Michael Schmid is a Technology Architect and Loss Prevention Specialist in the field of autonomous systems. His research focuses on preventing losses related to the use of Artificial Intelligence (AI) and making AI safe for use in everyday technology.

Previously, Michael has worked on automation features in cars, self-driving software, and has developed a certification approach for automated vehicles. Michael has a Master‘s degree from the Massachusetts Institute of Technology (MIT) and is currently a PhD candidate in the Group for System Safety and Cybersecurity at MIT.

In this episode, Michael provided some insights into his research and explained why we need a systems approach to solve many of today‘s problems in technology. As an example, Michael and I discussed some of the challenges of autonomous cars and he outlined a systems-based approach for their certification. Michael provided a quick overview of his current research, making AI-based technology safe, and described some of his main ideas. STAMP, a new accident causality model developed by Nancy Leveson, Michael‘s supervisor at MIT, serves as the basis for his approach.

Additional sources of information:

To learn more about Michael, his projects and current work, or to download his Master‘s thesis on the certification of automated vehicles visit his webpage: michael.systems

For info about STAMP and the next STAMP workshop go to: PSAS website