Somebody in your organization is about to be handed AI governance: the policy, the review process, the awkward questions from legal and the board. Increasingly, that somebody has no formal preparation, because AI ethics education splits into two useless halves: philosophy seminars with no operational content, and compliance checklists with no understanding underneath.
This course is the practical middle: the working knowledge to govern AI use responsibly, design policy that people actually follow, and answer hard questions with substance, grounded in research on how algorithmic systems really behave.
What will you learn?
- The real risk landscape: bias, privacy, hallucination, manipulation, and accountability gaps, with the mechanisms underneath, not just the headlines
- Evidence over anecdote: what research on algorithmic markets and machine behaviour actually shows, including work on manipulation and trust in digital platforms
- Governance that enables: policies, review structures, and guardrails designed to speed responsible adoption rather than smother it
- Policy craft: writing an AI acceptable-use framework, with templates, worked examples, and the failure modes of policies nobody reads
- Oversight in practice: monitoring, escalation, incident response, and honest documentation
- The regulatory horizon: the shape of emerging AI regulation and how to build for where it is going
Who is this course for?
The people getting the governance assignment: compliance, legal, risk, HR, and IT leaders, plus managers in regulated industries and anyone writing their organization's first serious AI policy.
Who is behind it?
The course draws on the research strength of Dr. Ruhai Wu, whose published work includes marketplace trust and review manipulation, the empirical backbone that keeps this course concrete where the genre goes abstract. The live counterpart is the AI Ethics & Responsible Innovation keynote.
How do you enrol?
Via individual subscription or a corporate plan; it counts toward certification and sits in the leadership track of the catalogue alongside AI Strategy for Business Leaders.
Frequently asked questions
Is this course legal advice?
No; it is governance education. It will make your conversations with counsel dramatically more productive, and it says plainly where counsel is required.
Is it relevant outside regulated industries?
Yes; every organization deploying AI needs acceptable-use policy, quality control, and incident thinking. Regulated industries simply need it in writing sooner.
Does it take a pro-AI or anti-AI stance?
Neither; its stance is that good governance is what makes confident adoption possible, and it holds that line with evidence.