Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects

Cerqueira, José Antonio Siqueira de; Althoff, Lucas dos Santos; Almeida, Paulo Santos de; Canedo, Edna Dias

doi:10.24251/hicss.2021.639

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…In this next step, we identified the tools that will be presented in the content of the cards. We explore the tools identified in our previous work [12], where only 21 tools that assist the implementation of AI ethics were highlighted. In this work, the tools were mapped with principles and ethical issues presented by Ryan and Stahl -the resultant relation to selected principles are presented in Table 4 of our supplementary material https://zenodo.org/record/5520174.…”

Section: Tools That Assist the Implementation Of Ai Ethicsmentioning

confidence: 99%

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Guide for Artificial Intelligence Ethical Requirements Elicitation - RE4AI Ethical Guide

Cerqueira¹,

Azevedo²,

Leão³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Development and use of Artificial Intelligence (AI) based systems are growing at a fast pace in our society, simultaneously ethical concerns are arising from them. Addressing AI ethics is a continual issue and has provoked much debate among researchers. The aim of this work is to provide a Guide for Artificial Intelligence Ethical Requirements Elicitation (RE4AI Ethical Guide). The Design Science Research methodology was adopted in order to understand the problem, develop a prototype and evaluate it through a survey. The proposed Guide, composed of 26 cards along 11 ethical principles, is both useful and practical and can help in the elicitation of ethical requirements for AI in the context of agile development. Our preliminary results reveal that the Guide contributes to bridging the gap between high-level and abstract principles and practice by assisting developers and Product Owners to elicit ethical requirements and implement ethics in AI.

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Section: Tools That Assist the Implementation Of Ai Ethicsmentioning

confidence: 99%

“…Additional non-exhaustive concepts, background and literature review relevant to understand the context of this work are provided in our previous study [12], considering that this paper is a continuation of our preceding study.…”

Section: Introductionmentioning

confidence: 99%