/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

← → days · ↑ ↓ browse · Enter similar · o open

Chinese officials are gathering blood samples from Uighurs in a mass DNA collection effort for use by scientists researching using DNA to map facial images

Beijing's pursuit of control over a Muslim ethnic group pushes the rules of science and raises questions about consent.

New York Times

Context & Ripple Effects

The DNA-to-face research lands on top of an already-built surveillance stack in Xinjiang. Human Rights Watch had already documented big-data predictive policing feeding re-education camps in 2018, and reporting since then traced how China compiled a global registry of Uighurs abroad and deployed the first widely used ethnic-specific face tracking system.

What is new here is the data layer underneath: blood samples gathered from Uighurs themselves give scientists a way to generate faces from genes, which would let authorities match people who have no photo on file. It extends a pipeline that earlier in 2019 was found exposed in an unsecured database of 2.5M+ Uyghur records with ID card and near real-time GPS data.

First-order effects

  • Uighurs in Xinjiang are being sampled without meaningful consent, adding genetic data to the biometric profile — ID records, faces, location — the state already maintains on them.

Second-order effects

  • If DNA-to-face mapping matures, it plugs into the existing face-tracking infrastructure reported in April 2019, letting authorities identify individuals whose faces were never enrolled — widening the net from registered persons to anyone encountered.

Third-order effects

  • The case becomes a test for the international research establishment: journals, universities, and funders must decide whether work built on state-coerced biometric collections is publishable or sanctionable, setting precedents that govern all future government-genomics partnerships.

The trend: State biometric surveillance is moving down the stack from faces and behavior to DNA itself, forcing science governance bodies to confront coerced data as a training corpus.

Discussion

  • @paulmozur @paulmozur on x
    In Xinjiang, Chinese police are using the blood and faces of an oppressed minority to craft dystopian technologies that may not even work. For years, they've been publishing their findings in respected international journals. W/ @suilee https://www.nytimes.com/...
  • @senrickscott Rick Scott on x
    This is yet another example of Communist China's human rights abuses against the Uyghurs. It also shows the effort China is making to expand their surveillance state to crack on protests and dissidents. The world needs to wake up. https://twitter.com/...
  • @hardmaru @hardmaru on x
    “Growing numbers of scientists and human rights activists say the Chinese government is exploiting the openness of the international scientific community to harness research into the human genome for questionable purposes.” What can possibly go wrong? https://www.nytimes.com/...
  • @nytimes @nytimes on x
    It sounds like science fiction, but it isn't: China wants to use DNA to reconstruct images of people's faces, creating a new way to track humans. To do this, China's police used samples from a repressed minority, the Uighurs, raising ethical questions. https://www.nytimes.com/...
  • @hardmaru @hardmaru on x
    This article is painfully difficult to read as a researcher. I can see how ML will be naturally incorporated in the next phase. I recommend reading the article, especially before writing your next grant proposal. Excellent reporting by @suilee @paulmozur https://twitter.com/...
  • @lizthegrey Liz Fong-Jones on x
    Questions from the class about why we fought so hard to make Google #DropDragonfly? https://twitter.com/...
  • @gerryshih Gerry Shih on x
    DNA-generated facial prediction, Western academic complicity — a story/thread so mind-bending that the video of a razed village might be (at risk of sounding insensitive)...the least surprising part. https://twitter.com/...
  • @rollandnadege Nadge Rolland on x
    When you thought reports from Xinjiang couldn't get worse https://twitter.com/...