Everyone needs Responsible AI (RAI) but confusion abounds about what it is, what it delivers and how to achieve it. Done effectively, RAI boosts AI impact by increasing adoption, quality, safety and reliability, while minimizing risks to organizational performance, reputation, litigation and regulatory penalties.

In this session with ex-Forrester analyst Dr. Kjell Carlsson, Domino Data Lab discussed practical definitions of RAI, examples of best practices from advanced AI teams operating in the public sector and tightly regulated industries. Dr. Carlsson spoke on the RAI people, process and platform capabilities needed to scale trust and impact while also mitigating risk and complying with future AI regulation.