AI has changed how people learn, teach, and evaluate knowledge. In this module we’ll examine different forms of AI use in education, the ethical implications of institutional responses to AI, and what these technologies might mean for the future of learning. You will be be encouraged to reflect on your own use of AI and what kinds of learning experiences you value.

This module explores how AI is reshaping creativity, authorship, and creative labor. We’ll examine different conceptions of creativity, ethical debates around generative AI, and questions about ownership, artistic identity, and human-AI collaboration. This module considers not only how AI can contribute to creativity, but what kinds of creative futures we want to encourage.

Humans often treat technologies as social actors, and AI systems in particular are often designed to encourage emotional and social interaction. In this module, we’ll explore both the potential benefits and ethical risks of social AI, including questions related to loneliness, manipulation, dependency, and design choices. Throughout, we’ll consider how different technological and business decisions shape the kinds of relationships people develop with AI systems.

This module focuses on how we both anticipate and shape possible futures with AI. Alongside speculative approaches to thinking about unintended consequences and societal impacts, we’ll also explore practical AI ethics tools and methods used to identify, assess, and mitigate risks in real-world contexts. Rather than treating the future as inevitable, this module emphasizes the role of human choices, institutional incentives, and collective action in shaping the future.