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A skeptic's guide to thinking about AI

For the audience, the discussions offered a compelling introduction to the false claims and ethical dilemmas that surround AI right now. It was a valuable primer for anyone, from designers who are starting to work with machine learning to users who simply have questions about the way their data is being used in society. Here are four insights about how all of us–from developers to designers to users alike–can see more clearly through the hype. They cast a skeptical eye on the AI's true abilities, its efficiency-oriented value systems, and the way technology companies are approaching ethics. Virginia Eubanks, associate professor of political science at SUNY Albany, studies how algorithms impact the way welfare is distributed in the U.S. for those living below the poverty line.