Are Hiring Algorithms Fair? They're Too Opaque to Tell, Study Finds: Cornell University
November 20, 2019
November 20, 2019
ITHACA, New York, Nov. 20 -- Cornell University issued the following news:
Time is money and, unfortunately for companies, hiring new employees takes significant time - more than a month on average, research shows.
Hiring decisions are also rife with human bias, leading some organizations to hand off at least part of their employee searches to outside tech companies who screen applicants with machine learning algorithms. If humans have such a hard time finding the best . . .
Time is money and, unfortunately for companies, hiring new employees takes significant time - more than a month on average, research shows.
Hiring decisions are also rife with human bias, leading some organizations to hand off at least part of their employee searches to outside tech companies who screen applicants with machine learning algorithms. If humans have such a hard time finding the best . . .