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AI Faculty Fellows

Reporting to the Office of the Provost

Work Streams

The Fellows organize their work into six work streams.

01

Improving Research and Creative Work

Using AI to support research & creative work across disciplines.

Annual AI Orientations
  • Discipline-specific applications & implications of AI on research
  • Tailored for needs of unit/college — led by faculty liaisons in Summer CoP
  • Keep pace with speed of change
Introduce an AI Resource Center to offer shared resources and services
  • Resources/Cyberinfrastructure: hardware (on-premises or on-cloud), AI agents (local or commercial), AI sandboxes, etc.
  • Services: AI consultants program, AI training, AI evaluation services, etc.
02

Improving Teaching

Helping faculty use AI effectively and responsibly in teaching.

AI Literacy Training and Workshops
  • Synchronous (In-person/Zoom) + Asynchronous (Canvas, Skillsoft, LinkedIn Learning, etc.)
  • Required annual training vs. voluntary workshop model
Program to support faculty to develop pedagogical co-instructors
  • Personalized support
  • Engagement and motivation
  • Scaffolding and feedback
  • “Teachable” agents
03

Student Training and Career Preparation

Equipping students to use AI effectively and ethically in their academic work and professional futures.

Tracking AI use across industries; connecting students to campus initiatives, services, and student groups
  • Survey alumni/industry partners
  • Partner with career/internship offices; embed AI skill-mapping
Survey and town hall for students: what are their interests and needs?
  • Co-host college/major forums with student government
Student (and faculty) training on common AI models (e.g., ChatGPT EDU, before August 14)
  • How-to videos and quick-start guides for self-paced onboarding
  • Train student “AI ambassadors”
04

Course Policies & Assessment

Develop a shared infrastructure for AI course policies + authentic assessment.

Tool for instructors to create course-specific AI-use policy statements that makes them legible to faculty & students
  • Available now in Resources as the AI-Use Policy Statement Generator
Build infrastructure to support authentic student assessment
  • Fully staffed on-campus testing center
  • Creative technological and pedagogical solutions for online asynchronous instruction (remote proctoring, switch to “hybrid” modality with in-person testing, browser lock-down functions, extra support for online instructors, etc.)
  • Campus-level support (not unit/college specific)
05

Ethics and Environment

Study and develop best practices to address ethical and environmental concerns around AI while enabling use of AI.

With shared governance, develop guidelines to establish the ethical (including copyright, privacy, reliability, neutrality and fairness) and environmental best practices for use of AI at CU Denver
Study and report on alternative AI implementation (local and commercial) options that meet the established ethical and environmental requirements
Introduce a program to implement the established ethical and environmental best practices
Create community awareness of the ethical and environmental concerns — for students, staff and faculty
06

Faculty Role in New Vision of Education

In a collaborative process between faculty shared governance and university leadership, establish a renewed vision of education across all disciplines in the age of AI to re-establish the role of the faculty.

In a collaborative process between faculty shared governance (including faculty assembly, faculty liaisons in Community of Practice, etc.) and university leadership, define the role, labor, and governance responsibilities of faculty in their disciplinary context as it relates to AI
Explicit adoption of the strategic vision from university leadership

Resources

Tools, reports, and supporting materials from the AI Faculty Fellows initiative.

Events

Faculty town halls hosted as part of the AI Faculty Fellows initiative.

Meet the Fellows

Five faculty members from across CU Denver lead the AI Faculty Fellows initiative.

Farnoush Banaei-Kashani
Farnoush Banaei-Kashani

Farnoush Banaei-Kashani is an Associate Professor of Computer Science and Engineering, with secondary positions in the Department of Mathematical and Statistical Sciences and the Department of Pharmaceutical Sciences. His research and teaching focus on introducing enhanced AI and Data Science methodologies inspired by a wide range of applications. As a sample, his work toward teaching AI to be creative was featured in a recent story.

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Soumia Bardhan
Soumia Bardhan, PhD

Soumia Bardhan is associate professor of Communication and serves as director of International Studies. An award-winning social scientist and rhetoric scholar, she examines how media, technology, and communication shape global political and cultural systems. Bardhan is founding director of the AI and Communication Certificate at CU Denver. As CETL Faculty Fellow, she led a campus-wide initiative on responsible AI integration in teaching and served on the Provost's AI Working Group on Research. Bardhan is an alumna of the AAC&U Institute on AI, Pedagogy, and the Curriculum.

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Cameron Blevins
Cameron Blevins

Cameron Blevins is Teaching Professor of History and Director of Digital Initiatives for the College of Liberal Arts and Sciences at CU Denver. He administers the Digital Studies Certificate, which helps students learn digital tools while understanding the relationship between those technologies and wider society. An award-winning scholar of US history and digital humanities, his research covers the history of communications, critical data studies, public history, and the history of gender and sexuality.

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Lorne Bregitzer
Lorne Bregitzer

Lorne Bregitzer is an Associate Professor of Music Technology in the College of Arts & Media at CU Denver. A veteran audio engineer, producer, and educator, he is both an Ableton Certified Trainer and an Avid Certified Instructor, and has engineered sessions for artists including Eminem, Blues Traveler, NSYNC, TV on the Radio, Styx, Henry Rollins, and Method Man & Redman — work that earned him a Platinum record for D’Angelo’s Grammy-winning album Voodoo. At CU Denver he teaches audio production, sound design, synthesis, and advanced mastering, and is the author of Secrets of Recording (Focal Press).

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Robert (Bud) Talbot
Robert (Bud) Talbot, PhD

Bud Talbot is a science educator, teacher, and researcher. He currently teaches pre-service and in-service science teachers, undergraduate peer Learning Assistants (LAs), and doctoral students in STEM education. Talbot’s research focuses on peer learning support in undergraduate science courses across the disciplines, although his experience and particular interest is in physics education research (PER). Talbot has also served as a Program Director at the National Science Foundation in the Directorate for STEM Education, Division of Undergraduate Education. Prior to entering academia, he taught physics, physical science, and earth science in grades 7–12 for seven years in US public schools.

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