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All sessions recorded. No technical background required.
Everything you need to decide, in one page.
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AI is not just a technical tool. It is a combination of complex practices, systems, and human decisions embedded in institutional contexts. Governance is not about governing the AI. It is about governing the human practices, decisions, and organizational arrangements through which AI is adopted and made consequential.
Most governance resources are either too technical (written for engineers) or too abstract (ethics principles without operational guidance). This course is for the leader in the middle: you need to commission governance, lead it, and hold your organization to account. View the course outline
No technical background required. The course assumes professional seniority and organizational context, not AI expertise.
CEOs, CDOs, CAIOs, CTOs, CFOs who need governance literacy to lead responsibly.
HR, legal, compliance, risk, operations, and technology leaders building governance infrastructure.
Senior managers responsible for governance decisions across the organization.
Working with clients on responsible AI implementation. Leave with a proven framework and an HDSI certificate.
Before the first live session, Paski learns your context: your role, sector, and governance challenges. It personalizes readings, tutorials, and exercises to your organizational reality throughout the course.
Not an assessment. A real, usable document. Each module builds a section. You leave with a Playbook that maps your AI landscape, establishes a governance charter, and sets out a 90-day action plan for your board.
Five live sessions deliver core frameworks and debate, with all sessions recorded and available on demand. AI-guided tutorials and 1:1 builder work between sessions, on your schedule.
Developed by Prof. Stephanie Dick. Five phases that take you from diagnosis to execution.
Map your organizational reality. What AI systems exist? Where are the governance gaps?
Surface the trade-offs. Where do fairness, bias, and accountability pressures arise?
Design the governance model. Principles, roles, decision rights, policies, councils.
Make governance defensible. Documentation, assurance, and auditability mechanisms.
Lead change. 90-day plan, communications, quick wins, review cadence.
Each module builds a section. Your AI tutor personalizes every exercise to your organization. On Day 18, you present the finished Playbook to the cohort.
View the course outline for the full Playbook structure.
Historian of AI at Simon Fraser University. Co-editor of "Mining the Past" at Harvard Data Science Review. Former Junior Fellow, Harvard Society of Fellows. Developer of S.T.E.E.R.
Director of Ethics and Responsible Innovation Research at The Alan Turing Institute. Author of the UK Government's official guidance on responsible AI. HDSR editorial board member. Led the Council of Europe's AI Convention impact assessment.
Co-Founder, DAIN Studios. PhD in Mathematics. Professor of Practice at University of Jyvaskyla. Listed among 100 Brilliant Women in AI Ethics 2021.
AI isn't just changing tools, it's changing how decisions get made. For leaders, that creates an obligation to rethink how judgment, accountability, and human impact show up in our systems.
This course sharpened my perspective on what it truly takes to drive AI transformation. It expanded my thinking to the larger opportunity: re-architecting work so humans and agents collaborate intentionally, with governance, evaluation, and trust embedded from the outset.
Having taken a number of university-affiliated courses in the past, I have to say this was by far the best. The instructors are knowledgeable and great at presenting, and the integration of AI into the experience is nothing short of transformative.
See the full curriculum, session schedule, and S.T.E.E.R. framework detail. Reserve your place in the June cohort.
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HDSI