Anthropomorphism in AI.
AI research is growing rapidly raising various ethical issues related to safety, risks, and other effects widely discussed in the literature. We believe that in order to adequately address those issues and engage in a productive normative discussion it is necessary to examine key concepts and catego...
| Publicado en: | AJOB Neuroscience Vol. 11; no. 2; pp. 88 - 96 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr-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=ccm&AN=142513149&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142513149 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 21507740 AXT1 jtl: AJOB Neuroscience issn: 21507740 maglogo: Y pubinfo: dt: Apr-Jun2020 vid: 11 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 142513149 10.1080/21507740.2020.1740350 142513149 ppf: 88 ppct: 8 formats: tig: atl: Anthropomorphism in AI. aug: au: Salles, Arleen Evers, Kathinka Farisco, Michele affil: Uppsala University sug: subj: Anthropometry Artificial Intelligence Neuroscience Care Research, Medical ab: AI research is growing rapidly raising various ethical issues related to safety, risks, and other effects widely discussed in the literature. We believe that in order to adequately address those issues and engage in a productive normative discussion it is necessary to examine key concepts and categories. One such category is anthropomorphism. It is a well-known fact that AI's functionalities and innovations are often anthropomorphized (i.e., described and conceived as characterized by human traits). The general public's anthropomorphic attitudes and some of their ethical consequences (particularly in the context of social robots and their interaction with humans) have been widely discussed in the literature. However, how anthropomorphism permeates AI research itself (i.e., in the very language of computer scientists, designers, and programmers), and what the epistemological and ethical consequences of this might be have received less attention. In this paper we explore this issue. We first set the methodological/theoretical stage, making a distinction between a normative and a conceptual approach to the issues. Next, after a brief analysis of anthropomorphism and its manifestations in the public, we explore its presence within AI research with a particular focus on brain-inspired AI. Finally, on the basis of our analysis, we identify some potential epistemological and ethical consequences of the use of anthropomorphic language and discourse within the AI research community, thus reinforcing the need of complementing the practical with a conceptual analysis. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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