Addressing the Ethical & Legal Risk of Internal Generative AI (LLM, Diffusion)
This course discusses the ethical and legal risks of using Generative AI algorithms in a corporate setting. Participants will gain insights into potential risks such bias amplification, consequences of providing wrong information, intellectual property infringement, data privacy violations, and the manipulation of the user by the machine.
The program emphasizes the implementation and management of Trustworthy AI to mitigate these risks. Through case studies attendees will learn best practices for compliance and ethical decision-making.
- Practical definitions of Artificial Intelligence, including Large Language Models and Diffusion
- Understand Ethical and Legal Risks, aligned with real-life cases
- Compliance with Regulations
- Ethical Decision-Making
- Concept of Trustworthy AI
- Understanding the employee’s role in the Human-AI Team
- Introduction to Artificial Intelligence, including Large Language Models and Diffusion
- Ethical Considerations
- Legal Implications
- Bias and Accountability
- Real-life cases
- Trustworthy Artificial Intelligence
- Human-AI Team
Ideal for professionals navigating AI integration within their organizations.
- Compliance, Governance, Risk, Legal, IT, AI Officer, GRC, ESG
Patrick Henz is a distinguished expert in Governance, Risk, and Compliance. As the Head of GRC at a leading engineering and plant construction company, Patrick champions a proactive and holistic approach to compliance, integrating ethics, sustainability, and innovation. With over 15 years of global experience, including the implementation of the Siemens Anti-Corruption Program across Latin America, he brings invaluable insights into business ethics, resilience, and emerging technologies like Artificial Intelligence. Patrick is a published author, seasoned speaker, and co-founder of the Ethics & Compliance Forum Mexico. His work reflects a deep commitment to fostering integrity and sustainability in corporate governance.
He is a promoter of the Human-AI Team, and since August 2019, Mitsubishi Heavy Industries Americas Special Advisor for Compliance Latin America,
Upcoming Webinars
By Bruce Lee
Date: Dec. 27, 2024
By Beverly Beuermann-King
Date: Dec. 27, 2024
By Garrett Wasny
Date: Dec. 30, 2024
By Wendy Sellers
Date: Jan. 6, 2025
By Diane L. Dee
Date: Jan. 6, 2025
By Rebecca Farabaugh
Date: Jan. 7, 2025
By Margie Faulk
Date: Jan. 7, 2025
By Melveen Stevenson
Date: Jan. 7, 2025
By Bob McKenzie
Date: Jan. 7, 2025
By Marcia Zidle
Date: Jan. 8, 2025
By Richard E Cascarino
Date: Jan. 8, 2025
By William Mack Copeland
Date: Jan. 9, 2025
By Mark Gorkin
Date: Jan. 10, 2025
By Bruce Lee
Date: Jan. 13, 2025
By Terry Winship
Date: Jan. 14, 2025
By Diane L. Dee
Date: Jan. 14, 2025
By Dr. Susan Strauss
Date: Jan. 15, 2025
By Meredith Crabtree
Date: Jan. 16, 2025
By Michael D Haberman
Date: Jan. 16, 2025
By Edwin Waldbusser
Date: Jan. 16, 2025
By Rachelle D Souza
Date: Jan. 16, 2025
By Charles H. Paul
Date: Jan. 16, 2025
By David Nettleton
Date: Jan. 17, 2025
By Abdelrahman Abdou
Date: Jan. 17, 2025
By Jonnie Keith
Date: Jan. 17, 2025
By William J. Rothwell
Date: Jan. 24, 2025
By Meredith Crabtree
Date: Jan. 27, 2025
By Pete Tosh
Date: Jan. 27, 2025
By Marcia Zidle
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Date: Jan. 29, 2025
By David R. Dills
Date: Jan. 29, 2025
By Margie Faulk
Date: Jan. 30, 2025
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