Elizabeth Stewart

I currently teach several courses related to the Ethics of AI:

PHIL137: Big Data, Artificial Intelligence and Ethics - In this first year co-taught course, I introduce students to key challenges facing modern societies as AI-use is integrated into daily decision-making procedures. We discuss ethical concepts including autonomy, privacy, and justice.

PHIL248: AI & I: Artificial Intelligence and the Good Life - In this course, students engage in critical inquiry regarding the role of AI in their personal lives, relationships with others, and the societies in which they live. Topics discussed include AI in education, friendship and AI, the impact of AI on employment and democracy, and more. The aim of this course is to provide a space for students to think carefully about how they want to engage with AI throughout their university career and beyond.

PHIL252: Philosophical Issues in Cognitive Science and AI - In this co-taught course, I teach the second half of the semester with a focus on the moral status and moral capacities of AI systems.

PHIL359: Ethics of Artificial Intelligence - This course is the undergraduate version of PHIL425. In this version, students attend the same lectures as the postgraduate students but will also have a separate workshop where they work collaboratively over the semester as each develops a portfolio of ethical recommendations regarding the development and use of a particular AI tool.

PHIL425/PHIL424/COSC443: Ethics of Artificial Intelligence - This postgraduate course provides an overview of key ethical issues that face developers of AI tools. Over the course of the semester, we identify ethical problems likely to arrive at the progressive stages of AI development - from problem specification, to training, auditing, and deployment.