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UT Austin has stopped using a ML-based system called GRADE to evaluate applicants for its Ph.D. in CS following backlash, seven years after first introducing it

Lilah Burke / Inside Higher Ed : Tweets: @susanschorn , @microbiomdigest , and @hypervisible Tweets: @susanschorn : Holy fucking shit, this was in use for SEVEN YEARS???? U of Texas will stop using controversial algorithm to evaluate Ph.D. applicants https://www.insidehighered.com/ ... Elisabeth Bik / @microbiomdigest : U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field. https://www.insidehighered.com/ ... @hypervisible : “The UT researchers who made GRADE trained it on a database of past admissions decisions. The system uses patterns from those decisions to calculate its scores for candidates.” 🤯🤬 https://twitter.com/...

Inside Higher Ed Lilah Burke

Discussion

  • @susanschorn @susanschorn on x
    Holy fucking shit, this was in use for SEVEN YEARS???? U of Texas will stop using controversial algorithm to evaluate Ph.D. applicants https://www.insidehighered.com/ ...
  • @microbiomdigest Elisabeth Bik on x
    U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field. https://www.insidehighered.com/ ...
  • @hypervisible @hypervisible on x
    “The UT researchers who made GRADE trained it on a database of past admissions decisions. The system uses patterns from those decisions to calculate its scores for candidates.” 🤯🤬 https://twitter.com/...