Episode 16 (English) - Systems approach to Safety - with Michael Schmid

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