Technology Has a Race Problem

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Technology Has a Race Problem
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And we should all care

When Nikon’s S630 digital camera was released in 2010, customers soon realized it had a hard time “reading” Asian faces. The device couldn’t detect Asian eyes, so it would prompt users to stop blinking or squinting in order to take the perfect picture. A few years later, Google faced intense backlash when its photo software, which is used on everything from computers to phones, categorized Black people as “gorillas.

“Physical and digital realities are different, obviously, but we’re seeing similar practices or discrimination that happen in the physical world being replicated in digital environments,” explains Nasma Ahmed, director of Canada’s Digital Justice Lab. “We have to be thinking about the larger systemic issues that are occurring in our society [racism, sexism, discrimination] and how that feeds into the tools we’re creating.

He isn’t wrong. ProPublica recently discovered companies were circumventing certain legislation by showcasing jobs and real estate to individuals based on their race or gender. A Cornell University study also found dismaying results when it came to men and women online. Researchers published a 2014 report that found Google’s online ad system was more likely to show high-income jobs to men than women.

As AI-influenced technology gets smarter and smarter and moves from the hypothetical into the real world it could lead to real-life consequences. Here’s how it works: Machines are only as good as the data it receives. If you give computers imperfect or biased datasets, it’s likely the results it comes up with be less than helpful.

“Despite the increased focus on workforce diversity, employee retention tends to be overlooked in the analyses of diversity within tech companies and the ecosystem as a whole,” the report stated. “… Put simply, the diversity numbers may not be changing at least in part because tech companies have become a revolving door for underrepresented groups. Without a nuanced and accurate analysis of the problem, and a comprehensive roadmap for solutions, these disparities will remain largely unchanged.

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