Faculty from all disciplines are invited to register for the upcoming 3-hr mini-conference (virtual) on the teaching of artificial intelligence across the curriculum. The conference will occur on April 8 from 1-4pm, Eastern time, via Zoom. Artificial Intelligence is a tool that is being deployed in every field of study and across nearly all sectors of business and industry. Many of the SEC institutions are now teaching AI outside of its traditional engineering disciplines. This conference is an opportunity to share ideas and network across institutions.

There will be an introduction, a keynote address from Ned Finkle (NVIDIA Vice President of External Affairs), three short talks from SEC faculty teaching AI, and breakout sessions by discipline where faculty can discuss trends within 13 broad disciplines. The tentative agenda is pasted below and updated versions can be found at https://ai.ufl.edu/sec-mini-conference/ . You can register for the conference free-of-charge at https://informatics.research.ufl.edu/registration-sec-artificial-intelligence-orientation-conference/.

Date: April 8 – 1:00-4:00 p.m. ET (1:00-4:00 p.m. Eastern)

Location: Virtual (Zoom)

Invitees: All interested SEC faculty members

Purpose: Artificial Intelligence is becoming an important tool in every discipline. This workshop will provide faculty with (1) an introduction to the new SEC AI Consortium, (2) an orientation on integrating AI into any department, discipline, or major and (3) time for discussion within disciplinary breakout groups about current and future opportunities to add AI to existing curricula.

Tentative Agenda:

1:00 – 1:15 p.m. Welcome and introduction to SEC AI Consortium and this conference

1:15 – 1:45 p.m. Ned Finkle (NVIDIA Vice President of External Affairs): The impact of AI across all fields in science, society, and higher education’s role in addressing the nation’s AI workforce needs

1:45 – 2:15 p.m. Invited Speakers from the SEC AI Committee on Curriculum and Academics 

  1. Computer Programming is not an impediment to AI education (Dr. Diego Alvarado, University of Florida)
  2. Interdisciplinary BS in Data Science degree (Dr. Mimmo Parisi, Mississippi State University)
  3. AI Education: Filling in Curricular Gaps (Dr. Dania Bilal, University of Tennessee).

2:15 – 2:20 p.m. Break

2:20 – 3:30 p.m. Facilitated discussion in breakout groups by general area/discipline

  1. AI in the Humanities
  2. AI in the Social Sciences
  3. AI in the Mathematical & Physical Sciences
  4. AI in Business
  5. AI in Engineering
  6. AI in Agriculture
  7. AI in Health & Medicine
  8. AI in Education
  9. AI in the Arts
  10. AI in the Life Sciences
  11. Law & Policy of AI
  12. Ethics & Accessibility in AI
  13. AI in Architecture and Building Science/Construction Management

3:30-4:00 p.m. Recommendations from breakout groups and next steps