Friday, August 6, 2021

Training Artificial Intelligence to not discriminate

The top book review on Amazon reduced Prediction Machines to three propositions: 
  • Artificial Intelligence (AI) is mostly about prediction 
  • The cost and price of prediction is falling, 
  • This will increase demand for complementary skills, like judgement and decision making.
As the cost of developing predictions has fallen, tremendous innovation has followed.  For example, AI can identify tumors with much greater accuracy than humans.  

Whatever the algorithms were seeing, they saw it clearly. The software could still predict patient race with high accuracy when x-rays were degraded so that they were unreadable to even a trained eye, or blurred to remove fine detail.

To see how this could create problems, imagine training AI to diagnose and treat patients.  And imagine that the training set reflected the racial disparities sometimes associated with healthcare, i.e., minorities are under-treated or under-diagnosed relative to non-minorities.  With such a training set, the AI would "learn" to continue the disparate treatment.  

The director of medical imaging research at Royal Adelaide Hospital, calls AI's ability to recognize race “the worst superpower.”

2 comments:

  1. Seems pretty clear race is biologically real and obviously so. Sometimes in straightforward ways, sometimes in subtle and more complex ways. But this obvious truth is anathema to current progressive dominant ideology. So you get hilarious news like scientists who apparently didn't properly explain to the AI the convenient fiction it's meant to pretend to.

    What a silly time we are living in.

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