In this episode, Amanda Levendowski, a Clinical Teaching Fellow with the Technology Law & Policy Clinic at NYU Law, discusses her article "How Copyright Law Can Fix Artificial Intelligence's Implicit Bias Problem," which was published in the Washington Law Review. Levendowski explains that "artificial intelligence" algorithms use "machine learning" to create heuristics for solving problems, but need large data sets in order to work. Unfortunately, many widely available and heavily used datasets have pernicious biases built into them. Copyright can discourage companies from using alternative data sets that would reduce those biases. But Levendowski argues that some copyright doctrine, especially fair use, might reduce the "friction" created by copyright and help companies create better AI. You can read more about Levendowski's work in these articles. Levendowski is on Twitter at @levendowski.

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