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 -