We rely on computers for everything from games, to avoiding traffic, to curing disease. This is sped up by machine-learning: the process by which computers adjust their programming without human input. But providing conclusions isn’t the same as explaining them, and offering answers isn’t a substitute for teaching. What more do we need from machine learning and how does our relationship with computers mirror the difficulties we have in understanding one another?
Emily Sullivan is an Assistant Professor of philosophy and Irène Curie Fellow at both the Eindhoven University of Technology and the Eindhoven Artificial Intelligence Systems Institute, in The Netherlands. She is also a fellow in the Ethics of Socially Disruptive Technologies Research Program consortium, as well as an Associate Editor for the European Journal for the Philosophy of Science.
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