Adversarial Machine Learning: Legal Implications and Risk Management Strategies

Adversarial machine learning (AML) poses significant legal challenges for organizations, particularly regarding privacy compromise attacks in Predictive AI and prompt injection attacks in Generative AI, necessitating careful compliance with regulations like Gramm-Leach-Bliley and HIPAA while managing risks through contractual provisions and internal policy revisions.
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