, and a tool that runs a data practice against GDPR, CCPA, CARE, and OCAP side by side.

The reading list is short and every item is a primary source, not a summary of a summary. Finish the course and you build a custom GPT trained on your own coursework, a practice partner that knows your knowledge base.

Thirty seats. Twenty-two are spoken for. The last eight are the founding cohort: a smaller room, direct access to all three of us. Register at https://lu.ma/ai-ethics. For the member rate, join at bc-ai.ca first, then register with that email.

Questions? Reply straight to this email. It comes to me.

We spent three months developing this because the people who do this work for a living are the ones who should be shaping it!

Technology isn't neutral and neither are we. Come build something with us.

Kris Krüg (KK)
Executive Director
BC + AI Ecosystem

Join the non-profit → bc-ai.ca/membership/
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