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Prudential Financial
Arlington, VA
Tamra has over two decades of private and public sector legal experience including over a decade as senior counsel at the United States Department of Justice where she represented the United States, its federal agencies, and the Office of the President in constitutional and administrative law challenges to large federal programs and policies. During her tenure at DOJ, she received several awards for her work, including the Attorney General’s Award for Exceptional Service for her successful work as a member of the DOJ team defending President Obama’s landmark healthcare legislation, the Affordable Care Act.
Leveraging her extensive knowledge of federal regulatory processes and procedures, she is one of a handful lawyers in the country with a visible external profile as a thought leader on legal issues associated with the use of AI/ML in healthcare, an area of increasing regulatory focus. She is a peer reviewer for the Journal of AI & Ethics and has spoken at several national conferences about legal and regulatory questions associated with the use of race-based clinical decision support (CDS) tools, among other issues. Recently, at the request of the Agency for Healthcare Research and Quality (AHRQ) and the National Institute of Health’s National Institute on Minority Health and Health Disparities (NIMHHD), Tamra served as a member of a consensus panel focused on developing consensus-based guiding principles for the use of race and ethnicity within healthcare algorithms.
Tamra graduated from Brown University and Boston College Law School. She holds certifications in global AI policy and CIPP/US and CIPM certifications from the International Association of Privacy Professionals (IAPP). She is currently Vice President, Corporate Counsel, Global Data, Privacy, & AI at a Fortune 500 global financial services company, where she counsels business partners on legal risks associated with proposed model use cases and works collaboratively with a multi-stakeholder group to scale the company’s AI governance program.
Monday, December 4, 2023
2:15 PM – 3:15 PM ET