Artificial Intelligence (AI) models continue to grow more powerful, and AI models offer valuable and novel performance for both engineering workflows and commercial products. Questions often arise about safety challenges when AI is used in safety critical applications or to develop safety critical products. But why, specifically, is AI difficult to use in functional safety applications, and do existing functional safety standards address these problems? This webinar provides an accessible answer to these questions including:
* The properties of popular AI models that pose safety challenges
* Limitations of traditional functional safety standards when applied to AI
The webinar will provide a preview of ways to address the identified challenges which will be presented in the follow-up webinar: Addressing the challenges for AI and Safety.
Dr. O’Brien is a Senior Safety Engineer who performs System FMEAs, Electrical FMEAs, and Electrical FMEDAs for exida Certification. She also performs Hardware and Software certification assessments. Molly is part of a team of experts at exida who are developing a certification scheme for Safety Functions that include Machine Learning. Molly defended her Ph.D. in Computer Science at Johns Hopkins University, and her doctoral thesis focuses on predicting Neural Network performance in novel operating domains. She has research experience in perception, robotics, and medical imaging. Molly received a Bachelor of Science in Electrical Engineering and a Bachelor of Science in French and Francophone Studies from Pennsylvania State University.