Teaching algorithms not to discriminate | Tampa Bay Times - 0 views
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Algorithms have become one of the most powerful arbiters in our lives. They make decisions about the news we read, the jobs we get, the people we meet, the schools we attend and the ads we see. Yet there is growing evidence that algorithms and other types of software can discriminate.
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The people who write them incorporate their biases, and algorithms often learn from human behavior, so they reflect the biases we hold.
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Fairness, Accountability and Transparency in Machine Learning workshop, which considers the role that machines play in consequential decisions in areas like employment, health care and policing.
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The tech world is notoriously resistant to regulation, but do you believe it might be necessary to ensure fairness in algorithms? Yes, just as regulation currently plays a role in certain contexts, such as advertising jobs and extending credit.
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Should computer science education include lessons on how to be aware of these issues and the various approaches to addressing them? Absolutely!