Graham Ross
Head of Responsible AI Centrica
Graham leads the Responsible AI function, enabling innovation through the responsible use of AI and machine learning while maintaining strong governance and risk discipline. With over a decade of experience in data science and machine learning, and a background as an Enterprise Architect, he brings deep technical expertise alongside ethical, legal, and regulatory perspectives. He is also committed to developing future talent, supporting graduate, apprenticeship, and internship programmes.
Responsible AI Summit Main Conference Day 1 - Monday 21 September
3:05 PM Panel Discussion – Engineering vs Governance: Have We Got It Figured Out?
As AI systems scale and grow in complexity, the lines between engineering responsibility and governance oversight can blur. This panel explores where frictions emerge, how technical and governance teams can collaborate effectively, and whether current role definitions are fit for purpose. Through real-world examples, the discussion will probe whether enforcing policy-as-code and defining accountability truly resolves tension.
• Assigning clear roles to reduce friction and evolving with system complexity.
• Embedding governance into practice through technical pipelines.
• Integrating monitoring and checks to enforce accountability in real time.
Check out the incredible speaker line-up to see who will be joining Graham.
Download The Latest Agenda
