Imagen de Portada
Código QR

Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance. This study critically examines 57 policy documen...

Descripción completa

Publicado en:Science & Engineering Ethics Vol. 30; no. 2; pp. 1 - 27
Autor principal: Saheb, Tahereh
Formato: Artículo
Publicado: Springer Nature Apr2024
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=175926364&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 175926364
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        13533452
        GNI
      jtl: Science & Engineering Ethics
      issn: 13533452
      maglogo: N
    pubinfo:
      dt: Apr2024
      vid: 30
      iid: 2
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        175926364
        10.1007/s11948-024-00472-6
      ppf: 1
      ppct: 26
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 3MB
      tig:
        atl: Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.
      aug:
        au: Saheb, Tahereh
        affil:
          School of Business, Menlo College, Atherton, CA, USA
          https://ror.org/03mwgfy56 Faculty of Law, Tarbiat Modares University, Tehran, Iran
      sug:
      keyword:
        Artificial intelligence
        Content analysis
        Ethic
        Government policies
        Topic modeling
      ab: As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance. This study critically examines 57 policy documents pertaining to ethical AI originating from 24 distinct countries, employing a combination of computational text mining methods and qualitative content analysis. The primary objective is to methodically identify common themes throughout these policy documents and perform a comparative analysis of the ways in which various governments give priority to crucial matters. A total of nineteen topics were initially retrieved. Through an iterative coding process, six overarching themes were identified: principles, the protection of personal data, governmental roles and responsibilities, procedural guidelines, governance and monitoring mechanisms, and epistemological considerations. Furthermore, the research revealed 31 ethical dilemmas pertaining to AI that had been overlooked previously but are now emerging. These dilemmas have been referred to in different extents throughout the policy documents. This research makes a scholarly contribution to the expanding field of technology policy formulations at the national level by analyzing similarities and differences among countries. Furthermore, this analysis has practical ramifications for policymakers who are attempting to comprehend prevailing trends and potentially neglected domains that demand focus in the ever-evolving field of artificial intelligence.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Science & Engineering Ethics is a copyright of Springer, 2024. All Rights Reserved.
      item: Science & Engineering Ethics
      holder: Springer Nature
      dt:
        @attributes:
          year: 2024
    holdings:
      @attributes:
        islocal: N