A New Imperative for AI Governance and Ethics: Winning the AI Race Without Losing Control
A live, 90-minute workshop with a member of the MIT Sloan faculty on the AI governance gap every leader needs to close, before it closes on them.
Course Information
Certificate Track
About this Course
Join MIT’s Jeffrey Saviano, senior lecturer in AI strategy, governance, and ethics, for an interactive, live online workshop examining why responsible AI governance has become the defining leadership issue of the AI era, how to evaluate your own organization's AI risk and governance protocols, and what to do about it. The workshop will run on Thursday, October 22 from 12:00pm - 1:30pm ET.
In 90 minutes, you'll learn to spot the governance gaps already creating risk inside organizations like yours, illustrated through cautionary tales from real companies that have experienced an AI incident. You'll walk away with a new governance framework to assess your organization’s readiness, advocate for change, and take a meaningful next step.
This is a standalone, live-taught workshop by the instructor who built the framework, with peer breakouts and an open Q&A with Saviano. The workshop recording and materials will be made available to all registered learners.
A second session of the workshop will be offered on MIT xPRO on Tuesday, December 1 from 12:00pm - 1:30pm ET.
What you'll learn
By the end of the workshop, you'll be able to:
- Explain why the governance frameworks most organizations rely on today are insufficient for generative and agentic AI systems.
- Identify the specific gaps between how your organization oversees AI now and what today’s AI systems demand.
- Spot emerging governance pitfalls before they become liabilities, and build the case for change internally.
- Establish a concrete starting point for assessing your organization's governance readiness and advocating for next steps.
- Analyze the instructor’s new Boundaries of Tolerance framework and discover key actions to apply this model to your organization
How you'll learn
Real-World LearningLearn from MIT faculty and experts who ground their teaching in real-world cases rather than mathematical models, making the material approachable for all.
Learn From OthersConnect with an international community of professionals working on real-world projects.
Prerequisites
Designed for professionals accountable for AI outcomes, not those building the underlying models. No technical background required.
Ideal attendees include senior managers leading AI strategy, vendor relationships, or AI-enabled business units; C-suite executives including general counsel, chief compliance officers, chief risk officers, chief people officers; and board directors.
Meet your instructors
Jeffrey Saviano
Senior Lecturer, AI Strategy, Governance, and Ethics, MIT Sloan
Jeffrey Saviano holds a dual appointment at MIT, where he is a member of the MIT Sloan School of Management faculty and serves at MIT Open Learning, designing and leading AI-focused executive education workshops and briefings. His research and teaching focus on AI strategy, governance, and ethics. He previously led a research team focused on AI governance and ethics at Harvard University's Edmond & Lily Safra Center for Ethics. After more than three decades at EY, where he most recently served as Emerging Technology Strategy and Governance Leader, advising corporate boards and senior executives on AI strategy and governance, Saviano retired from the firm. Saviano is the creator of the Boundaries of Tolerance Model and forthcoming book and has delivered presentations at the Vatican, the World Economic Forum, the United Nations, and the U.S. Treasury.
FAQs
This workshop is designed for professionals with some level of AI oversight in their organizations – whether individually or leading a team. It is not a technical workshop for people building the underlying AI models.
It’s especially well suited to senior managers leading AI strategy, vendor relationships or AI-enabled business units; C-suite executives such as chief compliance officers, chief risk officers, chief people officers, general counsel and board directors.
There are no prerequisites for this workshop. No technical background is required, and the material is approachable for all backgrounds.
By the end of the workshop, you will be well-positioned to lead conversations on AI risk and governance, make a credible case for change with colleagues and leadership, and take a meaningful next step toward stronger oversight at your organization.
Tactically, you will be able to:
- Explain why the governance frameworks most organizations rely on today are insufficient for generative and agentic AI systems
- Identify the gaps between how your organization oversees AI now vs. what today's AI systems demand
- Spot emerging governance pitfalls before they become liabilities, and build the case for change internally.
- Establish a concrete starting point for assessing your organization’s governance readiness and advocating for next steps.
- Apply Jeff Saviano’s Boundaries of Tolerance framework to your organization.
This is a standalone, live online workshop taught by Jeffrey Saviano, MIT Sloan senior lecturer in AI strategy, governance and ethics. There are two sessions: one on Thursday, October 22, 2026 from 12-1:30pm ET (90 minutes) and one on Tuesday, December 1st, 2026 from 12-1:30pm ET (90 minutes).
The session will cover cautionary tales from real companies that have experienced AI incidents, peer breakouts, and an open Q&A with Saviano. The recording and materials will be available to all registered learners, so there is no additional time commitment beyond the live session unless you choose to review the materials afterward.
Following the workshop, you will receive a certificate of participation.
No, there are no assignments or exams. You will receive the presentation recording and slides, including the Boundaries of Tolerance framework visual.
