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Generative AI (gAI) is transforming the legal and compliance sectors by automating tasks and processing vast data sets. While it offers substantial benefits, it also poses unique challenges. Critical issues include copyright and authorship complexities, personal data handling, and AI’s role in both facilitating and preventing fraud. The dynamic nature of gAI technology also necessitates a continuous reassessment of its legal and ethical implications.

Learning Outcomes:

● Navigating Copyright Issues: Learn about the complexities surrounding copyright laws as they apply to AI-generated content, including the latest legal perspectives and rulings.
● Data Privacy and Compliance: Gain insights into how personal and business data is handled by gAI systems, the implications for data privacy laws, and strategies to ensure lawful and secure data processing.
● Risk Management in gAI Adoption: Understand the risks associated with generative AI, such as security, privacy, and reliability, and learn how risk management teams can play a critical role in facilitating safe gAI adoption in business environments.
● Generative AI in Fraud Detection and Prevention: Explore how gAI can be both a tool for fraudsters and a defense mechanism in fraud prevention, particularly in financial transactions and regulatory compliance