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College of San Mateo
Region: Bay Area
At a glance
College of San Mateo's AI work is coordinated primarily at the district (SMCCCD) level, where the District Academic Senate has approved an AI Community of Practice, tiered professional development (AI Curious/AI Practitioner), and resolutions on approved tools and notification procedures; the district's January 2025 guidance defers to existing academic integrity policies supplemented by course-level rules. CSM offers a 12-unit Machine Learning and AI Certificate and dedicated CIS courses (CIS 401, 402) taught by specialized faculty, while librarian Carlos Luna maintains a comprehensive AI research guide and the faculty union (AFT 1493) has formed an AI Task Force led by CSM History Professor Tatiana Irwin to address automation and vendor risks.
Updated Scan Findings
8 new 🆕· 14 source-verified findings from the updated web scanAI-Engaged People, Processes & Timelines · 4
- 🆕SMCCCD AI Community of Practice (COP). The District Academic Senate approved a proposal to develop AI Communities of Practice under the District Teaching & Learning Committee on September 8, 2025; the COP (ai.smccd.edu) organizes work around About the COP, Curriculum Integration, Tech Tools, and a Guidance & Ethics Committee, and serves CSM along with the other district colleges. 2025-2026 · high confidence — source
- 🆕SMCCCD tiered AI professional development (AI Curious / AI Practitioner). District Flex Day professional development uses a tiered AI-readiness framework: 'Green Circle - Exploration Level (AI Curious)' for foundational concepts and 'Orange Square - Application Level (AI Practitioner)' for workflow integration and discipline-specific strategies; sessions are tagged with a color-and-shape icon. Serves CSM faculty/staff. 2025-2026 · high confidence — source
- 🆕AFT 1493 faculty union AI Task Force (led by CSM professor). AFT Local 1493 (the SMCCCD faculty union) formed an AI Task Force in Fall 2025, led by CSM History Professor Tatiana Irwin, to develop contract language protecting faculty from AI-driven automation/deskilling, examine vendor IP and privacy/surveillance risks, survey faculty AI adoption, and push for district transparency on tech spending. 2025-2026 · high confidence — source
- 🆕CSM Flex Day session on AI-assisted grading (Gradescope). The CSM Flex Day schedule for April 16, 2026 includes a session 'Gradescope: A Tool for Efficient Grading and Assessing Student Success' by Chemistry faculty Kevin Sibucao that covers Gradescope's AI-assisted grading functions. 2026 · high confidence — source
AI Policies · 3
- 🆕District resolution on Approved AI Tools and Technologies. The SMCCCD District Academic Senate passed a 'Resolution in Support of District Teaching and Learning Committee's Recommendation on Approved Artificial Intelligence Tools and Technologies' on March 9, 2026, endorsing DTLC recommendations on which AI tools are approved for district (including CSM) use. 2026 · high confidence — source
- 🆕District resolution on Artificial Intelligence Notification. The SMCCCD District Academic Senate passed a 'Resolution in Support of District Teaching and Learning Committee's Recommendation on Artificial Intelligence Notification' on April 13, 2026, supporting procedures for notifying stakeholders about AI use across the district (including CSM). 2026 · high confidence — source
- SMCCCD District Academic Senate Plagiarism and AI Guidance. District Academic Senate guidance (approved Dec 9, 2024; updated Jan 8, 2025) covering CSM, Skyline, and Cañada states AI use is covered by existing academic integrity policies when supplemented by course-level rules; it emphasizes assignment design over detection and links to CSM's 'Guidelines Addressing Cheating and Plagiarism' plus sample syllabus detection language. 2024-2025 (updated Jan 2025) · high confidence — source
AI Courses, Tools & Resources · 7
- 🆕Machine Learning and Artificial Intelligence Certificate of Specialization. CSM offers a 12-unit Certificate of Specialization in Machine Learning and Artificial Intelligence requiring CIS 400 (Probability for Computing), CIS 401 (Introduction to Machine Learning), and CIS 402 (Introduction to Artificial Intelligence); it prepares students for roles such as AI Engineer, AI Product Manager, AI Ethicist, and AI Trainer. 2025-2026 catalog · high confidence — source
- 🆕SMCCCD AI Community of Practice Faculty Gateway. The COP faculty gateway provides DTLC guidance on plagiarism/academic integrity (Sarah Harmon), teaching strategies including an 'AI-resistant Assignments' presentation (Allison Hughes) and 'Directing AI Traffic' course-policy guidance, and flex-day professional development slides/recordings; the Guidance & Ethics Committee is developing an ethics guide and PD module. 2025-2026 · high confidence — source
- CIS 402 Introduction to Artificial Intelligence. A 4-unit transferable (CSU/UC) course covering search, game playing, knowledge representation, inference, planning, reasoning under uncertainty, machine learning, robotics, perception, and language understanding; prerequisite is CIS 400. 2025-2026 catalog · high confidence — source
- CIS faculty specializing in AI/Machine Learning. The Computer & Information Science department lists Kamran Eftekhari as Professor, Transfer-Track, Artificial Intelligence and Machine Learning, indicating dedicated faculty for the AI/ML track. 2026 · high confidence — source
- CSM Library Artificial Intelligence (AI) research guide. The CSM Library maintains a comprehensive AI research guide (created by librarian Carlos Luna) with sections on What is AI, AI Tools, Doing Research, Citing Generative AI, AI in the News, Faculty Resources, and Detecting AI, anchored by an introductory 'Student Guide to AI'; last updated May 18, 2026. 2026 · high confidence — source
- CSM Library 'For Faculty' AI resources page. The library's Faculty Resources page (updated May 18, 2026) lists AI detection tools (GPTZero, Turnitin AI Detector, CopyLeaks), the U.S. Dept. of Education AI policy report, OpenAI's Educator FAQ, a Padlet of global university AI policies, and '101 creative ideas to use AI in education.' 2026 · high confidence — source
- CSM Library Citing Generative AI guidance. A library page (updated May 18, 2026) advising students to verify instructor permission, fact-check AI output, and acknowledge AI's role; it intends to cover MLA, APA, Chicago, and IEEE styles but is marked 'Under Construction' and directs students to consult librarians/professors. 2026 · high confidence — source
Spring 2025 baseline
AI-Engaged People, Processes & Timelines
V2030: PeopleV2030: Policy
Team/Lead: SMCCCD/CSM Senate/Jennifer Howze-Owens. Instructional Designer, College of San Mateo
- Colleges have existing academic integrity policies. Work appears to be at District level.
Team/Lead: CSM Senate/Jennifer Howze-Owens. Instructional Designer, College of San Mateo
AI Policies
V2030: Policy
Team/Lead: CSM/Academic Senate
- Per District guidance, College of San Mateo already [has] academic integrity policies that prohibit the use of unauthorized resources. The use of AI content generators is covered by these academic honesty policies if supplemented by course-level policies that are explained in a course syllabus and/or assignment instructions.
AI Courses, Tools & Resources
V2030: ResourcesV2030: SystemsV2030: People
- College of San Mateo and Skyline College had participating representation in PlayLab in November Inaugural cohort with UC Berkeley
Entities from the knowledge graph
college: College of San Mateo