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Human-Centered AI
Learning goals are framed as questions in a course where the field is changing rapidly.
Course Info:
- CS 139: "Human-Centered AI"
- Fall 2024
- Instructors: Peter Norvig, Daniel M. Russell
Pedagogy:
On the first day of class, instructors Peter Norvig and Daniel Russell frame the course as "not a tightly scripted story" and point out that "things change rapidly in AI...Even during a 10-week course." Given the fluid nature of this field, articulating the learning goals as open questions may help students meet new possibilities as the term unfolds. Students are allowed to use AI with disclosure.
Learning goals for this class
- What are the basic issues we need to understand when building AI systems in a human-centered way?
- What kinds of UXs currently exist? Who is it designed for?
- What works? What doesn’t work?
- What are the key issues around data ownership and model development?
- What ethical issues do we need to understand in order to develop responsible AI systems?
- What constituencies do AI systems have to serve?
- Where will AI go in the next couple of years?
- How can we make it more human-centered?
Learning Goals