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School of Philosophy · ANU College of Arts and Social Sciences
From our smartphones to our welfare states, we are increasingly dependent on systems that deploy some form or other of artificial intelligence. But despite the central role that AI now plays in our lives, philosophers have been slow to shape our understanding of where we are now, and where we should go next. In this course, we will explore the novel philosophical questions raised by data and AI, drawing on moral and political philosophy, but also philosophy of science and epistemology, and throughout remaining closely engaged with the technical and empirical realities of data and AI. Our goal will be not only to navigate the normative uncertainties we face as we engage with new technologies, but also to demonstrate the exciting prospects for further study in the field of Philosophy, AI and Society (PAIS).
Tutorial Contributions
Learning outcomes 1, 2, 4, 5
Short Writing Assignment 1 (500 words)
Learning outcomes 1, 2, 3
Short Writing Assignment 2 (500 words)
Learning outcomes 1, 2, 3
Essay 1 (1000 Words)
Learning outcomes 1, 2, 3, 4
Essay 2 (1000 Words)
Learning outcomes 1, 2, 3, 4
130 hours of total student learning time made up from: a) 36 hours of contact over 12 weeks: 24 hours of lectures, 12 hours of tutorials, plus up to 12 hours optional workshop-like activities. b) 94 hours of independent student research, reading and writing.
Not applicable Preliminary Reading Selbst and Barocas, ‘Big Data’s Disparate Impact’ Corbett-Davies and Goel ‘The Measure and Mismeasure of Fairness’ Kleinberg, Mullainathan et al. ‘Discrimination in the Age of Algorithms’ Selbst and Barocas, ‘The Intuitive Appeal of Explainable Machines’ Barocas and Nissenbaum, "Big Data's End-Run around Anonymity and Consent'