- Code PHIL2290
- Unit Value 6 units
- Offered by School of Philosophy
- ANU College ANU College of Arts and Social Sciences
- Course subject Philosophy
- Areas of interest Philosophy, Computer Science, Ethics, Human Centred Computing, Artifical Intelligence
- Academic career UGRD
- Sarita Rosenstock
- Mode of delivery Online or In Person
Second Semester 2021
See Future Offerings
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).
Upon successful completion, students will have the knowledge and skills to:
- understand and articulate the key philosophical issues relating to the role of AI in society;
- engage in philosophical discussion and debate on the various issues relating to the role of AI in society;
- critically assess arguments about the appropriate place of AI in society; and
- clearly articulate their own position with respect to contemporary real world debates about AI in society.
- Tutorial Contributions (in-class participation or written responses to readings) (10) [LO 1,2]
- Problem Sets (20) [LO 1,3,4]
- Essay 1 (1000 Words) (35) [LO 1,3,4]
- Essay 2 (1000 Words) (35) [LO 1,3,4]
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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.
Requisite and Incompatibility
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'
No knowledge of AI will be assumed.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
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- 6 units
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