Go to Wolters Kluwer VitalLaw.comGo to Wolters Kluwer VitalLaw.com
VitalLaw®
  • Find answers to your questions
  • Log in to access your subscriptions
In depth. On point.
In depth. On point.
  • Home
  • Legal Directory
  • Home
  • Legal Directory
In depth. On point.
  • Articles
  • Articles
  • Organizations
  • Organizations
    • Defense Bill Would Require New Cyber Requirements for Some DoD Telecom Contracts
    • Defense Bill Seeks to Discourage Government Support for ‘Malicious’ Spyware
    • EDPB Provides Advice on Legal Basis for Creation of Online User Accounts
    • FCC Enforcement Bureau Orders Chinese Firms to Cure Robocall Deficiencies
    • House Bill Seeks Collaboration on Children’s Online Privacy, Safety
    • Meta’s New Personalized Ad Model to Get EC Scrutiny
    • Network Risk Assessment Recommendations Published for Comment in China
    • State AG Task Force Sends Robocall Warning Letters
    • U.K. Privacy Agency Comments on Facial Recognition Technology Report
  • Articles
  • Articles
  • Organizations
  • Organizations

    Cybersecurity Policy Report, U.K. Privacy Agency Comments on Facial Recognition Technology Report, (Dec 8, 2025)

    By Tony Foley

    In a statement released Friday, the United Kingdom’s Information Commissioner’s Office (ICO) asked the U.K. Home Office to clarify the results of a recently published report from the National Physical Laboratory (NPL) on potential histo ...

    By Tony Foley

    In a statement released Friday, the United Kingdom’s Information Commissioner’s Office (ICO) asked the U.K. Home Office to clarify the results of a recently published report from the National Physical Laboratory (NPL) on potential historical bias in the facial recognition algorithm used by police forces for retrospective facial recognition within the Police National Database (PND).

    Retrospective facial recognition is used after an event or incident as part of a criminal investigation in which specially trained operators visually assess images returned from the PND and, when confirming a facial match, pass the image on to an investigating officer who reviews it for accuracy. The Home Office commissioned independent testing of the system by NPL to help police better understand and mitigate bias and to inform future investment decisions. The report, available for download from this webpage, found that facial recognition technology was more likely to incorrectly include certain demographic groups, including Asian and Black people, in its search results.

    In the statement, ICO Deputy Commissioner Emily Keaney expressed concern that ICO had not been told about the Home Office’s decision to conduct its investigation. “We acknowledge that measures are being taken to address this bias. However, it's disappointing that we had not previously been told about this, despite regular engagement with the Home Office and police bodies as part of our wider work to hold government and the public sector to account on how data is being used in their services,” she said. “While we appreciate the valuable role technology can play, public confidence in its use is paramount, and any perception of bias and discrimination can exacerbate mistrust. The ICO is here to support and assist the public sector to get this right. We have asked the Home Office for urgent clarity on this matter so we can assess the situation and consider our next steps.”

    News: InternationalLegislation DataPrivacy

    © 2026 CCH Incorporated and its affiliates and licensors. All rights reserved.

    • Manage Cookie Preferences
    • Privacy Statement
    • Terms of Use