Overview (Program Summary)
Exciting AI implementations do not automatically translate to controlled growth and managed risk without deliberate effort from key stakeholders, and corporate legal departments bear the weight of the resulting governance challenges.
This program will discuss fundamental concepts around validation of AI models and continuous monitoring of AI use cases. Strategies to ensure explainability, transparency, accountability and fairness in AI execution will be discussed, making necessary distinctions between legal requirements directly related to the use of AI systems, and mitigating controls for dynamic risks exasperated by AI use, such as: algorithmic drift, data misuse, privacy concerns, and security risks.
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