A Multi-Aspectual Requirements Analysis for Artificial Intelligence for Well-being
Thinyane, Mamello and Goldkind, Lauri, "A Multi-Aspectual Requirements Analysis for Artificial Intelligence for Well-being" 2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH), Zurich, 2020/08/31.
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http://dx.doi.org/10.1109/REWBAH51211.2020.00008 Full text from publisher -
Sub-type Conference paper Author Thinyane, Mamello
Goldkind, LauriTitle A Multi-Aspectual Requirements Analysis for Artificial Intelligence for Well-being Publication Date 2020-08-31 Publisher IEEE Pages 11-18 Title of Event 2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH) Date of Event 2020/08/31 Place of Event Zurich Language eng Abstract To establish the effectiveness of diverse instruments for informing AI for well-being solutions, it is necessary to have normative analysis and evaluation frameworks that recognize the innate complexity and multidimensionality of human well-being. This paper presents Herman Dooyeweerd's philosophy as one such framework and provides a formulation of well-being informed by his Theory of Aspects and his “simultaneous realization of norms” principle. It then presents a multi-aspectual analysis of AI Ethics frameworks to illustrate and suggest a mechanism that can be employed across diverse contexts and domains for requirement analysis and requirements refinement for technology solutions in general, but specifically for AI for well-being solutions. Keyword Multi-Aspectual Analysis
Requirements Analysis
Goal Analysis
instruments
Artificial Intelligence and Ethics
WellbeingCopyright Holder The Authors Copyright Year 2020 Copyright type Creative commons ISBN 9781728183558 DOI 10.1109/REWBAH51211.2020.00008 -
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