Mission
The mission of the AI Access and Integrity Working Group is to facilitate a campus-wide conversation focused on access equity and academic integrity. The rapid emergence of these technologies is creating opportunities and concerns that are best addressed through inclusive dialogue.
The group is comprised of smaller teams of faculty, staff, and students from across campus who are examining different aspects of AI at the University: Education, Industry, Research, and Society.
The group maintains this website as a campus community resource and is inspired by the University's core values of Adaptation, Determination, Inclusion, Integrity and Compassion.
The Institute for Computation and Data-Enabled Insight is convening the AI teams in partnership with the Office of the Provost and Research, Innovation and Impact. A Steering Committee oversees the AI teams.
Steering Committee
The mission of the steering committee is to oversee the efforts of the working group to ensure transparent, diverse, and inclusive engagement in the campus dialogue around AI. The committee is comprised of representatives from the Office of the Provost, RII, the Faculty Senate, and the Staff Council. We are actively working to include an undergraduate student.
Members:
Greg Heileman, Vice Provost, Undergraduate Education
Arthur "Barney" Maccabe, Executive Director, ICDI
Nirav Merchant, Director, Data Science Institute
Dr. Marvin Slepian, Regents' Professor, Medicine
Darcy Van Patten, Chief Technology Officer, UITS
Melody Buckner, Associate Vice Provost, Digital Learning and Online Initiatives, UCATT
Ravneet Chadha, Chief Data Officer/Associate Vice President, UAIR
Marci Hill, Staff Council and Director, Administration and Academic Affairs, Eller College of Management
Stephanie Doster, Senior Director, Marketing and Communications, ICDI and Space4 Center
Angela Cruze, Director, Operations and Programming, ICDI
Kian Alavy, Program Coordinator, Office of Undergraduate Education
Laura Dozal, Graduate Student
AI Community at the University of Arizona
The AI community on campus is a space for university members to explore opportunities and connect with researchers, faculty, staff, and students to foster campus-wide discussions on the equitable access and ethical use of artificial intelligence. Explore the AI resources, updates, and insights on campus. University credentials are required to access the community site.
AI Marcom Council
The AI MarCom Community of Practice helps empower the University of Arizona’s marketing and communications professionals to integrate generative AI technologies into their workflows responsibly, effectively, ethically, creatively, and in alignment with the university’s mission and values. All U of A MarCom staff are welcome to contribute their knowledge and learn from others in this community. We will be establishing an AI MarCom Sharepoint presence as a space for exchanging ideas and learning from one another amid this rapidly evolving technology. If you have questions, please email artificialintelligence.arizona.edu
2023-24 Working Group
The AI Working Group hosts cross-campus teams that are focused on four core areas: Education, Industry, Research, and Society. Team members examine AI and their focus area through the lenses of three cross-cutting themes: Benefits, Ethics, and Infrastructure and Training. The working group structure also includes Organizing and Action commitees that help coordinate and advance the teams' activities.
Team Members
Benefits
Jayme Davis (Co-lead)
Kathleen Kennedy (Co-lead)
Camden Hardy, College of Nursing
Dana Lema, University of Arizona Libraries
Efiong Akwaowo, Forbes School of Business
Francesca Nesfield, ThinkTank
Kimberly Moore, College of Fine Arts
Kristel Phillips, Schedule for Success
Leslie Dupont, College of Nursing
Lupe Romero, Hydrology and Atmospheric Sciences
Melissa Thach, SALT center
Moe Momayez, Mining and Geological Engineering
Nathaniel Kim, Cardiology-Sarver Heart Center
Nicole Hennig, UA Libraries
Rachel Miranda Wedig, College of Veterinary Medicine - Instructional Design
Shakuntala Devi Gopal, Department of Educational Policy Studies & Practice
Stephanie Fink, Liberal Arts
Tony Colella, Geography
Xavier Segura, School of Gov. & Public Policy
Ethics
Damon Leverett (Co-lead)
Jayme Davis (Co-lead)
Linda Hollis (Co-lead)
Brandon Ross, ThinkTank
Camden Hardy, College of Nursing
Carleen De Armon, Chemistry & Biochemistry
Chrissy Lieberman, Dean of Students
