Chapter 9: Historical Evidence, Artificial Intelligence, and the Black BoxEffect.
The article delves into the challenges posed by algorithmic systems, using the case of State v. Loomis to illustrate the difficulties of accessing and interpreting historical evidence in the age of artificial intelligence (AI). It explores the concept of the "black box effect," highlighting how AI s...
| Publicado en: | Transactions of the American Philosophical Society Vol. 112; no. 3; pp. 175 - 201 |
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| Formato: | Artículo |
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University of Pennsylvania Press
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=175657524&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 175657524 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00659746 2HU jtl: Transactions of the American Philosophical Society issn: 00659746 maglogo: N pubinfo: dt: 2023 vid: 112 iid: 3 pid: 4636 pub: University of Pennsylvania Press artinfo: ui: 175657524 10.1353/tap.2023.a918773 ppf: 175 ppct: 26 formats: fmt: @attributes: type: P size: 3.1MB tig: atl: Chapter 9: Historical Evidence, Artificial Intelligence, and the Black BoxEffect. aug: au: Sternfeld, Joshua su: Artificial intelligence Social science methodology Machine learning Scientific knowledge Human facial recognition software Social isolation sug: subj: Artificial intelligence Social science methodology Machine learning Scientific knowledge Human facial recognition software Social isolation ab: The article delves into the challenges posed by algorithmic systems, using the case of State v. Loomis to illustrate the difficulties of accessing and interpreting historical evidence in the age of artificial intelligence (AI). It explores the concept of the "black box effect," highlighting how AI systems often operate opaquely, rendering their processes and data inaccessible to human observers. It proposes a historical methodology for studying AI systems as black boxes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Transactions of the American Philosophical Society is the property of University of Pennsylvania Press 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: Transactions of the American Philosophical Society holder: University of Pennsylvania Press dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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