About the Webcast

Artificial intelligence (AI) systems offer tremendous potential, but compared to traditional software, they introduce novel safety and security risks. System theory provides a powerful lens for understanding these risks and developing effective mitigations.

In this webcast, we’ll introduce System Theoretic Process Analysis (STPA), a system-theory-based approach to safety analysis. We’ll explain how STPA helps organizations build stronger assurances about the safety and security of complex systems, including those that incorporate AI.

What Will Attendees Learn?

• How complex systems fail due to design flaws and unsafe interactions—not just component failures
• How these types of accidents can occur in AI-enabled systems
• How to apply a system-theoretic perspective, including System Theoretic Process Analysis (STPA), to analyzing AI systems
• Practical insights into improving the design, testing, and operational use of AI systems to strengthen safety and security

Who Should Attend?

• AI System Designers
• AI Engineers
• AI Managers
• AI Operational Users

About the Speakers

Dr. Matthew Walsh is a Senior Data Scientist within the CERT Division of Carnegie Mellon University’s Software Engineering Institute (SEI). His research centers on leveraging artificial intelligence (AI) to enhance cybersecurity and to usher in novel organizational capabilities. Among his recent undertakings, Matthew has explored extensions of system theory to assuring the safety and security of AI systems.

Dr. David Schulker is a Senior Data Scientist and team lead in the Software Engineering Institute’s (SEI’s) CERT Division. His research focuses on designing and applying machine learning and artificial intelligence (AI) systems, testing and evaluating these systems, and analyzing their safety and security.