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Assessing Punitive Damages in AI Risk Cases
The chapter compares fixed formula and case-specific approaches to assessing punitive damages in cases involving AI risks, discussing the challenges and advantages of each method. It explores the trade-off between predictability and optimal outcomes in legal decision-making, emphasizing the need for a balanced approach to address AI risk assessment.