Stephanie Cairns

Stephanie Cairns

Senior Data Scientist, AI Risk OVO Energy
Stephanie Cairns

Stephanie is helping lead OVO’s efforts to embed responsible AI into every stage of the development process, from implementing technical evaluations to creating people-focused policies. Stephanie previously served as a Data Scientist and Responsible AI Assessment Lead at Armilla AI, an AI evaluation startup. She has also held roles at the Alan Turing Institute, where she led research on genAI risks and AI regulation and standards, and at the Responsible AI Institute, a non-profit dedicated to building AI governance tools. She holds an MSc in Applied Mathematics from McGill University in Montreal, where her research focused on statistical methods for evaluating and tackling ML bias, as well as regulatory challenges for ensuring the safe use of AI. Her spare time is spent devouring innumerable fantasy novels, slowly improving her (still shaky) tennis skills, and dreaming about where to travel next.

Responsible AI Summit Main Conference Day 1 - Monday 21 September

3:00 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 Stephanie.

Download The Latest Agenda