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WEBINARS


GENERATIVE AI IN THE LEGAL AND COMPLIANCE ARENA: A BRIEF SNAPSHOT

Wednesday 02/28/2024 1:00 pm EST

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:

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.

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