Christine Walsh, School of Information
Frederick Chang, Biomedical Informatics
Grant Adamson, Religious Studies & Classics
Karen Barto, Writing Skills Improvement Program
Marlene Johnson-Lutz, Human Resources Client Services, HRCS
Ruben Rillo, UA Privacy Office
Shakuntala Devi Gopal, ESPS
Infrastructure & Training
Amelia Herb (Co-lead)
Aziz Yudalshev (Co-lead)
Betül Czerkawski (Co-lead)
Margaret Chen (Co-lead)
Vana Sherchand (Co-lead)
Arezu Corella, Enrollment Management
Camden Hardy, College of Nursing
Corey Mustin, Neuroscience
Cory Eisenberg, Student Engagement & Career Development
Daricus Larry, University of Arizona Libraries
David Herring, University Center for Assessment, Teaching, and Technology (UCATT)
Gretchen Gibbs, UCATT/Faculty in Graduate College
Jenn Ronnebaum, Arizona Emergency Medicine Research Center
Jenny Rea, Human Services
Jonathan Kevan, Health Sciences International
Moe Momayez, Mining and Geological Engineering
Nathaniel Kim, Cardiology-Sarver Heart Center
Torbet McNeil, Educational Policy Studies and Practice
Wei Xu, Second Language Acquisition and Teaching
Team Members
Benefits
Alan Kang, School of Information
Andrew Polsgrove
Daniel Lee, Department of Medical Imaging
David Bruzzese, College of Medicine
Florian Goeltl, Biosystems Engineering
Nathaniel Kim, Division of Cardiology/Sarver Heart Center
Nguyen Pham, College of Pharmacy
Patrick Mulligan, Department of Emergency Medicine
Ethics
Andrew Carroll, Family & Community Medicine
Brian Hansen
Hunter Graham, Faculty Affairs, College of Medicine, Pheonix
Nathaniel Kim, Division of Cardiology/Sarver Heart Center
Infrastructure & Training
Angel Velazco, College of Medicine, Pheonix
Brendan Miller, Information Security Governance Risk & Compliance, Information Security Office
Corinne McCollester, Product Designer
Daniel Boucher, UX/UI Designer, University Marketing & Communication
Evy Lizárraga, Instructional Technologist, UITS
Kyli McQueen, College of Medicine, Pheonix
Laurel Ragaller, Eller Executive Education
Nathaniel Kim, Division of Cardiology/Sarver Heart Center
Nina Bates, Office of the Provost
Team Members
Benefits
Carlos Lizarraga, Data Science Institute (Co-lead)
Chancellor Robert Woosley, Eller (Co-lead)
Sarah Grace, Psychology (Co-lead)
Courtney Coffey, Research Development Services
Jeffrey Tran, IM/Cardiology
Srinivasan Vedantham, Medical Imaging
Ethics
Chi-kwan Chan, Astronomy (Co-lead)
Mariette T. Marsh, RII (Co-lead)
Bailey Caylor, Department of Surgery/Trauma Division
Chris Schaller, Lunar and Planetary Laboratory
David W. Hannum, Forbes School of Business and Technology - UAGC
Kriss Pope, Engineering Administration
Paul Gignac, Cellular and Molecular Medicine
Infrastructure & Training
Chi-kwan Chan (Co-lead)
Mithun Paul (Co-lead)
Paula Tonino (Co-lead)
Soham Pal (Co-lead)
Srikar Adhikari (Co-lead)
Andrew Arbogast, Department of Internal Medicine
Ann Zabludoff, Astronomy
Ashwini Rajashekar, College of medicine
Avanka Lowe, Medical Imaging (Division: Nuclear Medicine)
Brandon Jernigan, Health Sciences
Cara Deery, Sarver Heart Center
Chris Reidy, Research Technologies
Eduardo Rozo, Physics
Farzad Mashayek, Aerospace & Mechanical Engineering
Gerardo Gomez-Abundis, Infectious diseases BUMCP
Jeffrey Tran, Internal Medicine/Cardiology
Lei Cao, Computer Science
Nicole Schmidt, UCATT
Sarah Sutton, Lunar and Planetary Laboratory
Sridevi Krishnan
Srinivasan Vedantham, Medical Imaging
Team Members
Benefits
Hsain Ilahiane (Co-lead)
Marc Waggoner (Co-lead)
Tina Johnson, Data Science Institute (Co-lead)
Ethics
Cas Laskowski (Co-lead)
Hsain Ilahiane (Co-lead)
Jeff Bishop (Co-lead)
Tina Johnson, Data Science Institute (Co-lead)
Alfonso Lopez, Academic Engagement Center
Amy Johnson, CyVerse
Bailey Clyde Caylor, Department of Surgery/Trauma Division
Chris Schaller, Lunar and Planetary Lab
Craig Wilson, Vice Provost | Online, Distance and Continuing Education (ODCE)
Cynthia Livingston, Liberal Arts
Emily Corkery, UAGC Student Records
Layana Navarre-Jackson, General Education
Marina Gallardo
Infrastructure & Training
Jeremy Frumkin (Co-lead)
Marc Waggoner (Co-lead)
Tina Johnson, Data Science Institute (Co-lead)
Elliott Shrader, RII, Office of Research Contracts
Garrett Smith, CAPLA
Manny Martinez, R. Ken Coit College of Pharmacy
The Organizing Committee provides organizational support for the working group, including organizing inter-team coordination meetings and coordinating future events related to the working group.
