Episode 19 (English) - STAMP and STPA - A systems approach for complex systems - 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. He is the second time guest in this podcast.


In this episode, Michael gave a thorough introduction to STAMP
and STPA. STAMP is an accident causality model that was developed
by prof. Nancy Leveson at MIT. It is based on systems theory and
systems thinking. It is well-suited to addresses the challenges
in engineering when working with critical complex systems. STPA
is an analysis method based on STAMP to analyze systems to
proactively avoid accidents. In comparison, CAST is the a method
to analyse accidents that already happened.


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

The STPA-handbook can be found here: STPA-handbook

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