TY - GEN
T1 - Investigating Bugs in AI-Infused Systems
T2 - 33rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022
AU - Kassab, Mohamad
AU - Defranco, Joanna
AU - Laplante, Phillip
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Testing for critical AI systems is non-trivial as these systems are prone to a new breed of sophisticated software defects. The admissibility of these systems and their fundamental social acceptance is tightly coupled with assuring whether the potential hazards to humans, animals, and property posed by the prospect defects can be minimized and limited to an acceptable level. In this work, we address the problem of assurance for critical AI systems by firstly, analyzing the nature of defects that occur in AI -infused systems in general and how to combat these within a testing strategy. Secondly, developing a focused taxon-omy of prospect defects in critical AI systems. This taxonomy enables the development of the non-critical proxy (i.e., stand-in) equivalent by reproducing defects with similar characteristics.
AB - Testing for critical AI systems is non-trivial as these systems are prone to a new breed of sophisticated software defects. The admissibility of these systems and their fundamental social acceptance is tightly coupled with assuring whether the potential hazards to humans, animals, and property posed by the prospect defects can be minimized and limited to an acceptable level. In this work, we address the problem of assurance for critical AI systems by firstly, analyzing the nature of defects that occur in AI -infused systems in general and how to combat these within a testing strategy. Secondly, developing a focused taxon-omy of prospect defects in critical AI systems. This taxonomy enables the development of the non-critical proxy (i.e., stand-in) equivalent by reproducing defects with similar characteristics.
KW - AI
KW - defects
KW - software testing
KW - taxonomy
UR - http://www.scopus.com/inward/record.url?scp=85146352198&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146352198&partnerID=8YFLogxK
U2 - 10.1109/ISSREW55968.2022.00094
DO - 10.1109/ISSREW55968.2022.00094
M3 - Conference contribution
AN - SCOPUS:85146352198
T3 - Proceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022
SP - 365
EP - 370
BT - Proceedings - 2022 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 31 October 2022 through 3 November 2022
ER -