After a multi-year pilot, Stanford's Faculty Senate, student senate and graduate council voted to permit proctored exams university-wide from Fall 2026 — ending a student-run, unproctored Honor Code system dating to 1921, citing generative AI's effect on cheating and reporting.
50+ courses
Courses in expanded pilot (2024–2026)
136 cases
Honor Code cases (2018–2019)
393 cases
Honor Code cases (2020–2021)
105 years
Years of unproctored exam tradition ended
Details
Maturity
Scaling
Promoter
Stanford University — Academic Integrity Working Group (AIWG)
Stanford's Honor Code, drafted by students in 1921, relied on self-policing with no faculty proctoring of exams. In spring 2024 the university's Academic Integrity Working Group (AIWG) launched a multi-year pilot of equitable proctoring practices in seven courses, later expanding to more than 50 courses across multiple schools.
Objectives
The pilot aimed to test equitable proctoring practices as a governance response to concerns about generative-AI-enabled cheating and a self-policing system that students felt unable to enforce.
Activities
In May 2026 Stanford's Faculty Senate, Undergraduate Senate and Graduate Student Council voted to permit proctoring at any in-person exam university-wide, with the policy taking effect from the Fall 2026 semester.
Results
AIWG members linked the shift explicitly to generative AI: mathematics professor Brian Conrad said ChatGPT's emergence 'played a significant role' in building support for the pilot, while AIWG co-head Jennifer Schwartz Poehlmann noted that students in large classes routinely witnessed cheating but felt unable to report it. Documented Honor Code case numbers rose from 136 in 2018–19 to 393 in 2020–21 — a rise Stanford's own reporting attributes mainly to remote/hybrid instruction during that period, predating mainstream generative-AI tools.
Conclusions
This is a candid governance case: real evidence exists for the pilot, the vote and the policy reversal itself, but the causal 'AI drove a cheating surge' claim rests on faculty testimony and qualitative reporting rather than a published, generative-AI-specific violation count.
Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Academic Integrity Working Group (AIWG), Faculty Senate, Undergraduate Senate, Graduate Student Council
Conditions for success
Multi-year phased pilot (7 courses scaling to 50+) before university-wide rollout
Multi-body governance approval (faculty, undergraduate and graduate representation)
Public reporting of rationale via student and university press
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Data sources
Where this practice's information was retrieved from, and when.
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