Autumn 2022
University of Washington
This course focuses on understanding the societal and ethical implications of technology and computing. It covers historical tech issues, machine ethics, and science and technology studies. The course aims to train students to critically evaluate the socio-technical implications of their creations, with a focus on AI ethics, social good, governance, and privacy, among other topics.
Be it social-media platforms, robots, or big data systems, the code Allen School students write—the decisions they make—influences the world in which it operates. This is a survey course about those influences and ways to think about them. We recognize, “the devil is in the implementation details.”
The course is divided into two parts: In the first part, we survey historical and local issues in tech, particularly those concerning data. We then engage with critical perspectives from disciplines such as machine ethics and science and technology studies as a framework for students to articulate their own beliefs concerning these systems. In the second part, we apply these perspectives to urgent issues in applied technologies; see the schedule for the topics we plan to consider this quarter.
Throughout, students hone their critical reading and discussion skills, preparing them for a life-long practice of grappling with the—often unanticipated—consequences of innovation.
We approach topics such as: AI ethics, social good, utopianism, governance, inclusion, facial recognition, classification, privacy, automation, platforms, speculative design, identity, fairness, power and control, activism, and subversive technologies.
We aim to have you feel this course experience is an essential part of your Allen School education despite being (or because it is!) very different from most CSE courses.
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By the end of this course students will:
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