Use of face-scanning technology can disadvantage black and dark skinned people.
Computer vision technology have a harder time recognising people with darker skin or from an Asian background. One main reason for this is that the datasets used by companies to train facial analysis software use mainly white examples and are not truly representative of diversity in society.
Despite this limitation in the technology, the implementation of automated recruitment software is on the rise and the number of companies that use them is rapidly increasingly. The use of skewed algorithms could lead to racial disparities in recruitment.
HireVue claims it uses artificial intelligence to decide who’s best for a job. Outside experts call it “profoundly disturbing.” An article about HireVue’s “AI-driven assessments”. More than 100 employers now use the system, including Hilton and Unilever, and more than a million job seekers have been analysed.
Read More
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification – MIT Media Lab Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present an approach to e… ccording to this paper researchers from MIT and Stanford University, three commercially released facial-analysis programs from major […]
Read More