Jules Hoffmann
2011 Nobel Laureate in Physiology or Medicine | Discoverer of the Toll Immune Pathway | Professor, University of Strasbourg | Former President, French Academy of Sciences
Head of Responsible AI & AI Strategy, NatWest Group. Expert in Generative AI Governance & Enterprise AI Deployment. C-Suite Advisor
Paul Dongha is one of the UK’s foremost experts on responsible AI & enterprise AI strategy. As Head of Responsible AI at NatWest, he helps large organizations deploy AI safely, transparently, and at scale. Through his talks, companies learn how to move from pilot projects to real-world value—while staying on the right side of regulation and reputation & how to unlock the power of AI without compromising trust, compliance, or long-term impact.
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AI Speaker Paul Dongha is one of the UK’s leading voices in responsible AI strategy. With a PhD in Artificial Intelligence and degrees in Computer Science (MSc and BSc), he combines deep technical expertise with a sharp understanding of corporate strategy and risk.
He currently serves as Head of Responsible AI & AI Strategy at NatWest Group, where he leads group-wide efforts to implement AI in a safe, transparent, and auditable way. His work focuses on aligning innovation with regulatory frameworks such as the EU AI Act and ensuring AI solutions deliver real value without compromising trust.
Prior to this, speaker Paul Dongha was Group Head of Data & AI Ethics at Lloyds Banking Group, where he co-chaired the ethics board and designed governance frameworks to guide AI development across the enterprise. Earlier roles included senior technology leadership positions across the banking sector, overseeing major programmes with budgets of up to £25M.
Paul began his career as a researcher and university lecturer in AI in the early 1990s. That foundation still shapes his work today: rigorous, evidence-driven, and deeply informed by the technical realities of deploying advanced systems at scale.
He has contributed to UK government policy on AI and regularly advises regulators and multinational companies on how to operationalise AI governance. His approach is practical and impact-focused — building end-to-end frameworks that address not just technology, but also the organisational and human factors that make or break AI success.
AI should be a business strategy, not just a tech initiative. Paul shows executive teams how to develop an AI strategy that reinforces—not competes with—their core business objectives. Drawing on his experience leading AI transformation in complex, regulated environments, he unpacks how to prioritise use cases, set realistic timelines, and secure long-term C-suite buy-in.
AI and the New Customer Experience: Designing for Relevance and Personalisation
AI allows companies to move from segmentation to true individualisation—but only if implemented well. This keynote explores how leading organisations are using AI to deliver customer experiences that are not just smarter, but meaningfully more relevant. Paul discusses the technology, data, and ethical safeguards needed to get it right.
AI allows companies to move from segmentation to true individualisation—but only if implemented well. This keynote explores how leading organisations are using AI to deliver customer experiences that are not just smarter, but meaningfully more relevant. Paul discusses the technology, data, and ethical safeguards needed to get it right.
Becoming an AI-powered company isn’t about hiring more data scientists—it’s about changing how your organisation thinks, builds, and scales. Paul lays out what it takes to embed AI capabilities across teams, processes, and decision-making. He shares lessons on governance, infrastructure, and culture that can help leadership teams create real and lasting transformation.
What does it really mean to “do AI ethically”? In this session, Paul moves past the buzzwords to deliver concrete insights on how responsible AI is built, maintained, and scaled inside global organisations. He explains the risks that often go unaddressed, the trade-offs decision-makers face, and the practical guardrails that must be in place to protect users, companies, and society at large.
The regulatory landscape around AI is changing fast—and compliance will be a moving target. Paul offers an executive-level briefing on the global trends shaping AI regulation, including the EU AI Act, UK guidance, and US developments. He breaks down what these shifts mean for businesses and how to future-proof AI programs for agility and compliance.
AGI may still be on the horizon, but its implications are already shaping today’s decisions. In this provocative session, Paul explains what AGI is, where it differs from current AI systems, and how organisations can begin preparing—ethically, strategically, and operationally—for the disruption it may bring.
AI success isn’t just about technology—it’s about talent and mindset. Paul explores how organisations can equip their people with the right skills, structures, and incentives to thrive in an AI-enabled world. From boardroom to frontline, he outlines what it takes to develop AI fluency across functions and embed a culture of innovation that lasts.
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