How to Know When Personalization Becomes Creepy (AI Summit LDN)

How to Know When Personalization Becomes Creepy (AI Summit LDN)

Author: Brave Software July 22, 2026 Duration: 22:00

Dr. Mohsen Ghasempour, Chief AI Officer at Kingfisher, unpacks why the most dangerous thing a company can do with customer data is use all of it. He explains how a global, multi-brand retailer can draw the line between personalization that feels helpful and personalization that feels like surveillance. He also discusses why AI success is ultimately an execution problem rather than a technology problem.

Key Takeaways: 

  • What the "comfort test" is and how Kingfisher uses it to decide whether a personalization decision has gone too far

  • How global retailers are resolving the tension between centralized AI infrastructure and brand-level autonomy

  • Why legal and compliance teams are now embedded in AI development from the start

  • What it will look like when AI stops being a distraction and starts being invisible infrastructure

Guest Bio:

Dr. Mohsen Ghasempour is a distinguished expert in the field of artificial intelligence (AI) with a solid academic foundation, holding a PhD in Computer Science. Currently, Mohsen serves as the Chief AI Officer at Kingfisher, where his leadership contributes to the advancement of artificial intelligence and machine learning technologies within the organisation. With over 15 years of experience as an accomplished data scientist and visionary leader, Mohsen has consistently harnessed the power of data to drive strategic decision-making. Prior to his role at Kingfisher, he held pivotal positions in leading technology and retail organisations, including The Hut Group (THG) and Shop Direct. In these roles, he spearheaded cross-functional teams to implement cutting-edge Machine Learning and AI solutions, resulting in measurable and transformative outcomes.

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About this Show:

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Hosted by Brave Software, The Brave Technologist is a series for anyone curious about the real human impact of our digital evolution. It moves past the surface-level buzzwords to ask how technologies like AI, machine learning, and Web3 actually affect everyday decisions, privacy, and the fabric of society. The conversations here are grounded and thoughtful, prioritizing the user's perspective in a landscape often dominated by abstract visions of disruption. You'll hear from builders, thinkers, and technologists who are shaping these tools, discussing not just what is possible, but what is responsible and meaningful. This podcast sits at the intersection of technology, business, and marketing, examining how these forces converge to shape our collective future. It’s for listeners who want to understand the "why" and "for whom" behind the code, offering a nuanced take that is often missing from tech commentary. Tune in for a deeper, more inclusive dialogue about the systems that are redesigning our world.
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