Commons Sense

House of Commons · General Debate

Automated Facial Recognition Surveillance

27 January 2020 · 27 other contributors

Opened by Sarah Olney Lib Dem Richmond Park

Summarised by AI from the official record, so it can contain mistakes.

At a glance

Sarah Olney raised concerns about automated facial recognition surveillance in the House of Commons. A government minister responded. Other MPs also contributed.

Key points

  • Concerns raised over potential misuse and inaccuracies of live facial recognition technology by the police
  • Minister defended the technology as a necessary tool for fighting crime with improvements in accuracy
  • Emphasised strict legal frameworks and transparency through democratic scrutiny for the use of the technology

How the debate unfolded

MPs spoke in turn to share their views and ask questions. Here's what each person said.

Opened the debate

Sarah Olney Lib Dem Richmond Park

Expressed concerns over the potential misuse and inaccuracies associated with the police's use of live facial recognition technology, highlighting issues related to human rights, privacy, and increased discrimination against BAME communities.

Other contributors (27)
  • Kit Malthouse Con North West Hampshire

    Defended the government's support for live facial recognition technology as a tool to help identify violent criminals. Emphasised adherence to legal frameworks, data protection measures, and transparency in operations.

  • Sarah Olney Lib Dem Richmond Park

    Called for caution regarding the roll-out of live facial recognition technology, questioning its legality, accuracy, and potential discriminatory impacts. Raised concerns about privacy rights and trust within BAME communities.

  • Desmond Swayne Con New Forest West

    Questioned whether there is a difference in one's legal status if identified by a police officer or software, suggesting that the method of identification does not alter rights.

  • Diane Abbott Ind Hackney North and Stoke Newington

    Acknowledged facial recognition technology's potential but expressed doubt about current safeguards. Highlighted risks of inaccuracies leading to wrongful accusations, particularly for black people and women.

  • Inquired how the proportionate use of facial recognition could assist in tackling serious crimes like county lines drug offending.

  • Joanna Cherry SNP Edinburgh South West

    Expressed concerns about automated facial recognition technology's impact on privacy, freedoms, and potential for bias. Emphasised the need for a comprehensive legislative framework with strong oversight to ensure human rights are respected. Questioned the effectiveness of AFR in fighting crime.

  • Kit Malthouse Con North West Hampshire

    Defended the use of automated facial recognition technology as a standard policing technique, highlighting its potential benefits and examples of successful pilots elsewhere. Emphasised that it is used proportionately and with strict legal frameworks to ensure human rights are respected.

  • Tim Loughton Con East Worthing and Shoreham

    Saw the technology as a benefit for fighting crime, particularly in locating missing people quickly. Highlighted the importance of ethical controls and privacy requirements.

  • Darren Jones Lab Bristol North West

    Asked about the biometrics strategy's update to provide a regulatory framework for facial recognition technology. Raised concerns over an outdated strategy potentially at the root of issues with AFR use.

  • Robert Halfon Con Harlow

    Welcomed measures involving facial recognition technology, seeing them as crucial in tackling crime and antisocial behaviour. Asked about its application to address drug running and antisocial behaviour in his constituency.

  • Chi Onwurah Lab Newcastle upon Tyne Central

    Critiqued the potential biases of facial recognition technology based on its design and training data, asking for minimum standards before rollout to prevent unequal outcomes.

  • Alex Chalk Con Chelmsford

    Asked about how the technology could be used during events like the Cheltenham festival to ensure safety from those who might wish to do harm to large numbers of people.

  • Jim Shannon DUP Strangford

    Emphasised the importance of utilising facial recognition technology appropriately where it can prevent crime and apprehend criminals, provided it is used correctly to maintain personal privacy rights.

  • John Whittingdale Con Maldon

    Asked about updates to guidelines for facial recognition considering technological developments. Highlighted the need for transparency in its use.

  • Daniel Zeichner Lab Cambridge

    Called for a cautious approach, emphasising the importance of maintaining public trust and suggested pausing its deployment until proper legal frameworks are established.

  • Kit Malthouse Con North West Hampshire

    The hon. Gentleman is incorrect in stating there is no legal framework for facial recognition technology; the High Court has certified its use and it aligns with recommendations from expert organisations. While we must be agile, we also need to maintain public confidence by being transparent about deployment and results. The police's duty includes identifying wanted criminals quickly and effectively, which this technology can help achieve.

  • Criminals use technology to spread crime; therefore, the Government should work with organisations like Ada Lovelace Institute to ensure ethical guidelines are established for using technology in combating crime.

  • Concerned about potential misuse of facial recognition technology similar to practices seen in Xinjiang, China. Questions whether such technology could be used against people participating in peaceful assemblies, leading to mass surveillance and oppression.

  • Julian Lewis Con New Forest East

    In an age of smartphones and CCTV, privacy in public is already under threat; it’s inevitable that identification technology will advance further. The challenge lies in preserving privacy while ensuring legal frameworks remain intact.

  • Kit Malthouse Con North West Hampshire

    Acknowledges the need to balance technological advancements with privacy concerns. Emphasises the importance of democratic control over technology and transparent data handling, including mechanisms for individuals to seek deletion or amendment of their personal information.

  • Abena Oppong-Asare Lab Erith and Thamesmead

    Raises concerns about the deployment of facial recognition technology infringing upon rights, particularly affecting Muslim women who wear niqabs and potentially being less accurate for ethnic minorities.

  • Kit Malthouse Con North West Hampshire

    Clarifies that no one will be required to remove their niqab or other facial coverings. Stresses the importance of human judgment in determining whether intervention is proportionate after a system match.

  • Highlights data privacy and human rights issues associated with facial recognition technology while acknowledging its usefulness in solving crimes. Suggests Parliament should proactively establish frameworks to accommodate new technologies as they develop.

  • Kit Malthouse Con North West Hampshire

    Agrees on the importance of embracing technological advancements under democratic control and strict legal frameworks. Acknowledges the potential for bias in technology and commits to monitoring and correcting unintended consequences.

  • Neil O'Brien Con Harborough, Oadby and Wigston

    Supports the use of facial recognition technology as a powerful tool against serious crimes like knife crime. Requests reassurance that it will be used proportionately without mass retention of movement data.

  • Kit Malthouse Con North West Hampshire

    Reassures the House about the non-retention of movement data unless evidential requirements are met, and that intervention is only for serious crimes. Emphasises operational independence of the police in deploying this technology.

  • Richard Fuller Con North Bedfordshire

    Highlights the issue of embedding bias in technologies due to early adoption of artificial intelligence, which can disproportionately affect ethnic minority women. Urges the Government to monitor improvements in these technologies as they are adopted.

Government Response

Defended live facial recognition technology's legal framework, accuracy improvements over time, and the necessity for specific intelligence-led deployments. Highlighted governance measures to ensure proportionate use. Defended the use of automated facial recognition technology as a tool for fighting crime, highlighted successful pilots in South Wales and London. Emphasised strict legal frameworks with transparency through democratic scrutiny.

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