View in EDS PDF Full Text

Recognised and Harmed: A Classification Approach to Facial Recognition Technologies

Saved in:
Bibliographic Details
Title: Recognised and Harmed: A Classification Approach to Facial Recognition Technologies
Description: Private face recognition technologies are increasingly entering the private and public sphere, with no adequate checks and balances. This comprehensive and important new reference work explores crucial regulatory challenges, stemming from the use of private face recognition technologies in Europe. After detecting technological neutrality in law, legal uncertainty in case law and the risk of over-surveillance, it recommends an ex ante and targeted classification approach with a view to minimising privacy harms. Under the proposed scheme, an expert agency can scrutinise a given technology, balance conflicting stakes, classify that technological use and, finally, give a ‘go', ‘no-go'or ‘go-in-condition'decision, before its actual implementation in the real-world. Recommended for legal and technology researchers and scholars focusing on surveillance and privacy, as well as government, regulatory and civil rights agencies.
Authors: Georgios Bouchagiar, Author
Resource Type: eBook.
Subjects: Privacy, Right of, Human face recognition (Computer science)
Categories: LAW / Privacy
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3740872
RelevancyScore: 1116
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1116.28857421875
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3740872$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3740872$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Recognised and Harmed: A Classification Approach to Facial Recognition Technologies
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Private face recognition technologies are increasingly entering the private and public sphere, with no adequate checks and balances. This comprehensive and important new reference work explores crucial regulatory challenges, stemming from the use of private face recognition technologies in Europe. After detecting technological neutrality in law, legal uncertainty in case law and the risk of over-surveillance, it recommends an ex ante and targeted classification approach with a view to minimising privacy harms. Under the proposed scheme, an expert agency can scrutinise a given technology, balance conflicting stakes, classify that technological use and, finally, give a ‘go', ‘no-go'or ‘go-in-condition'decision, before its actual implementation in the real-world. Recommended for legal and technology researchers and scholars focusing on surveillance and privacy, as well as government, regulatory and civil rights agencies.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Georgios+Bouchagiar%2C+Author%22">Georgios Bouchagiar, Author</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Privacy%2C+Right+of%22">Privacy, Right of</searchLink><br /><searchLink fieldCode="DE" term="%22Human+face+recognition+%28Computer+science%29%22">Human face recognition (Computer science)</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22LAW+%2F+Privacy%22">LAW / Privacy</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3740872
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.4
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Privacy, Right of
        Type: general
      – SubjectFull: Human face recognition (Computer science)
        Type: general
    Titles:
      – TitleFull: Recognised and Harmed: A Classification Approach to Facial Recognition Technologies
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Georgios Bouchagiar, Author
      – PersonEntity:
          Name:
            NameFull: Georgios Bouchagiar, Author
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 19
              M: 01
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9781804412961
            – Type: isbn-electronic
              Value: 9781804412978
          Titles:
            – TitleFull: Recognised and Harmed: A Classification Approach to Facial Recognition Technologies
              Type: main
ResultId 1