How to Design AI for Social Good: Seven Essential Factors.
The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited und...
| Publicado en: | Science & Engineering Ethics Vol. 26; no. 3; pp. 1771 - 1797 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Jun2020
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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=143699911&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 143699911 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Jun2020 vid: 26 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 143699911 10.1007/s11948-020-00213-5 ppf: 1771 ppct: 26 formats: fmt: – @attributes: type: T – @attributes: type: P size: 728KB tig: atl: How to Design AI for Social Good: Seven Essential Factors. aug: au: Floridi, Luciano Cowls, Josh King, Thomas C. Taddeo, Mariarosaria affil: Digital Ethics Lab, Oxford Internet Institute, University of Oxford, Oxford, UK The Alan Turing Institute, London, UK su: Artificial intelligence Social intelligence Social problems Information society sug: subj: Artificial intelligence Social intelligence Social problems Information society keyword: AI4SG Ethics Privacy Safety Social good Transparency ab: The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. 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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