Generative AI in the Legal and Compliance Arena: A Brief Snapshot

Generative AI in the Legal and Compliance Arena: A Brief Snapshot
February 28, 2024

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

Earn 1 PDU/CDU credit when you attend live, good towards any of the following:

  • PDU (PMI)

  • SEU (Scrum Alliance)

  • CDU (IIBA)

  • CDU People Cert (aka ITIL)

 


Presented by:

CK

Chris Knotts, Principal Consultant, Technology Transformation Strategies LLC

Chris is an experienced leader in enterprise technology with over two decades in training, coaching, and emergent technology enablement, particularly in project management. He excels in creating transformative technology training programs focused on software development, data environments, and agile methodologies. His expertise encompasses enterprise software engineering, advanced analytics, data engineering, and the application of AI and machine learning in business. Chris combines design thinking and lean technology management to innovate in product development and operational strategies, impacting various sectors such as government, education, and multinational corporations.

This is a recorded session of a live webinar event. Watch the webinar above.

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