AI Task Force

The Stanislaus State AI Task Force serves as a guide to campus-wide exploration of Artificial Intelligence (AI) for the 2025–26 academic year. The task force is charged with identifying how the University can responsibly and ethically leverage AI in ways that align with existing institutional policies, while also developing actionable guidelines for implementation and ongoing use.

University divisions, colleges, and schools are encouraged to engage with faculty and staff who have demonstrated expertise in AI and a willingness to thoughtfully share their insights with colleagues.

The task force is composed of both students and employees and includes workgroups focused on the areas outlined below.

Academic Year: 2025–26

Reporting To: President’s Cabinet

Task Force Sponsors

• Academic: Rich Ogle, Provost & Vice President for Academic Affairs
• Administration/Technology: Rose McAuliffe, Chief Financial Officer & Vice President for Business & Finance

Co-Chairs

• Stuart Wooley, Associate Vice President for Academic Affairs
• Ron Robinette, Associate Vice President for Information Technology / Chief Information Officer

Email

TechSupport@csustan.edu

AI in Teaching and Learning Subcommittee (AITL)

Charge

Advise the University on the responsible and effective use of AI in teaching and learning by monitoring developments, guiding pedagogy and platform governance, supporting equitable practice across disciplines, and recommending policy updates aligned with academic freedom and student career readiness.

Reporting

The Chair or Co-Chairs serve as liaisons to the AI Task Force.

Proposed Membership

• 1 Chair or Co-Chairs
• 8 College Representatives (2 per college across 4 colleges)
• 1 ATLC Representative
• 1 Faculty Affairs Representative
• 1 Graduate Studies/Council Representative
• 1 Staff/OIT Representative
• 2 Student Representatives (ASI or other), with mechanisms to gather peer input

Responsibilities

• Explore opportunities, challenges, and implications of GenAI in instructional settings.
• Develop recommendations and resources to guide ethical, inclusive, and pedagogically sound GenAI use.
• Review potential impacts of AI integration on University and academic policies.
• Monitor AI developments and advise on instructional implications.
• Provide guidance on pedagogical use and governance of University-provided AI platforms.
• Address applications across disciplines and modalities, centering equity, accessibility, academic integrity, and transparency.
• Recommend new or revised academic policies to appropriate standing committees.
• Ensure alignment with student career readiness and workforce expectations.
• Provide campus-wide expertise and guidance on AI in teaching and learning.

Criteria for Representatives

Applied proficiency with generative AI for teaching and learning beyond basic familiarity, demonstrated through recent hands-on use; ongoing engagement with emerging capabilities and EDU/LMS AI features; and the ability to evaluate implications for courses and assessment.

Appointments and Committee Duration

Appointments are made each September, with membership finalized no later than October 1 to align with the academic calendar. Members serve one-year terms and may be renewed upon recommendation of the Chair and approval by the AI Task Force.

Meeting Frequency and Schedule

• Biweekly during fall and spring semesters (60–75 minutes)
• Monthly during summer, if compensation is available
• Average time commitment: 1–2 hours per week during fall and spring

Amendment Clause

This subcommittee—including its scope, structure, membership, responsibilities, and meeting cadence—may be amended as circumstances evolve upon recommendation of the Chair or Vice-Chair and approval by the AI Task Force.

Professional Development in AI Subcommittee

Charge

Advance AI literacy and workforce readiness by developing and implementing training, resources, and programs that equip faculty, staff, and students with the skills and understanding needed to engage effectively with AI across disciplines.

Reporting

The Chair or Co-Chairs serve as liaisons to the AI Task Force.

Proposed Membership

• 1 Chair
• 1 FCETL Fellow or Faculty Development Center representative
• 1 Library representative
• Up to 2 additional faculty members
• Up to 2 additional staff members
• 1 Staff union representative
• 1 Student representative

Responsibilities

• Explore opportunities, needs, and implications of GenAI for faculty, staff, and student development.
• Identify priorities for AI fluency, digital literacy, and career readiness.
• Assess expectations of community and industry partners regarding AI-related skills.
• Design, develop, or curate AI-related training and resources.
• Coordinate and deliver AI-related programming and events.
• Monitor emerging AI capabilities to ensure relevance and currency.
• Collaborate with the AI in Teaching and Learning Subcommittee.
• Build institutional capacity for sustainable AI education and professional growth.

Criteria for Representatives

Practitioner-level proficiency with generative AI in faculty or student development, demonstrated experience delivering training or resources, and ongoing engagement with emerging AI capabilities and EDU/LMS features.

Appointments and Committee Duration

Appointments are made each September, with membership finalized no later than October 1. Members serve one-year terms and may be renewed upon recommendation of the Chair and approval by the AI Task Force.

Meeting Frequency and Schedule

• Monthly or as needed during fall and spring semesters (60–75 minutes)
• Monthly during summer, if compensation is available
• Average time commitment: 1–2 hours per week during fall and spring

Amendment Clause

This subcommittee—including its scope, structure, membership, responsibilities, and meeting cadence—may be amended as circumstances evolve upon recommendation of the Chair or Vice-Chair and approval by the AI Task Force.