New algorithm picks fairer shortlist when applicants abound
October 30, 2024
October 30, 2024
ITHACA, New York, Oct. 30 -- Cornell University issued the following news:
Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.
While humans still make many high-stakes decisions like who should get a job, admission to college or a spot in a clinical trial artificial intelligence (AI) models are increasingly used to narrow down the applicants into a . . .
Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.
While humans still make many high-stakes decisions like who should get a job, admission to college or a spot in a clinical trial artificial intelligence (AI) models are increasingly used to narrow down the applicants into a . . .