Artificially intelligent hiring tools have not recently deducted bias, or enhanced diversity, as researchers have claimed. The very usage of AI has just been broadly, and overtly prevalent – but it’s analysis of candidate videos or their applications is just a segment of “pseudoscience”.
“There is growing interest in new ways of solving problems such as interview bias,” as per what Cambridge University researchers in the journal Philosophy and Technology have recently mentioned.
Artificial intelligence was thought to be one of the beneficial sectors in science that could broadly help eliminate bias from hiring. However, contrary to what it should have been doing, AI might not have solved the problem many were looking for answers for.
AI holds the biggest promise for the elimination bias today. Like any and every technology, Artificial Intelligence (AI) is widely able to yield both good and bad outcomes. However, the public remained more focused on the bad side, especially since it encircled the potential of bias in AI.
Artificial Intelligence and the concern around it is both well-founded and well-documented. AI is known as a simulation of human methods crafted and taken forward by machines. A variety of studies has shown that AI run processes often led to significant unconscious bias against minorities, women and older workers. In fact, due to the recruiting bias, a large pool of applicants are ignored today.
It is unnaturally frightful being ignored without even being considered by initial review. Many applicants, thus, have faced this more often than not. However, instead of reducing recruitment bias, Artificial Intelligence (AI) significantly fueled a bias not many anticipated prior.
“These tools can’t be trained to only identify job-related characteristics and strip out gender and race from the hiring process, because the kinds of attributes we think are essential for being a good employee are inherently bound up with gender and race,” Dr Kerry Mackereth, University of Cambridge’s Centre for Gender Studies post-doctoral researcher, once mentioned.