
AI Governance
Responsible AI adoption requires more than a policy document. Stellant’s AI governance keynote speakers help boards and leadership teams think through oversight, accountability and the operating structures needed as artificial intelligence moves into consequential decisions. Their expertise spans regulation, bias, explainability, risk management and ethical design. AI ethics keynote speakers can clarify emerging requirements while showing how thoughtful safeguards support - not hinder- innovation. The result is practical guidance for organizations moving from experimentation to enterprise-scale use.

Rana el Kaliouby
Harvard Business School executive fellow
View profile
Jonathan Zittrain
Harvard professor of law, public policy, computer science
View profile
Renee Richardson Gosline
Senior Lecturer, MIT Sloan School of Management
View profile
Tom Davenport
President's Distinguished Professor, Babson College
View profileBooks on AI Governance
Conversations on AI Governance

Can your "digital twin" be trustworthy? | Natalie Monbiot | TEDxCornell
Natalie MonbiotCan your "digital twin" be trustworthy? | Natalie Monbiot | TEDxCornell
Vasant DharWhen Should We Trust Machines? | Vasant Dhar | TEDxHamiltonCollege
Iyad RahwanWhy We Need A New, Algorithmic Social Contract | Iyad Rahwan | TEDxCambridgeSalon
Olaf GrothHuman Values and Power in a World of Artificial Intelligence | Olaf Groth | TEDxHultAshridge
Iyad RahwanIyad Rahwan: "Embodied AI and Ethics: Towards a Responsible Future" #EmbodiedAIForum
Erik BrynjolfssonEconomist: The AI Risk Almost Nobody Is Talking About | Erik Brynjolfsson
Rana el KalioubyWhy the Future of AI Must be Human Centric

Topics on Artificial Intelligence
Explore the rest of the domain below.
AI Governance
Responsible AI adoption requires more than a policy document.
Currently viewingAI Strategy
AI strategy begins with business priorities, not a list of tools.
Explore AI StrategyAutomation
Automation can eliminate repetitive work, but its value depends on choosing the right processes and managing change well.
Explore AutomationGenerative AI
Generative AI is evolving too quickly for leaders to rely on last year’s assumptions.
Explore Generative AI
































