Responsible AI for Business Leaders
A premium executive education programme that equips senior leaders to lead AI responsibly, strategically, and defensibly.
Seeking tools and confidence to make and defend AI implementation with a clear ROI.
Requiring tools to advise their clients confidently and without risk of reputational damage.
Interested in insights to meet their ethical and regulatory obligations without getting into the weeds of AI implementation.
Looking for governance tools to embed ethical AI practice, avoiding the threat of regulatory exposure.

The confidence to pass regulatory audits and defend AI decisions to boards, regulators, and stakeholders

The ability to identify and select AI initiatives with potential 3–5× ROI

The capability to challenge vendors, advisors, and internal teams to avoid costly AI failures through pre-deployment risk assessment

Ready practical tools and templates to support your AI journey

Aste is Professor of Complexity Science and Head of the Computational Economics and Finance Section at UCL's Department of Computer Science, where he founded the Financial Computing and Analytics group in 2012. With a background spanning physics, complex systems, and material science across institutions including Imperial College, the Australian National University, and the University of Kent, his research now focuses on data-driven modeling with applications from finance to biology. He is author of Probabilistic Data-Driven Modeling (Cambridge, 2024), founder of the journal Data-Driven Modeling, and co-founder and Scientific Director of the UCL Centre for Blockchain Technologies. Professor Aste advises the Financial Conduct Authority, Bank of England, HMRC, and the All-Party Parliamentary Group on FinTech and RegTech, and coordinates executive training on AI, Blockchain, and RegTech for regulators and financial institutions.
“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”
Eliezer Yudkowsky, Machine Intelligence Institute
Course type: Executive Education
Location: Hybrid [Virtual / UCL Campus]
Dates: 1–4 June 2026
Duration: 5 days
Entry requirements: There are no formal requirements, but applicants typically have:
This programme is designed for senior professionals with responsibility for AI-related decisions. Cohorts are curated to ensure a high-quality peer learning experience.
Delegates will receive four hours of lectures/ seminars each day. There will therefore be a total of 16 hours of classroom teaching over the four days. There will be no assessment but delegates will receive a certificate of completion provided that they attend at least 12 hours (75%) of classes.
Modules:
Participants will be able to:
This course will NOT cover:
Benefits for you:
Benefits for your organisation:
Not ready to commit yet? Join one of our free webinars to hear our experts discuss key topics covered in the course:
Webinar 1: Is AI a bubble or an opportunity?
A grounded exploration of whether today’s AI momentum is justified, with a practical framework for distinguishing genuine business value from hype.
Click here to register
Webinar 2: Should You Build, Buy, or Wait?
A discussion on how organisations can make defensible build, buy, or wait decisions, with practical criteria for assessing capability, cost, risk, and strategic fit.
Click here to register
Webinar 3: Who Owns What When You Use AI?
Unpacking ownership, liability, and intellectual property risks in AI adoption, with practical guidance on contracts, governance, and organisational safeguards.
Click here to register