Implementing AI Ethics : Making Sense of the Ethical Requirements
Agbese, M., Mohanani, R., Khan, A., & Abrahamsson, P. (2023). Implementing AI Ethics : Making Sense of the Ethical Requirements. In Proceedings of EASE 2023 : Evaluation and Assessment in Software Engineering (pp. 62-71). ACM. https://doi.org/10.1145/3593434.3593453
Päivämäärä
2023Oppiaine
Empirical Cyber Security and Software EngineeringTietojärjestelmätiedeEmpirical Cyber Security and Software EngineeringInformation Systems ScienceTekijänoikeudet
© 2023 Copyright held by the owner/author(s).
Society’s increasing dependence on Artificial Intelligence (AI) and AI-enabled systems require a more practical approach from software engineering (SE) executives in middle and higher-level management to improve their involvement in implementing AI ethics by making ethical requirements part of their management practices. However, research indicates that most work on implementing ethical requirements in SE management primarily focuses on technical development, with scarce findings for middle and higher-level management. We investigate this by interviewing ten Finnish SE executives in middle and higher-level management to examine how they consider and implement ethical requirements. We use ethical requirements from the European Union (EU) Trustworthy Ethics guidelines for Trustworthy AI as our reference for ethical requirements and an Agile portfolio management framework to analyze implementation. Our findings reveal a general consideration of privacy and data governance ethical requirements as legal requirements with no other consideration for ethical requirements identified. The findings also show practicable consideration of ethical requirements as technical robustness and safety for implementation as risk requirements and societal and environmental well-being for implementation as sustainability requirements. We examine a practical approach to implementing ethical requirements using the ethical risk requirements stack employing the Agile portfolio management framework.
...
Julkaisija
ACMEmojulkaisun ISBN
979-8-4007-0044-6Konferenssi
International Conference on Evaluation and Assessment in Software EngineeringKuuluu julkaisuun
Proceedings of EASE 2023 : Evaluation and Assessment in Software EngineeringAsiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/183856511
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisätietoja rahoituksesta
This research is supported by The Business Finland funded project Smart Terminals, SMARTER and Ministry of Education funded project AI-Forum.Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Ethical Requirements Stack : A framework for implementing ethical requirements of AI in software engineering practices
Agbese, Mamia; Mohanani, Rahul; Khan, Arif Ali; Abrahamsson, Pekka (ACM, 2023) -
AI Ethics : An Empirical Study on the Views of Practitioners and Lawmakers
Khan Arif, Ali; Akbar, Muhammad Azeem; Fahmideh, Mahdi; Liang, Peng; Waseem, Muhammad; Ahmad, Aakash; Niazi, Mahmood; Abrahamsson, Pekka (IEEE, 2023)Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and ... -
Implementing artificial intelligence ethics in trustworthy systems development : extending ECCOLA to cover information governance principles
Agbese, Mamia (2021)This Master's thesis assesses how to extend a higher-level developmental method for trustworthy artificial intelligent systems, ECCOLA, by evaluating it with Information Governance principles. Artificial intelligent systems ... -
Current state of practice on AI ethics implementation in the industry
Kultanen, Joni (2020)This thesis consists of two articles discussing the current state of practice on artificial intelligence (AI) ethics implementation in the industry. As the usage of AI in systems affecting peoples’ everyday lives constantly ... -
Implementing AI Ethics in Practice : An Empirical Evaluation of the RESOLVEDD Strategy
Vakkuri, Ville; Kemell, Kai-Kristian (Springer, 2019)As Artificial Intelligence (AI) systems exert a growing influence on society, real-life incidents begin to underline the importance of AI Ethics. Though calls for more ethical AI systems have been voiced by scholars and ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.