Kate Ashworth Brash

(she/her)

Kate Ashworth Brash

IBM

Global HR Tech & AI Governance Director

ABOUT THE SPEAKER

Kate Ashworth Brash is a global HR technology and AI governance leader with nearly 20 years’ experience driving transformation across complex organisations. As Global HR Technology & AI Governance Director at IBM, she leads initiatives focused on data privacy, AI ethics, compliance and the responsible deployment of technology. A recognised thought leader in AI governance, Kate has designed and implemented frameworks to ensure transparency, accountability and alignment with human values. Her work spans HR transformation, automation and data strategy, helping organisations leverage technology while maintaining strong governance and regulatory compliance.

Sessions

Tiffany Willcox

Kate Ashworth Brash

Martyn Fagg

Paul Mallaghan

Charlie Symonds

Who’s Accountable? Making AI Ethics Real Inside Organisations

AI ethics is widely discussed, but far less understood when it comes to actually implementing it inside organisations. This session moves beyond principles and into practice. As AI becomes embedded in decision-making, operations and customer experience, questions around accountability, governance and control are becoming harder to answer. Where does responsibility sit when systems influence outcomes? How do organisations move from high-level frameworks to something enforceable? And what does “responsible AI” actually look like when teams are under pressure to move quickly? Drawing on real-world experience inside a global organisation, this session explores how governance is being approached in practice, where it is falling short, and what leaders need to be thinking about now. It also opens up the broader question. As AI becomes part of how organisations operate, are we building systems we can genuinely stand behind?

Tiffany Willcox

Kate Ashworth Brash

Martyn Fagg

Paul Mallaghan

Charlie Symonds

Who’s Accountable? Making AI Ethics Real Inside Organisations

AI ethics is widely discussed, but far less understood when it comes to actually implementing it inside organisations. This session moves beyond principles and into practice. As AI becomes embedded in decision-making, operations and customer experience, questions around accountability, governance and control are becoming harder to answer. Where does responsibility sit when systems influence outcomes? How do organisations move from high-level frameworks to something enforceable? And what does “responsible AI” actually look like when teams are under pressure to move quickly? Drawing on real-world experience inside a global organisation, this session explores how governance is being approached in practice, where it is falling short, and what leaders need to be thinking about now. It also opens up the broader question. As AI becomes part of how organisations operate, are we building systems we can genuinely stand behind?