School of Sociology · ANU College of Arts and Social Sciences
This course examines algorithms as social and cultural objects—products of human labor, politics, and imagination, as much as of mathematics and computation. Drawing on interdisciplinary perspectives from Science and Technology Studies (STS), media studies, and critical data studies, students will explore how algorithms shape and are shaped by social values, institutions, and practices. Topics include algorithmic bias and discrimination, automation and labor, surveillance and governance, platform infrastructures, and the cultural imaginaries of artificial intelligence. Through case studies ranging from social media feeds to predictive policing and generative AI, the course asks: What does it mean to live in a world increasingly governed by algorithms? How do we study, critique, and intervene in algorithmic systems?
Short essay (2000 words)
Learning outcomes 1, 2, 3
Seminar presentation (5 mins)
Learning outcomes 1, 2
Class participation (minute papers)
Learning outcomes 3, 4
Independent Research Project Report (3000 words)
Learning outcomes 1, 2, 3, 4, 5
130 hours of total student learning time made up from: a) 30 hours of contact made up of lectures and tutorial activities b) 100 hours of independent student research, reading and writing.
Not applicable.