Over-reliance on predictive analytics & automated decision systems (ADS) is risky business, particularly in areas of “black box” medicine and life sciences, where one mistake could be fatal. Governmental use of ADS in the realm of criminal justice and talent acquisition is likewise controversial.  Consequently, there’s been a wave of litigation in this area. Accordingly, task forces and a growing contingent of lawyers, policymakers and academics have come to the fore to advocate for more research, safeguards, and regulations to combat the potentially adverse effects of ADS. In this provocative session, we’ll examine the legal implications of algorithmic malpractice.  

 

• Examining controversial use cases where ADS is being deployed

• Identifying the core risks associated with “black box” medicine & life sciences

• Caselaw updates concerning the wave of algorithmic malpractice

• Learn about the latest safeguards and best practices 

Moderator: 

Tess Blair, Partner, Morgan Lewis