Cover Image
QR Code

Computational Ethics Tools to Audit Corporate Self-Governance in Data Processing.

Published in:American Journal of Bioethics Vol. 23; no. 11; pp. 42 - 45
Main Authors: Deeney, Christine R., Kostick-Quenet, Kristin
Format: Journal Article
Published: Taylor & Francis Ltd Nov2023
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=173227784&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 173227784
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        15265161
        FKZ
      jtl: American Journal of Bioethics
      issn: 15265161
      maglogo: N
    pubinfo:
      dt: Nov2023
      vid: 23
      iid: 11
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        173227784
        10.1080/15265161.2023.2256258
        173227784
      ppf: 42
      ppct: 3
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Computational Ethics Tools to Audit Corporate Self-Governance in Data Processing.
      aug:
        au:
          Deeney, Christine R.
          Kostick-Quenet, Kristin
        affil: Baylor College of Medicine
      sug:
        subj:
          Professional Autonomy
          Audit
          Bar Coding
          Data Analysis, Computer Assisted Ethical Issues
          Privacy and Confidentiality
          Organizational Culture
          Self Report
          Accountability
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N