As AI continues to reshape financial services, the challenge is no longer just about what we can build. It is about what we should build.
This panel brings together leaders from across banking and fintech to explore how AI can be adopted ethically, responsibly, and at scale. We will look at how teams are embedding principles like fairness, transparency, and accountability into AI systems that directly impact customers, from credit decisions to fraud prevention and digital experiences.
With growing pressure from regulators, rising customer expectations, and increasing complexity in AI tooling, ethical adoption is no longer a theoretical concern. It is a product, risk, and brand issue.
This session goes beyond hype to share real examples of how banks and building societies are approaching trustworthy AI. We will explore where the risks lie, what good looks like, and how to avoid designing intelligence that undermines customer trust.
Drinks and food will be provided.
Head of AI and Data Science, Atom Bank
Chief Technology Officer, hedgehog lab
Digital and Data Director, Schroders Personal Wealth
Chief Information Officer (SMF24), Somerset Bridge Group
Director of Technology and Data, Leeds Building Society