Beautiful people beautiful problems review

Insight CenterД«uilding fair and equitable machine learning systems.Д«roadly speaking, the beauty bias concerns the favorable treatment that individuals receive when they are deemed more attractive, regardless of whether this happens consciously or unconsciously - and of course few individuals, let alone employers, actually admit to preferring to work with others on the basis of their higher levels of attractiveness. As a comprehensive academic review summarized: вЂњPhysically attractive individuals are more likely to be interviewed for jobs and hired, they are more likely to advance rapidly in their careers through frequent promotions, and they earn higher wages than unattractive individuals.вЂќ Common manifestations of appearance-based discrimination may include bias against obese, oddly-dressed, or tattooed candidates, or any people who donвЂ™t fit a societyвЂ™s dominant aesthetic criteria.

For example, meta-analytic studies have long highlighted the pervasive nature of bias in hiring and recruitment.Д®ven in the rich and liberal world, there are many biases at play in the workplace, which account for the unmeritocratic or unfair advantage that some groups have over others, irrespective of their actual talent or potential: sexism, racism, and ageism, to name just a few.Д«ut one of the most prominent biases is hardly ever discussed or acknowledged, namely the beauty bias - also known as вЂњlookism.вЂќВ Indeed, the existence of a beauty premium in the labor market is well-documented. One reason for the widespread interest in AI is that it has the potential to reduce the degree of bias underpinning human decisions.

Beautiful people beautiful problems review