The Algorithmic Auditing Trap.
‘Bias audits’ for discriminatory tools are a promising idea, but current approaches leave much to be desired This op-ed was written by Mona Sloane, a sociologist and senior research scientist at the NYU Center for Responsible A.I. and a fellow at the NYU Institute for Public Knowledge. Her work focuses on design and inequality in the context of algorithms and artificial intelligence. We have a new A.I. race on our hands : the race to define and steer what it means to audit algorithms. (...)