22 Matching Annotations
  1. Jan 2022
    1. is “machine learning” happens on such an enormous scale— human behavior is defined by countless disparate pieces of data — that it can produceunexpected behavior of its own.

      replicability, transparency

    2. maximize the money coming their way.Warnings of a Dark Side to A.I. in Health CareWarnings of a Dark Side to A.I. in Health Care - The New York Times https://www.nytimes.com/2019/03/21/science/health-medicine-artificial-i...

      bias, ethics

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    1. Thanks to data-sharing agreementsbetween Humetrix, the Centers forMedicare and Medicaid Services, and theHealth and Human Services Department,

      transparency

    2. Humetrix

      equity, whose funding this? what is this corporations role and what are their incentives to do this transparency: with what permissions are this data being moved

    3. 300-pagereports

      ethics/transparency seems like a violation of privacy, even if it is for 'good' intentions prevention care can have biases; who receives this care

    4. o other healthcareorganization has a pathology database of this magnitude.

      bias, with what intentions is this being used for and for what purpose? whose backing them?

    5. algorithms from some of this portfolio to help improve diagnoses and to researchnew therapeutics,” he says. “It’s akin to the human genome project in scale andlong-term importance

      replicability, how is this process replicable in other areas of study

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