A Conditional Defense of the Use of Algorithms in Criminal Sentencing.
The presence of predictive AI has steadily expanded into ever-increasing aspects of civil society. I aim to show that despite reasons for believing the use of such systems is currently problematic, these worries give no indication of their future potential. I argue that the absence of moral limits o...
| Publicado en: | Techné: Research in Philosophy & Technology Vol. 27; no. 1; pp. 1 - 21 |
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| Formato: | Artículo |
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Philosophy Documentation Center
2023
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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=171295426&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171295426 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01617249 2Y0N jtl: Techné: Research in Philosophy & Technology issn: 01617249 maglogo: N pubinfo: dt: 2023 vid: 27 iid: 1 pid: 2411 pub: Philosophy Documentation Center artinfo: ui: 171295426 10.5840/techne2023327176 ppf: 1 ppct: 20 formats: fmt: @attributes: type: P size: 1.9MB tig: atl: A Conditional Defense of the Use of Algorithms in Criminal Sentencing. aug: au: Daley, Ken affil: Southern Methodist University, Philosophy Department, Hyer Hall Rm 207, Dallas, TX 75205 su: Criminal sentencing Algorithms Maxima & minima Civil society Artificial intelligence sug: subj: Criminal sentencing Algorithms Maxima & minima Civil society Artificial intelligence keyword: artificial intelligence bias criminal sentencing opacity Predictive algorithms race ab: The presence of predictive AI has steadily expanded into ever-increasing aspects of civil society. I aim to show that despite reasons for believing the use of such systems is currently problematic, these worries give no indication of their future potential. I argue that the absence of moral limits on how we might manipulate automated systems, together with the likelihood that they are more easily manipulated in the relevant ways than humans, suggests that such systems will eventually outstrip the human ability to make accurate judgments and unbiased predictions. I begin with some reasonable justifications for the use of predictive AI. I then discuss two of the most significant reasons for believing the use of such systems is currently problematic before arguing that neither provides sufficient reason against such systems being superior in the future. In fact, there's reason to believe they can, in principle, be preferable to human decision-makers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Techné: Research in Philosophy & Technology is the property of Philosophy Documentation Center and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Techné: Research in Philosophy & Technology holder: Philosophy Documentation Center dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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