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Artificial Intelligence Steering Committee

The Artificial Intelligence Steering Committee will serve as the University’s primary deliberative and advisory body for matters related to the implementation, governance, and responsible use of artificial intelligence (AI) across Cal Poly Humboldt. This university committee will work to ensure that AI adoption is ethical, transparent, pedagogically sound, operationally secure, and aligned with CSU policy and Cal Poly Humboldt strategic priorities.

As described in the Committee Governance and Oversight Policy, a University Committee must have a broad, cross-divisional remit and support institutional collaboration and decision-making. The AI Steering Committee meets this definition by bringing together faculty, students, staff, and administration to guide a rapidly evolving domain that affects teaching, research, operations, data governance, and student success.

The scope of the AI Steering Committee encompasses campus-wide AI strategy and governance, including but not limited to:

Teaching and Learning
  • Develop and refine Responsible AI guidelines for instructional use.
  • Provide recommendations on academic integrity, assessment frameworks, syllabus language, and accessibility considerations in course design.
Research and Scholarly Use
  • Offer guidance on data use, human subjects considerations, reproducibility, disclosures, and authorship concerns in relation to AI-assisted research.
Operations, Procurement, and Data Governance
  • Review proposed AI tools and services that may affect campus systems, data, accessibility, or risk profiles.
  • Coordinate with ITS and Procurement to ensure due diligence, including privacy, security, accessibility, and contract requirements.
Policy and Ethics
  • Establish campus-wide Responsible AI principles aligned with CSU guidance and peer institutions.
  • Consider bias, equity, student protections, and data minimization issues.
Student Experience & Skills
  • Support the development of microcredentials, workshops, learning resources, user guides, and communication resources that prepare students for AI-rich academic and professional contexts.
Transparency and Community Engagement
  • Maintain public-facing communications including membership, agendas, meeting notes, decisions, and a pipeline for AI tool or pilot requests.
  • Maintain a public-facing university webspace outlining its purpose, membership, and meeting notes. 

Following the Committee Governance and Oversight guidelines on cross-divisional representation and expertise diversity, the AI Steering Committee will include:

Co-Chairs
  • Faculty Co-Chair (voted in by the University Senate).
  • Director, Center for Teaching & Learning (CTL).
Executive Sponsors (Ex Officio, Non-voting)
  • Provost
  • Chief Information Officer
  • Vice President for Administration & Finance
  • Dean of Students
  • Other senior leaders as appropriate
Voting Members (8-10 members)
  • Faculty (3-4) – at least one per college; includes adopters, skeptics, assessment experts, library faculty, accessibility expertise.
  • Students (2) – Associated Students representative(s) and/or graduate student.
  • Staff/Administrators (3) – CTL, Library, Institutional Research, Accessibility/CDRC, General Counsel/Privacy, Procurement/Risk/InfoSec.
Standing Workgroups (non-voting chairs sit on AI Steering Committee)
  • Teaching & Learning
  • Research & Scholarly Use
  • Operations, Procurement & Data
  • Policy & Ethics
  • Student Experience & Skills

Workgroups follow the definition of “Working Groups” in the committee policy, functioning as temporary assemblies tasked with research and recommendations that inform committee decision-making.

To be determined.