Disha Mukherjee

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.