AI and Social Good

(3 Credit Hours) · Undergraduate

To reap the benefits of innovations stemming from AI, there will also have to be a framework that demonstrates alignment with societal needs and grand challenge problems, algorithmic and data responsibility, and knowledge of and compliance with best practices, coupled with a human-driven value system of sound judgment. This course will provide a foundation for Artificial Intelligence on concepts in machine learning and deep learning, decision making, and agents. In addition, the course will incorporate a discussion on ethics through reviews, discussions, and invited speakers. Utilizing an experiential learning framework, this course will involve applications of AI methods to social good problem spaces through a class project. This course will be a mix of lectures, seminars, and experiential learning opportunities. The course is open to both upper-level undergraduate and graduate students. However, it is an expectation that the graduate students will have an additional set of assignments, including a literature review paper. The graduate students will be encouraged to incorporate their research interests, as applicable, in development of their class projects.