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)

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)

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)

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) https://ift.tt/3nqbHzs

Lilah Burke / Inside Higher Ed:
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  —  U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science.


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