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The Sotif Meta-Algorithm: Quantiative Analyses of the Safety of AI Edge Case Research, Incorporated

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Wagner, Michael, author.
Contributor:
Carlson, Noah
Dwyer, Christopher
Conference Name:
2025 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium (2025-08-12 : Novi, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
This paper presents updates to a "meta-algorithm" for achieving safer AI driven systems by integrating systems theoretic process analysis, quantitative fault tree analysis, structured generation of safety metrics, and statistical hypothesis testing of metrics between simulation and reality. This paper presents updates to the meta-algorithm after its application in use cases involving commercial autonomous vehicle deployment
Notes:
Vendor supplied data
Publisher Number:
2025-01-0437
Access Restriction:
Restricted for use by site license

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