With great power comes even greater responsibility: AI responsibility to be specific. Organizations, regulators, and data practitioners can all get behind the concept of Responsible AI. It’s more than just understanding how a model is built; It’s about addressing ethics, regulations and law, and human rights to build an inclusive world. So if this is so universal and important, why aren’t we seeing more prioritize this framework? Join us to learn what organizations are doing today to tackle bias and AI risk, plus how data professionals can start a positive step forward with AI, in a more responsible way.
Patrick Hall, Principal Scientist – BNH.AI
Augusta Zhang, Product Marketing Manager – SAS
Sean Welch – Host and Producer – DSC