The 6 unholy AI systems thou shalt not develop

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TLDR; don’t pretend a Magic 8 Ball is a useful tool for grownups and don’t build hate machines

Artificial intelligence may be the most powerful tool humans have. When applied properly to a problem suited for it, AI allows humans to do amazing things. We can diagnose cancer at a glance or give a voice to those who cannot speak by simply applying the right algorithm in the correct way.

But AI isn’t a panacea or cure-all. In fact, when improperly applied, it’s a dangerous snake oil that should be avoided at all costs. To that end, I present six types of AI that I believe ethical developers should avoid.

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Men in creative jobs are described very differently than their female peers

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Machine learning reveals that news coverage of people in creative industries such as design and art is shaped by gender. Can it guide us toward parity?

How long would it take you to review half a million articles? Not just to read, but to tally for particular keywords, such as “he,” “she,” and the words that immediately follow them? Well, let’s just say you’d have to quit your day job.

Undeterred, the Creative Industries Policy and Evidence Centre, which provides independent research and policy recommendations for the U.K.’s creative industry, in partnership with the innovation foundation Nesta, made it their day job. They had some help: AI.

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Why women are leaving science, engineering, and tech jobs

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80% of the women say they love their work, yet many still report barriers to getting to the top.

Women in the U.S. who are working in the science, engineering, and tech fields are 45% more likely than their male peers to leave the industry within the year, according to recent research from the Center for Talent Innovation.

 

 

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Physicists show gender bias against female job applicants: Study

Study reveals gender bias with female job applicants.

A new study in the U.S. has found that researchers assessing the employability of early-career scientists subconsciously favour male students over females. The bias, which was seen to exist in both male and female physicists and was also exhibited by chemists and biologists, is thought to be a contributing factor towards the underrepresentation of women in physics.

 

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