Neural Network Learns to Identify Criminals by Their Faces

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    • #1949
      Anna Clark
      Participant

      MIT Technology Review, 11/22/2016

      Researchers from Jiao Tong University in China have applied facial recognition algorithms to guess whether a person has a criminal history based upon their unique set of facial features. The algorithms achieved nearly 90% accuracy. Questions arise around the legality and ethics of how such a technology might be applied.

      [See the full post at: Neural Network Learns to Identify Criminals by Their Faces]

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