The Real Risks of Artificial Intelligence: Incidents from the early days of AI research are instructive in the current AI environment.
The article discusses risks associated with the use of artificial intelligence (AI) in computer programming. Topics include concerns regarding AI replacing people in various fields and specialized professions, the possibility of AI methods using heuristic programming to lead to untrustworthy or dang...
| Publicado en: | Communications of the ACM Vol. 60; no. 10; pp. 27 - 32 |
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| Formato: | Artículo |
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Association for Computing Machinery
Oct2017
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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=125351611&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 125351611 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Oct2017 vid: 60 iid: 10 pid: 68 pub: Association for Computing Machinery artinfo: ui: 125351611 10.1145/3132724 ppf: 27 ppct: 5 formats: tig: atl: The Real Risks of Artificial Intelligence: Incidents from the early days of AI research are instructive in the current AI environment. aug: au: Parnas, David Lorge affil: Middle Road Software, Inc., in Ottawa, Canada. Professor Emeritus at McMaster University in Canada. Professor Emeritus, University of Limerick in Ireland. su: Artificial intelligence Computer programming Heuristic programming Artificial neural networks Human-artificial intelligence interaction sug: subj: Artificial intelligence Computer programming Heuristic programming Artificial neural networks Human-artificial intelligence interaction ab: The article discusses risks associated with the use of artificial intelligence (AI) in computer programming. Topics include concerns regarding AI replacing people in various fields and specialized professions, the possibility of AI methods using heuristic programming to lead to untrustworthy or dangerous devices and systems, and the appeal of artificial neural networks despite their inability to perform tasks more efficiently than conventional programs. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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