From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices.
The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in Science, 132(3429):741–742, 1960. 10.1126/science.132.3429.741; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years...
| Published in: | Science & Engineering Ethics Vol. 26; no. 4; pp. 2141 - 2169 |
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| Main Authors: | , , , |
| Format: | Article |
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Springer Nature
Aug2020
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145047211&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145047211 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Aug2020 vid: 26 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 145047211 10.1007/s11948-019-00165-5 ppf: 2141 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: P size: 912KB tig: atl: From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices. aug: au: Morley, Jessica Floridi, Luciano Kinsey, Libby Elhalal, Anat affil: Oxford Internet Institute, University of Oxford, 1 St Giles', OX1 3JS, Oxford, UK Alan Turing Institute, British Library, 96 Euston Rd, NW1 2DB, London, UK Digital Catapult, 101 Euston Road, Kings Cross, NW1 2RA, London, UK su: Animal communication Artificial intelligence Machine learning Cybernetics Ethics sug: subj: Animal communication Artificial intelligence Machine learning Cybernetics Ethics keyword: Applied ethics Data governance Digital ethics Ethics of AI Governance ab: The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in Science, 132(3429):741–742, 1960. 10.1126/science.132.3429.741; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by (Deep) Neural Networks and Machine Learning (ML) techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the 'what' of AI ethics (beneficence, non-maleficence, autonomy, justice and explicability)—rather than on practices, the 'how.' Awareness of the potential issues is increasing at a fast rate, but the AI community's ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. 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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