Ethical maintenance of artificial intelligence systems
Boris Düdder,
Florian Möslein,
Norman Stürtz,
Magnus Westerlund and
Roberto V. Zicari
Chapter 7 in Artificial Intelligence for Sustainable Value Creation, 2021, pp 151-171 from Edward Elgar Publishing
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®, 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.
Keywords: Business and Management; Economics and Finance; Innovations and Technology (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781839104381/9781839104381.00018.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:19629_7
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().