AI, Litigation, and Issues Surrounding Admissible Evidence
About
Join a “fireside chat” with those who have worked on precedent setting cases involving technology as they discuss how the integration of AI processes will affect evidence in potential litigation, including civil and criminal. Issues discussed will include: How developers should retain AI generated data and for how long; What form rules and regulations should take related to AI data retention; What evidence is generally needed to establish or defend against liability when AI is the primary actor; And, when does a developer cease to be liable in litigation as an AI system becomes more “independent.”
Learning Objectives:
Identify issues within an AI foundation model that may be implicated in later litigation involving the AI system
Identify potential regulatory and legal compliance issues that currently exist and that may arise in the near future regarding AI systems
Understand how AI data sets and user operation of AI system is implicated in litigation liability scenarios
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