Public Humanities AI Lab

Our Work

Knowledge Base

https://phai-lab.org/kb

Projects

We have a mission statement, "To develop community-engaged teaching practices that see campus and communities as co-learners of AI as a skill and co-teachers of what AI can be."

All PHAI folk are encouraged to put into their own words what that mission statement means to them, then to let that "restatement" (along with some help from others in the lab) guide them on their projects: to ask and answer new questions, to pioneer new applications or methods, or to oversee and maintain public initiatives.

We believe that this is the best way to make sure that the PHAI Lab continues to make meaningful changes in PHAI folks' and their communities' lives.

Questions

How do we teach when we teach AI Ethics?

How do people use Kaggle?

How do non-academic communities learn about AI?

What are the costs and benefits of different models for teaching AI Ethics?

Participatory design of technology is good--Why?

Papers

Safe AI: Practical Policy Approaches. Bryan Knowles (author), Alan Rubel (advising). 2020.

Eight Views Reviewed: A Review of the Literature of Why AI Matters Morally. Bryan Knowles (author), Alan Rubel (advising). 2019.