AI Forensics: Examining AI Systems in Litigation (On-Demand)

Course Description

This course covers the emerging field of AI Forensics and how AI systems can be examined for litigation. This session will provide a foundational understanding of AI Forensics, beginning with an introduction to its key concepts and terminology. Participants will learn what AI Forensics entails, including the techniques and tools used to investigate and analyze artificial intelligence systems. The presentation will cover the types of cases where AI Forensics is applicable, such as intellectual property disputes, algorithmic bias investigations, and cybersecurity incidents involving AI systems.

The session will also offer a detailed explanation of how AI Forensics works, from the initial steps of data collection and analysis to the methods used to interpret and present findings in a legal context. Attendees will gain insights into the challenges and limitations faced by practitioners in this field, including issues related to data integrity, proprietary algorithms, and the evolving nature of AI technologies. Furthermore, the session will provide an overview of the current state of AI-specific litigation, highlighting significant cases and emerging trends that are shaping the legal landscape. By the end of this CLE, participants will be equipped with the knowledge to understand and navigate the complexities of AI Forensics, enhancing their ability to handle cases involving advanced artificial intelligence systems.

Syllabus

1. What AI Forensics is and key terminology
2. The Types of cases in which AI Forensics applies
3. How AI Forensics works
4. Challenges and Limitations to AI Forensics
5. Current State of AI-specific Litigation