Ethical maintenance of artificial intelligence systems

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Ethical maintenance of artificial intelligence systems. / Düdder, Boris; Möslein, Florian; Stürtz, Norman; Westerlund, Magnus; Zicari, Roberto V.

Artificial Intelligence for Sustainable Value Creation. Edward Elgar Publishing, 2021. p. 151-171.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Düdder, B, Möslein, F, Stürtz, N, Westerlund, M & Zicari, RV 2021, Ethical maintenance of artificial intelligence systems. in Artificial Intelligence for Sustainable Value Creation. Edward Elgar Publishing, pp. 151-171.

APA

Düdder, B., Möslein, F., Stürtz, N., Westerlund, M., & Zicari, R. V. (2021). Ethical maintenance of artificial intelligence systems. In Artificial Intelligence for Sustainable Value Creation (pp. 151-171). Edward Elgar Publishing.

Vancouver

Düdder B, Möslein F, Stürtz N, Westerlund M, Zicari RV. Ethical maintenance of artificial intelligence systems. In Artificial Intelligence for Sustainable Value Creation. Edward Elgar Publishing. 2021. p. 151-171

Author

Düdder, Boris ; Möslein, Florian ; Stürtz, Norman ; Westerlund, Magnus ; Zicari, Roberto V. / Ethical maintenance of artificial intelligence systems. Artificial Intelligence for Sustainable Value Creation. Edward Elgar Publishing, 2021. pp. 151-171

Bibtex

@inbook{800e6c73d064481e8454f4420daf1d38,
title = "Ethical maintenance of artificial intelligence systems",
abstract = "The ethical and societal implications of artificial intelligence systems are a general concern. Resolving the tension between incorporating the benefits and mitigating the potential harms of AI ensures that the outcomes of using AI systems is socially acceptable. A possible solution is to have AI systems be audited for harm by investigators. In this chapter, we introduce Z-inspection{\textregistered}, a reference and a process model for AI Ethical maintenance, to help monitor AI systems after deployment, preserve ethical principles, and ensure robustness, from both a technical and social perspective, within the context of given legal and contractual frameworks. We illustrate the benefits of AI ethical maintenance with a case study in healthcare.",
author = "Boris D{\"u}dder and Florian M{\"o}slein and Norman St{\"u}rtz and Magnus Westerlund and Zicari, {Roberto V.}",
note = "Publisher Copyright: {\textcopyright} Margherita Pagani and Renaud Champion 2021.",
year = "2021",
month = jan,
day = "1",
language = "English",
isbn = "9781839104381",
pages = "151--171",
booktitle = "Artificial Intelligence for Sustainable Value Creation",
publisher = "Edward Elgar Publishing",
address = "United Kingdom",

}

RIS

TY - CHAP

T1 - Ethical maintenance of artificial intelligence systems

AU - Düdder, Boris

AU - Möslein, Florian

AU - Stürtz, Norman

AU - Westerlund, Magnus

AU - Zicari, Roberto V.

N1 - Publisher Copyright: © Margherita Pagani and Renaud Champion 2021.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - The ethical and societal implications of artificial intelligence systems are a general concern. Resolving the tension between incorporating the benefits and mitigating the potential harms of AI ensures that the outcomes of using AI systems is socially acceptable. A possible solution is to have AI systems be audited for harm by investigators. In this chapter, we introduce Z-inspection®, a reference and a process model for AI Ethical maintenance, to help monitor AI systems after deployment, preserve ethical principles, and ensure robustness, from both a technical and social perspective, within the context of given legal and contractual frameworks. We illustrate the benefits of AI ethical maintenance with a case study in healthcare.

AB - The ethical and societal implications of artificial intelligence systems are a general concern. Resolving the tension between incorporating the benefits and mitigating the potential harms of AI ensures that the outcomes of using AI systems is socially acceptable. A possible solution is to have AI systems be audited for harm by investigators. In this chapter, we introduce Z-inspection®, a reference and a process model for AI Ethical maintenance, to help monitor AI systems after deployment, preserve ethical principles, and ensure robustness, from both a technical and social perspective, within the context of given legal and contractual frameworks. We illustrate the benefits of AI ethical maintenance with a case study in healthcare.

UR - http://www.scopus.com/inward/record.url?scp=85130109139&partnerID=8YFLogxK

M3 - Book chapter

AN - SCOPUS:85130109139

SN - 9781839104381

SP - 151

EP - 171

BT - Artificial Intelligence for Sustainable Value Creation

PB - Edward Elgar Publishing

ER -

ID: 311136194