In this episode of the Great Women in Compliance podcast, Hemma and Ellen host a roundtable with Hope Anderson, a partner in White & Case’s Data, Privacy, & Cybersecurity Practice, and Jean Liu, Assistant General Counsel, Privacy, Safety, and Regulatory Affairs, who joined Microsoft in 2023 as part of the Nuance Communications, Inc. acquisition.
Together, Hope and Jean have a wealth of experience advising on privacy, AI, and data governance compliance issues and they are well positioned to leverage this See more +
In this episode of the Great Women in Compliance podcast, Hemma and Ellen host a roundtable with Hope Anderson, a partner in White & Case’s Data, Privacy, & Cybersecurity Practice, and Jean Liu, Assistant General Counsel, Privacy, Safety, and Regulatory Affairs, who joined Microsoft in 2023 as part of the Nuance Communications, Inc. acquisition.
Together, Hope and Jean have a wealth of experience advising on privacy, AI, and data governance compliance issues and they are well positioned to leverage this experience in the wake of a rapidly evolving regulatory landscape. Hemma and Ellen didn’t waste a minute mining these two experts for practical tips and recommendations for those of us looking to get smart quick and grapple with what seems like a behemoth task of keeping up with developments in technology and legislation, while at the same time, making sure we don’t get left behind in learning to leverage AI in our own functions.
Join us for an engaging ride through the ups and downs of privacy and AI compliance, and be inspired as we were by the great opportunities to develop new and exciting use cases while mitigating risk and having the chance to unlock the power of responsible and ethical AI for our businesses.
Key Highlights:
• Getting up to speed with rapidly evolving regulatory landscape
• The role of AI principles vs policies and procedures
• Human Rights, Bias, and AI
• Keeping the “Human in the Loop”
• Thoughts on a US Federal AI or Privacy Law
• Leveraging AI for Ethics and Compliance
• Key resources and recommendations See less -
