CodeX FutureLaw: Moving from principles to practice with AI will require trade-offs

Details

Publish Date:

April 12, 2024

Author(s):

Warren, Zach

Source:

Thomson Reuters

Related Person(s):

Related Organization(s):

Regulation, Evaluation, and Governance Lab,
Stanford Program in Law, Science & Technology

Summary

However, as guidance around AI continues to develop, there is one crucial piece to remember, warns Stanford Law School professor Daniel Ho: Binaries are tough to put into policy. AI, and particularly GenAI, isn’t going to be a use-it-or-don’t proposition. As he explained in the opening keynote at the 2024 Stanford CodeX FutureLaw conference, applying AI in the real world necessitates trade-offs that make even well-meaning guidance more complex than it seems.