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Leilani Gilpin on Self-Explaining Machines and Autonomous Cars
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On this episode of Virtual Sentiments, Kristen Collins interviews Leilani Gilpin, an Assistant Professor at the University of California Santa Cruz, on self-explaining machines and autonomous cars. Gilpin begins by highlighting the limits of artificial intelligence, detailing how machine learning struggles with interpreting details with reference to a broader context. She points out that machines make decisions based on rules but struggle to make exceptions to those rules. Gilpin suggests that since humans learn through self-explanation and dialogical reflection, automonous cars could use these same methods to improve their decision making. Additionally, Gilpin emphasizes the possible role of community input in deciding machine rules.
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