On Intuition: Machine Learning and Posthuman Ethics
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Whether in the da Vinci surgical robots, or in the geopolitics of automated weaponry, drones, and intelligence gathering, machine learning algorithms and operatives are trained for future action via the patterns of ingested past data. What kind of ethics is possible in the context of the intuitive learning of a posthuman composite? Can this form of cognition and action be meaningfully called to account?
This talk is part of the Department of Geography - main Departmental seminar series series.
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