Towards Transparency by Design for Artificial Intelligence.
In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments. With the rise of artificial intelligence (AI) and the abili...
| Publicado en: | Science & Engineering Ethics Vol. 26; no. 6; pp. 3333 - 3362 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=147734340&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 147734340 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: 2020 vid: 26 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 147734340 10.1007/s11948-020-00276-4 ppf: 3333 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 830KB tig: atl: Towards Transparency by Design for Artificial Intelligence. aug: au: Felzmann, Heike Fosch-Villaronga, Eduard Lutz, Christoph Tamò-Larrieux, Aurelia affil: Centre of Bioethical Research and Analysis (COBRA), NUI Galway, Galway, Ireland eLaw Center for Law and Digital Technologies, Leiden University, Leiden, The Netherlands Nordic Centre for Internet and Society (NCIS), BI Norwegian Business School, Oslo, Norway Forschungsinstitut für Arbeit und Arbeitswelten (FAA-HSG), University of St. Gallen, St. Gallen, Switzerland su: Artificial intelligence Design sug: subj: Artificial intelligence Design keyword: Accountability Automated decision-making Ethics Framework Interdisciplinary Transparency ab: In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments. With the rise of artificial intelligence (AI) and the ability of AI systems to make automated and self-learned decisions, a call for transparency of how such systems reach decisions has echoed within academic and policy circles. The term transparency, however, relates to multiple concepts, fulfills many functions, and holds different promises that struggle to be realized in concrete applications. Indeed, the complexity of transparency for ADM shows tension between transparency as a normative ideal and its translation to practical application. To address this tension, we first conduct a review of transparency, analyzing its challenges and limitations concerning automated decision-making practices. We then look at the lessons learned from the development of Privacy by Design, as a basis for developing the Transparency by Design principles. Finally, we propose a set of nine principles to cover relevant contextual, technical, informational, and stakeholder-sensitive considerations. Transparency by Design is a model that helps organizations design transparent AI systems, by integrating these principles in a step-by-step manner and as an ex-ante value, not as an afterthought. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2020. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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