Bias in Artificial Intelligence: Legal Risks and Solutions

You've likely seen the headlines. Online recruiting tools that unfairly screen out women and minorities. Facial recognition tools used in law enforcement that misidentify specific demographic groups. Algorithms that place white patients ahead of patients of color in line for health care. While the potential human costs of biased AI are of paramount importance, what are the legal implications of misguided, flawed, or discriminatory algorithms for your business? This virtual briefing will sort through where algorithmic bias crosses the line into the illegal, and what companies can do about it.

Join us on Tuesday, March 23, 2021 as we explore the legal risks of and solutions to bias in AI. Our outstanding panel of presenters will provide tangible solutions to addressing bias in the form of technical solutions as well as improvements to the governance process for the development and use of AI.

The breakout sessions will work through case studies specific to issues in health care and life sciences, labor and employment, and liability.

Presenters will include Keith E. Sonderling, Commissioner of the U.S. Equal Employment Opportunity Commission (EEOC); Dr. Francesca Rossi, IBM Fellow and AI Ethics Global Leader from IBM; and Derek Snaidauf, Principal, Don Williams, Senior Manager, and Daniel Yoo, Manager from Deloitte Transactions and Business Analytics LLP.

Click here for the full agenda.

Who Should Attend:

General Counsel and other law department leaders, leaders in human resources including Chief Talent/Acquisition Officer, and other organizational leaders such as Chief Information Officers, Chief Compliance Officers and Chief Regulatory Officers (FDA).

Registration is closed - click here to request access.

For questions about the virtual briefing, please contact Matt Loomis or Dionna Rinaldi.

Members of the media, please contact Piper L. Hall.