Committee members:
- Kian Alavy, Office of Undergraduate Education
- Ash Black, Institute for Computation & Data-Enabled Insight (ICDI)
- Melody Buckner, Digital Learning and Online Initiatives
- Angela Cruze, ICDI
- Stephanie Doster, ICDI
- Tyler Millhouse, iSchool
- Malaica Oxnam, Data Science Institute
The Action Committee considers specific actions and outcomes that could be taken to enhance the AI posture of the University. One example is to consider updates to the syllabus guidance that was generated by the AI Summer Working Group or the possible development of a University-specific large language model (LLM). Working group teams can suggest actions that should be considered by the Action Committee and review action plans that are developed in the committee.
Brief Timeline of the AI Working Group
2023-24 Academic Year
- With the beginning of the fall semester, more than 400 faculty, staff, and students volunteered to participate in the AI Working Group.
- Based on feedback provided by the campus community, the group restructured into four main focus areas with co-leads: Education, Industry, Research, and Society.
- The group will periodically review these areas to determine if new themes should be added as the AI landscape continues to evolve.
Summer 2023
- The summer 2023 AI Working Group—comprised of more than 60 University faculty, staff and students—organized into seven teams, each tasked with examining different aspects of AI on campus: access and equity, communication, data acumen, ethical considerations, industry and workforce, integrity in education, syllabus guidance, and training needs.
Our mission is to investigate and promote AI access and equity in the present and ensure it into the future. Our goal is to establish fair treatment, access, opportunity, and advancement for all people through policies that cultivate meaningful participation.
Summer 2023 Working group members:
Co-Leads
Linda Hollis, Science
Cas Laskowski, Law
Team Members
Samantha Ginsburg, Law Library
Arin Haverland, CALS
Donna Jurich, Education
Jennie McStotts, Honors College
Janel Sherman, Student - Psychology
Sam Ginsburg
Our mission is to develop a web-based clearinghouse as a dynamic and up-to-date university AI information hub accessible to the campus community and beyond. We are establishing a community of practice around AI that fosters communication, dialogue, engagement, teaching, learning, and research across the campus and beyond to aid our wider community.
Summer 2023 Working group members:
Co-Leads
Michael Dorland, UITS
Stephanie Doster, ICDI
Amelia Herb, SBS
Working Group Team
Mariana Calvo, ICDI
Frank Camp, Marketing and Branding
Marie-Chantale Maltais, University Communications
Veronica Johnson, UITS
Aimee Mapes, SBS
Melissa Martinez, Office of the Provost
Zak Morek, UITS
Vern Pilling, UAHS CB2
Carlson Factory, BASS IT
Asya Roberts, UITS
Mike Southworth, Arizona Online
Our mission is to propose goals, principles, and practices for formal and informal instruction that build an understanding of AI, its use, and implications for society. Our aim is to make good decisions about developing AI instructional principles, suggest digital literacy practices for UArizona General Education, create competency frameworks for students at all levels, and provide AI tool guidelines for faculty, staff, and students that are equitable and inclusive.
Summer 2023 Working group members:
Co-Leads
Ash Black, Eller
Kathleen Kennedy, CALS
David Weber, Eller
Working Group Team
Steven Bethard, iSchool
Romi Carrell Wittman, CAST
Sojung Chun, Humanities
Fred D'Angelo, CAST
Paul Gignac, Medicine
Anuj Gupta, SBS
Eric Jackson, SBS
Bijun Kannadath, COM-PHX
Ryan Matika, Medicine
Shivam Chandresh Shishangia
Timothy Dentry
Sejal Semerjeet Khangura
Our mission is to plan and organize campus-wide conversations around topics related to AI and the University, encouraging all faculty, staff and students to join the discussion and share their voices and ideas.
