A Taxonomy of Critical AI System Characteristics for Use in Proxy System Testing

Joanna Defranco, Mohamad Kassab, Phil Laplante

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Safety and trust are two of the most important features in a critical system. A critical system is one that must be highly reliable in that it not only completes its mission but causes zero harm to the public. The problem is testing a critical system, especially if it employs artificial intelligence (AI). The challenge is critical AI systems (CAIS) may cause unpredictable events and conditions that cannot be modeled during critical error testing. Proxy systems (non-critical prototype) are needed to test the critical system. We present a five-dimensional CAIS taxonomy and a weighting system to map system characteristics to a testing proxy in order to determine equivalent proxy systems to build and test. Ultimately this CAIS taxonomy and weighting system is a way forward to develop a set of proxy systems to use for critical error testing.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages342-346
Number of pages5
ISBN (Electronic)9781665476799
DOIs
StatePublished - 2022
Event33rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022 - Virtual, Online, United States
Duration: Oct 31 2022Nov 3 2022

Publication series

NameProceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022

Conference

Conference33rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022
Country/TerritoryUnited States
CityVirtual, Online
Period10/31/2211/3/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Safety, Risk, Reliability and Quality

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