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“It’s usually been hard to measure discrimination,” he states, introducing, “AI-driven units are sometimes easier to observe and evaluate than human beings, and one purpose of my work would be to know how we might leverage this enhanced visibility to think of new strategies to determine when devices are behaving badly.”

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“We propose that AI appreciation takes place when AI is perceived as remaining far more able than human beings and personalization is perceived as currently being unneeded within a offered choice context,” says MIT Professor Jackson Lu, co-author of a freshly printed paper detailing the research’s results.

As Raghavan considers how to use computational technologies to best serve our earth, he states he finds the most enjoyable point occurring his area is the concept that AI will open up up new insights into “humans and human society.”

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