Summer 2023 working group members:
Co-Lead
Stephanie Doster, ICDI
Working Group Team
Kian Alavy, Office of Undergraduate Education
Ash Black, Eller
Mariana Calvo , ICDI
Angela Cruze, ICDI
Adam Davi, UCATT
Amelia Herb, SBS
Tina Johnson, Data Science Institute
Kathleen Kennedy, CALS
Roweena Mackay, College of Fine Arts
Barney Maccabe, ICDI
Meaghan Miller, Strategic Initiatives
Maliaca Oxnam, Data Science Institute
Rebecca Richmond, Strategic Initiatives
Teresa Saeed, ICDI
Our mission is to advance AI's responsible and effective use across Arizona and the globe by partnering with industry. We foster a dynamic and substantive dialogue with the business community about AI's implications for economic development and work that optimizes the growth of human potential.
Summer 2023 Working group members:
Co-Lead
Ash Black, Eller
Working Group Team
Susie Salmon, Law
Jon Kevan, UCATT
Hope Kramek, Administration
Our mission is to explore and define guiding principles for the University of Arizona when determining how students and faculty can ethically use artificial intelligence technologies. We examine the current code of academic conduct to recommend revisions that account for the increasing availability of AI technologies. Additionally, we suggest options for how courses can be designed and taught to ensure that students' learning experiences are equitably enhanced, not hindered, by AI technologies.
Summer 2023 Working group members:
Co-Lead
Linda Denno, CAST
Jamey Rogers, SBS
Scott Ewing, Law
Working Group Team
Maiya Block Nigaybe, Public Health
Betul Czerkawski, CAST
Amy Drescher, CALS
Paul Gordon, Medicine
Holly Graff, UCATT
John McCray, CAST
Jamie Velo, Nursing
Zhongguo Xiong, Science
Kristen Chorba, UCATT
Our goal is to provide clear, ethical, and effective guidance for every syllabus about how to use AI applications. Through sample syllabus statements and guidelines, we recognize a diversity of needs, consider AI tools as supportive technology for learning, and identify potential inequities in access. While encouraging AI literacy, we make suggestions for how to acknowledge and cite generative AI use and notify students of AI detection applications and potential surveillance issues.
Summer 2023 Working group members:
Co-Leads
Gretchen Gibbs, Academic Affairs
Moe Momayez, Engineering
Jessica Zeitler, UCATT
Working Group Team
Isabella Carrillo, Humanities
Eric Dovigi, SBS
Scott Eisenberg, Education
Caitlin Hills, Eller
Alison Jameson, Humanities
Shelley Rodrigo, SBS
Cristian Roman Palacios, iSchool
Kristen Chorba, UCATT
Our mission is to provide foundational interdisciplinary and easily accessible AI education through resources and training focused on developing AI literacy skills. We offer clear pathways for skill development with a specific emphasis on ensuring that students' learning experiences are enhanced by AI technology. We empower individuals across disciplines to use AI tools and services equitably, effectively, and ethically.
Summer 2023 working group members:
Co-Leads
Srikar Adhikari, Medicine
Julianne Hammink, Humanities
Working Group Team
Scott Cowell, CALS
Hoshin Gupta, Science
Nicole Hennig, Libraries
Carlos Lizarraga, DSI
Chantal Skon, Nursing
Liudmila Klimanova, Humanities
Emily Jo Schwaller, UCATT
Garrett Smith, CAPLA
May 2023
- In response, the Office of the Provost; Research, Innovation and Impact, and Institute for Computation and Data-Enabled Insight, with support from the Faulty Senate, surveyed faculty, formed a steering committee, and assembled a team of faculty, staff, and students to facilitate a campus-wide conversation around these discussions.
- When considering the integration of new technologies, two issues are of particular interest in the context of higher education:
- access equity (ensuring equality of access to emerging information tools)
- academic integrity (understanding how these tools can be used with high integrity across instruction and scholarship)
- Why the urgency? These AI technologies are tools like electronic calculators, smartphones, and information search tools that will be integrated into higher education in due time. What’s different, though, is the scope and speed. The range and rate at which these technologies are being introduced will continue to increase, leaving little time to understand the impact of one technology before the next technology needs to be considered.
Spring Semester 2023
- The rapid emergence of novel information technologies like ChatGPT, BING, DALL·E, and Perplexity has the potential to reshape higher education from the classroom to the laboratory.
- These tools swept across academia, including the University of Arizona, sparking many conversations across campus about AI's benefits, opportunities, challenges, and ethical implications in higher education.
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We welcome comments and questions which will help us develop FAQs, events courses/trainings and news. Please use the forms on the Connect with Us page to share your experiences and ideas related to AI in higher ed.