the3million calls for openness about data errors before people are targeted

the3millionEU citizens' rights organization, through research and policy manager Kaelynn Narita

Mixed or conditional

Kaelynn Narita of the3million says the Home Office must be open about how it finds and corrects errors before using the data to target people.

“Before using this data to target people, the Home Office must be open about how it identifies and corrects errors in its caseworking systems.”

Reporting

Open source (opens in a new tab)UK extends facial recognition to civil immigration offencesCivil society reactions and watchlist creation concerns

Where this statement fits

Home Office justifies immigration facial recognition; Big Brother Watch and the3million raise concerns

Home Office documents published in October 2026 describe live facial recognition for Immigration Enforcement, including administrative immigration activity beyond ports of entry. The department's impact assessment argues that the use is necessary and proportionate in specified circumstances, with restricted watchlists and human review. Big Brother Watch's Jake Hurfurt criticizes the expansion into suspected administrative breaches. Kaelynn Narita of the3million warns that if watchlists draw from the same databases as earlier erroneous immigration records, people could be wrongly flagged or stopped. She says the Home Office must explain how it finds and corrects errors before using the data to target people.

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Source and context

Reporting

UK extends facial recognition to civil immigration offences (opens in a new tab)Civil society reactions and watchlist creation concerns

About this source

The report quotes Jake Hurfurt for Big Brother Watch and Kaelynn Narita for the3million. The government's written policy supplies its stated position.

Before the quotation

Narita cites earlier eVisa errors and warns that using the same databases for watchlists could wrongly flag or stop people.

After the quotation

Computer Weekly reports that it asked the Home Office about identifying and correcting database errors but received no response.

How this statement is classified

Mixed or conditional

The label describes this statement's response within the context above.

Why this label?

Narita conditions use on openness about error correction and warns of wrongful flags, rather than opposing the use outright.

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Publisher
The Dispute Index
Title
the3million calls for openness about data errors before people are targeted
First published
Last updated
Permalink
https://disputeindex.com/events/7472-kaelynn-narita-of-the3million-says-the-home-office

Last updated marks the most recent saved version of this published statement.

The Dispute Index. "the3million calls for openness about data errors before people are targeted". First published: 2026-10-31. Last updated: 2026-10-31. https://disputeindex.com/events/7472-kaelynn-narita-of-the3million-says-the-home-office