Generative Artificial Intelligence (AI)

In this semester-long course, students will explore the inner workings of text-based generative AI models, developing a foundational understanding of how these systems process and generate language. Rather than focusing on technical implementation, students will engage with AI concepts through the familiar framework of input, storage, process, and output. They will analyze how generative AI models learn from data, how training datasets shape their responses, and how biases can emerge. Throughout the course, students will apply their knowledge to real-world scenarios, equipping them to critically evaluate AI-generated content and respond to common misconceptions about AI. They will also consider the ethical implications of AI’s influence on society and develop strategies for educating and empowering individuals who may feel overwhelmed or misinformed by rapid advancements in AI technology. By the end of the course, students will be prepared to engage thoughtfully in discussions about generative AI, balancing curiosity with informed skepticism.

Single semester course offered in the spring semester.