'Black box' no more: This system can spot the bias in those algorithms
Between recent controversies over Facebook's Trending Topics feature and the U.S. legal system's "risk assessment" scores in dealing with criminal defendants, there's probably never been broader interest in the mysterious algorithms that are making decisions about our lives.
That mystery may not last much longer. Researchers from Carnegie Mellon University announced this week that they've developed a method to help uncover the biases that can be encoded in those decision-making tools.
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