AI Risk Program

Day 1

April 3, 2024 10am - 12pm(East Coast Time)

Introduction to Artificial Intelligence and Machine Learning. Understanding Key Words

Description

Explore the uses of AI technology.

• Deep Analysis: Dive deep into the intricacies and risks of AI and ML technologies, moving beyond theoretical concepts.
• Risk Assessment: Critically analyze the real-world application of AI and ML, understanding both their potential and potential pitfalls.
• Advanced Topics Exploration: Explore complex areas like deep learning and algorithms for solving significant problems such as fraud and money laundering.
• Future Insights: Gain a view into the future with expert panelists sharing trends, thought leadership, and the evolving landscape.
• Broad Understanding: Conclude the module with a significantly enhanced understanding of the impact and utility of AI and ML technologies.

Day 2

April 10, 2024 10am - 12pm(East Coast Time)

Introduction to AI Risks

Description

Understand the risks associated with AI technologies. Discuss the potential ethical, legal, and social implications of AI. Explore the AI regulatory landscape, including existing regulations and compliance requirements for AI systems. Examine AI bias and fairness, and the importance of transparency and explainability in AI decision-making. Gain insights into interpreting and explaining AI models while considering the challenges and limitations of explainable AI.

• Deep Analysis: Using Semantic Data to understand human behavior. Demonstration of how algorithms can predict, prevent, and detect dishonest actions.
  The Fraud Triangle as the theoretical basis for monitoring anti-ethical behaviors. Regulatory considerations.
• Regulatory Landscape: EU Artificial Intelligence Act, AI Guidance and Data Protection. The fragmented state of U.S. guidance and legal frameworks.
• Legal Considerations: Data Privacy, Consumer rights, Consent, and Copyright issues. Managing third-party supplier risks. Stayin ahead of the curve in AI development
• Future Insights: Is 2024 the year of AI regulations in the U.S.? The rise of state level regulation and the move towards greater clarity at the federal level.

Day 3

April 17, 2024 12pm - 2pm(East Coast Time)

AI/ML Case Studies and Risk Management

Description

Explore real-world examples of AI risks and compliance challenges through case studies. Learn from lessons learned and best practices. Introduction to AI governance frameworks and standards, discussing the components of effective AI governance. Discover methods for identifying and assessing risks in AI projects, along with risk prioritization and mitigation strategies. Understand the unique risks associated with AI data, models, and decision-making. Address data privacy and security challenges in AI applications, and learn best practices for ensuring privacy and security in AI system development and deployment.