London Summit Frames AI as an ‘Infrastructure of Trust’

More than 350 leaders, researchers and builders attended the second Game Changer London conference at the Royal Institution of Great Britain to examine how artificial intelligence shapes decisions across sectors. Dr. Vanja Ljevar opened the event with the line: “It’s a Matter of Trust.”

Panels treated AI as an operating environment rather than a future prospect and explored where algorithms now sit in economic, social and commercial systems. Sessions addressed the implications for organisations, consumers and regulators when AI mediates choices and influences behavior.

In a session on impact investing, Joseph Tenzin Oliver and Samir Beg Ceric, moderated by Shirley Choo, explored how investment returns should be assessed when AI systems optimize for social outcomes and financial performance. A retail panel organized with Recommend featured Laura Belchier, Ivan Andabak and Ekaterina Doubinina, moderated by Dr. James Goulding, and examined the narrowing line between personalization and behavioral steering as algorithms personalize offers and experiences at scale.

The Future of Media panel, with Patrick Fagan, Lea Karam and Meropi Kylika under Dr. Terri Holloway’s moderation, discussed how AI-driven distribution can change emotional responses and attention patterns across audiences. In a session produced with SmartCat.io, James Pearce, Michal Karnibad, Alexander May and Filip Baturan argued that cultural and structural barriers often make large-scale AI transformation harder than organisations expect.

A panel on luxury, held with Latenta® and moderated by Mike Popescu, included Elaine Reffell, Jennifer Slater and Sarah Angold and examined how algorithmic influence affects desire, identity and perceptions of value in premium markets. The closing discussion on building in the age of AI, moderated by Dr. Terri Holloway and featuring Jenny Zhou, Jo Living, Josh Robson and Vaida S., centered on startup strategy, emphasizing real-time behavioral insight and product design that account for algorithmic interaction over speed alone.

Organizers and speakers raised questions about oversight and responsibility, asking who will set standards for algorithmic decision-making and how transparency, measurement and redress will be built into systems that rely on proprietary models and opaque data processes. The conference identified gaps between technical capability and the institutions responsible for managing social impact.

Participants left with a set of open issues to address, including defining rules of trust for algorithmic systems, assessing organisational readiness for AI-driven change, and deciding which bodies will oversee systems that interpret information on behalf of people and organisations.