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.
WHY SHOULD YOU ATTEND?
Ideal for professionals navigating AI integration within their organizations.
AREA COVERED
- 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
LEARNING OBJECTIVES
- 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
WHO WILL BENEFIT?
- Compliance, Governance, Risk, Legal, IT, AI Officer, GRC, ESG
Ideal for professionals navigating AI integration within their organizations.
- 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
- 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
- Compliance, Governance, Risk, Legal, IT, AI Officer, GRC, ESG
