B3 Non-refereed conference proceedings
Technical Briefing : Hands-On Session on the Development of Trustworthy AI software (2021)

Vakkuri, V., Kemell, K.-K., & Abrahamsson, P. (2021). Technical Briefing : Hands-On Session on the Development of Trustworthy AI software. In 2021 IEEE/ACM 43rd International Conference on Software Engineering : Companion Proceedings : ICSE-Companion 2021 (pp. 332-333). IEEE. https://doi.org/10.1109/ICSE-Companion52605.2021.00142

JYU authors or editors

Publication details

All authors or editors: Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka

Parent publication: 2021 IEEE/ACM 43rd International Conference on Software Engineering : Companion Proceedings : ICSE-Companion 2021

Conference:

Place and date of conference: Virtual (originally Madrid, Spain), 25.-28.5.2021

eISBN: 978-1-6654-1219-3

ISSN: 2574-1926

eISSN: 2574-1934

Publication year: 2021

Pages range: 332-333

Number of pages in the book: 340

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/ICSE-Companion52605.2021.00142

Publication open access: Not open

Publication channel open access: 

Abstract

Following various real-world incidents involving both purely digital and cyber-physical Artificial Intelligence (AI) systems, AI Ethics has become a prominent topic of discussion in both research and practice, accompanied by various calls for trustworthy AI systems. Failures are often costly, and many of them stem from issues that could have been avoided during development. For example, AI ethics issues, such as data privacy are currently highly topical. However, implementing AI ethics in practice remains a challenge for organizations. Various guidelines have been published to aid companies in doing so, but these have not seen widespread adoption and may feel impractical. In this technical briefing, we discuss how to implement AI ethics. We showcase a method developed for this purpose, ECCOLA, which is based on academic research. ECCOLA is intended to make AI ethics more practical for developers in order to make it easier to incorporate into AI development to create trustworthy AI systems. It is a sprint-based and adaptive tool designed for agile development that facilitates reflection within the development team and helps developers make ethics into tangible product backlog items.

Keywords: software engineering; artificial intelligence; system design; ethics; ethicality; reliability (general)

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2021