AuthorsM. K. Ahuja, M. B. Belaid, P. Bernabé, M. Collet, A. Gotlieb, C. Lal, D. Marijan, S. Sen, A. Sharif and H. Spieker
TitleOpening the Software Engineering Toolbox for the Assessment of Trustworthy AI
AfilliationSoftware Engineering
Project(s)Department of Validation Intelligence for Autonomous Software Systems
StatusAccepted
Publication TypeProceedings, refereed
Year of Publication2020
Conference Name1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020
Other NumbersarXiv:2007.07768
Abstract


Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess its behaviour and characteristics against a gold standard of Trustworthy AI, consisting of guidelines, requirements, or only expectations. While AI systems are highly complex, their implementations are still based on software. The software engineering community has a long-established toolbox for the assessment of software systems, especially in the context of software testing. In this paper, we argue for the application of software engineering and testing practices for the assessment of trustworthy AI. We make the connection between the seven key requirements as defined by the European Commission's AI high-level expert group and established procedures from software engineering and raise questions for future work.

Citation Key27341