Kailash Satyarthi
2014 Nobel Peace Prize Laureate | Founder of Bachpan Bachao Andolan | Child Rights & Anti-Trafficking Activist | UN SDG Advocate
Head of Responsible AI & AI Strategy, NatWest Group | PhD in AI | Expert on AI Governance, Generative AI & Enterprise Deployment | C-Suite Advisor
AI speaker Paul Dongha is one of the UK's foremost authorities on responsible AI and enterprise AI strategy. As Head of Responsible AI at NatWest Group and former Group Head of Data & AI Ethics at Lloyds Banking Group, he helps boards move from AI pilots to scaled value without compromising trust or compliance. His keynotes deliver a clear playbook for governance, regulation, and human-centred AI deployment.
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AI speaker Paul Dongha is one of the UK’s leading voices in responsible AI and enterprise AI strategy. With a PhD in Artificial Intelligence and degrees in Computer Science from the University of Manchester, he combines deep technical expertise with a sharp understanding of corporate strategy, regulation, and risk.
He currently serves as Head of Responsible AI & AI Strategy at NatWest Group, leading group-wide efforts to deploy AI in a safe, transparent, and auditable way. His work focuses on aligning innovation with frameworks such as the EU AI Act, designing governance that holds up at scale, and ensuring AI delivers real value without eroding trust.
Before NatWest, speaker Paul Dongha was Group Head of Data & AI Ethics at Lloyds Banking Group, where he co-chaired the ethics board and built governance frameworks for AI development across the enterprise. Earlier in his career, he held senior technology leadership roles at HSBC, ABN AMRO, and Standard Bank, including Head of Credit Risk Systems and Head of Derivatives Product Control, overseeing programmes with budgets of up to £25M.
Paul began his career in the early 1990s as an AI researcher and university lecturer, a foundation that still shapes his work today: rigorous, evidence-driven, and grounded in the realities of running 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 across people, process, and technology.
As a speaker, Paul Dongha gives boards and executive teams a practical, no-buzzwords view of where AI is heading and how to lead through it. His keynotes turn complex topics, regulation, ethics, generative AI, AGI, customer experience, and AI culture, into clear strategy and concrete next steps.
AI should be a business strategy, not a side project. Paul shows executive teams how to design an AI strategy that reinforces, rather than competes with, core business objectives. Drawing on his work 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 lets companies move from segmentation to true individualisation, but only when it is implemented well. Paul explores how leading organisations use AI to deliver customer experiences that are not just smarter but meaningfully more relevant, and walks through the technology, data, and ethical safeguards required to get it right.
Becoming an AI-powered company is not about hiring more data scientists, it is about changing how the organisation thinks, builds, and scales. Paul lays out what it takes to embed AI capabilities across teams, processes, and decision-making, and shares lessons on governance, infrastructure, and culture that leadership teams can use to drive lasting transformation.
What does it really mean to do AI ethically? In this session Paul moves past buzzwords to deliver concrete insight 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 needed to protect users, companies, and society.
The regulatory landscape around AI is shifting fast and compliance will be a moving target. Paul gives an executive-level briefing on the trends shaping global AI regulation, including the EU AI Act, UK guidance, and US developments, and 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 is not just about technology, it is about talent and mindset. Paul explores how organisations can equip their people with the skills, structures, and incentives needed to thrive in an AI-enabled world, and outlines what it takes to build AI fluency from boardroom to frontline and embed a lasting culture of innovation.
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