The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs
2021 (English)In: Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356, Vol. 404, p. 66-77Article in journal (Refereed) Published
Abstract [en]
AI solutions seem to appear in any and all application domains. As AI becomes more pervasive, the importance of quality assurance increases. Unfortunately, there is no consensus on what artificial intelligence means and interpretations range from simple statistical analysis to sentient humanoid robots. On top of that, quality is a notoriously hard concept to pinpoint. What does this mean for AI quality? In this paper, we share our working definition and a pragmatic approach to address the corresponding quality assurance with a focus on testing. Finally, we present our ongoing work on establishing the AIQ Meta-Testbed.
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. Vol. 404, p. 66-77
Keywords [en]
Artificial intelligence, Machine learning, Quality assurance, Software testing, Testbed, Anthropomorphic robots, Computer software selection and evaluation, Social robots, Testbeds, Humanoid robot
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-52908DOI: 10.1007/978-3-030-65854-0_6Scopus ID: 2-s2.0-85101540601ISBN: 9783030658533 (print)OAI: oai:DiVA.org:ri-52908DiVA, id: diva2:1557611
Conference
13th Software Quality Days Conference, SWQD 2021; Vienna; Austria; 19 January 2021 through 21 January 2021
Note
Funding details: Lunds Universitet; Funding text 1: This work was funded by Plattformen at Campus Helsingborg, Lund University.
2021-05-262021-05-262021-05-26Bibliographically approved