AI TASKFORCE REPORT

AI Task Force Report Available

• Executive Summary 
• AI Guiding Philosophies: TEACH, LEARN, GOVERN, GROW
• University-Wide Recommendations:
  • Ethics, Policy, and Governance of AI Use
  • AI Integration in Teaching, Learning, and Curriculum
  • Technology Infrastructure, Training, and Support for AI
• College-Level Recommendations

1

AI Philosophy in Teaching and Learning

Develop and recommend a campus-wide philosophy regarding the use of AI

2

AI Policies in TEACHING AND LEARNING

Review current University policies related to the use of AI

3

BUILDING FACULTY CAPACITY FOR AI INTEGRATION 

Examine needs related to building faculty capacity for AI integration in teaching and learning

Task Force Leadership

1. Kiran Budhrani, Co-chair, AI Faculty Task Force, Director of Teaching and Learning Innovation, School of Professional Studies (SPS)/Center for Teaching and Learning (CTL)
2. Manuel Pérez-Quiñones, Co-chair, AI Faculty Task Force, Professor in Software Information Systems, College of Computing and Informatics (CCI)
3. Jordan Register, Instructional Designer & Technologist II, School of Professional Studies (SPS)/Center for Teaching and Learning (CTL)

Task Force Members

1. Mona Azarbayjani, Professor and Director of Graduate Programs in Architecture, College of Arts + Architecture (COAA)
2. Beth Caruso, Digital Pedagogy & Emerging Technologies Librarian, J. Murrey Atkins Library (LIB)
3. Justin Cary, Senior Lecturer in Writing, Rhetoric and Digital Studies, College of Humanities & Earth and Social Science (CHESS)
4. Mohsen Dorodchi, Teaching Professor in Computer Science, College of Computing and Informatics (CCI)
5. Daniel Maxwell, University Supervisor/Lecturer in Middle, Secondary, and K-12 Education, Cato College of Education (COED)
6. Sam Suptela, Associate Teaching Professor in Biological Science and Director of Assessment, Klein College of Science (KCOS)
7. Lufei Young, Professor in Nursing, College of Health and Human Services (CHHS)
8. Lina Zhou, Professor in Business Information Systems and Operations Management, Belk College of Business (BCOB)
9. Qiang Zhu, Associate Professor in Mechanical Engineering and Engineering Science, William States Lee College Of Engineering (COE)

418 members
of the campus 
provided input or feedback

OUR AI COMPASS

TEACH: Promoting Success in Teaching and Learning with AI

We commit to thoughtful, responsible, and ethical AI integration that supports teaching and learning in meaningful ways to enhance instruction, personalize learning, and support student achievement, keeping educational goals at the forefront.

LEARN: Balancing Human-AI Collaboration, Critical Thinking, and Creativity

We commit to leveraging AI as a learning partner, not a replacement, amplifying human and interdisciplinary collaboration, critical thinking, and creativity.

GOVERN: Advocating Ethical AI Governance for Openness, Transparency, and Accountability

We commit to maintaining openness, transparency, and accountability of AI use, ensuring responsible governance and ethical practices.

GROW: Intentional Growth in Resources for AI Adoption

We commit to systematically and intentionally growing resources that support thoughtful and effective AI adoption in support of teaching and learning.