This CLE webinar examines the landscape of AI litigation and strategies for addressing AI-related evidence. Attendees will gain practical insights into AI evidence, forensic methodologies and how they differ from traditional digital forensics, including specialized techniques for preserving, and analyzing AI evidence. We will cover several leading types of AI-related litigation, including intellectual property disputes, algorithmic bias, and the reliability of AI evidence. Participants will also learn effective strategies for presenting complex AI-related evidence and ways to explain the technical concepts in civil and criminal proceedings.
Key topics to be discussed:
• Types of litigation involving AI and the common types of AI
• AI forensics vs. traditional digital forensics
• Ethical considerations and potential bias in AI-derived evidence
• Strategies for presenting complex AI-related evidence in civil and criminal cases
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