Matthew Newman

Matthew Newman is an enterprise AI governance, safety and adoption lead with more than 20 years shaping technology strategy, governance and operating models inside large, regulated, matrixed organisations.

He has built enterprise AI governance from the ground up in regulated industry, chairing AI governance boards, establishing AI risk taxonomies and estate oversight, and designing the evaluation, guardrail and observability systems that turn policy into enforced controls. Alongside this he has taught AI strategy and leadership to senior executives, helping them make AI decisions rather than defer them to specialists.

His experience spans the full breadth of AI delivery: governance frameworks (ISO 42001, NIST AI RMF, the EU AI Act and the IEEE P7000 series), the controls that enforce them, and the architecture and adoption programmes that put agentic and generative AI into production safely. He is platform-agnostic and hands-on across Azure, AWS, GCP, Anthropic and OpenAI, and contributes to the standards themselves through IEEE working groups, including P2863 on AI governance.

Earlier roles include AI safety and ethics program lead at SingularityNET, a frontier AGI research lab; building the national Trusted AI practice at Capgemini Invent; and transformation leadership at Shell, Royal Philips, CBA and BT. He has lived in the UK, the Netherlands and Australia, and worked across Europe, the Middle East, India, the United States and Australia. He holds a BSc in Computer Systems Integration from the University of Southampton.