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AI Explainability-by-Design

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AI Explainability-by-Design

Join us on August 8 at 2 p.m. for How to ensure that your AI doesn’t become a litigation nightmare, presented by Mayer Brown.

Despite our best efforts, things will sometimes go wrong with AI systems. The parties involved may find themselves in litigation, arbitration or in a dispute with their regulator. When this happens, the parties will need to peer into the “black box” to reconstruct what the computer did and why. The usual electronic discovery tools and evidentiary principles for electronic records, however, might not work for an AI system. This is especially true for a system that continually “learns” based on new data. During this webinar, we will discuss some of these challenges, and explain how lawyers and other stakeholders can assist at the pre-litigation stage.


July 29th, 2019 by