For years, computer scientists have warned of the perils artificial intelligence (AI) poses in the future, and not just in the sensational terms of machines overthrowing humanity, but in far more insidious ways too.
, led by first author and robotics researcher Andrew Hundt from the Georgia Institute of Technology.
In their study, the researchers used a neural network called CLIP – which matches images to text, based on a large dataset of captioned images available on the internet – integrated with a robotics system called Baseline, which controls a robotic arm that can manipulate objects, either in the real world, or in virtual experiments that take place in simulated environments .
In an ideal world, neither humans nor machines would ever develop these unfounded and prejudiced thoughts based on flawed or incomplete data.
While concerns over AI making these kinds of unacceptable, biased determinations are not new, the researchers say it's imperative we act on findings like this, especially given that robots have the ability to physically manifest decisions based on harmful stereotypes, as this research demonstrates.
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