Policy presence
Dartmouth College has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hanover, United States
Dartmouth College
Dartmouth College is listed as QS 2026 rank =247. Dartmouth College has 7 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Dartmouth College is listed as QS 2026 rank =247. Dartmouth College has 7 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Dartmouth College as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/dartmouth-college.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Evidence includes Procurement claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Dartmouth College has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Dartmouth College has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Dartmouth College has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Dartmouth College has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Dartmouth College has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Dartmouth College has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Dartmouth College has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Dartmouth College has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Dartmouth College has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Dartmouth College has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
7 reviewed evidence-backed public claim
Ai Tool Treatment
For Dartmouth AB undergraduates and special non-degree students, GenAI tools are disallowed by default for submitted coursework unless expressly permitted by the course instructor.
Review: Agent reviewed
Normalized value: undergraduate coursework genai default disallowed unless permitted
Original evidence
Evidence 1Students may not use GenAI tools for submitted coursework unless expressly permitted.
Academic Integrity
When GenAI tools are permitted in a Dartmouth undergraduate course, students are expected to disclose or acknowledge the use according to instructor guidance or a discipline-appropriate citation method.
Review: Agent reviewed
Normalized value: permitted genai use requires acknowledgement
Original evidence
Evidence 1If the instructor does not provide specific instructions related to the acknowledgement of GenAI as a source of information, then students are expected to use a discipline-appropriate citation method to cite or acknowledge GenAI in their work.
Teaching
Dartmouth instructors may define course-specific parameters for GenAI use, and their course GenAI policies define academic-integrity expectations for that course.
Review: Agent reviewed
Normalized value: instructors define course specific genai parameters
Original evidence
Evidence 1Based on course goals, instructors may freely define the parameters for the use of GenAI within all aspects of their courses.
Privacy
Dartmouth staff guidance says only approved generative AI tools are authorized for handling DISC 2 or higher data.
Review: Agent reviewed
Normalized value: approved gai tools only for disc 2 plus data
Original evidence
Evidence 1Only approved GAI tools are authorized for handling of DISC 2+ data.
Ai Tool Treatment
For Thayer BE and graduate students, GenAI tools may be used in coursework or research only if permitted by the relevant program, advisor, or course instructor.
Review: Agent reviewed
Normalized value: thayer genai use only if permitted
Original evidence
Evidence 1Thayer students may use GenAI tools in their coursework or research only if permitted by their program, advisor, or course instructor.
Procurement
Dartmouth staff guidance directs generative AI procurement questions or planned purchases through ITC Rapid Review and risk assessment by Information Security and Data Protection.
Review: Agent reviewed
Normalized value: genai procurement rapid review risk assessment
Original evidence
Evidence 1All generative AI tools must be assessed for risk by Dartmouth’s Information Security and Data Protection team, please fill out a ITC Rapid Review
Research
Thayer guidance says cloud AI tools should not be used to process or share unpublished research, confidential project details, or intellectual property.
Review: Agent reviewed
Normalized value: thayer cloud ai confidential research ip restriction
Original evidence
Evidence 1Therefore, cloud AI tools (eg. Open AI) should not be used to process or share unpublished research, confidential project details, or intellectual property.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
3 source attribution
Generative Artificial Intelligence (AI) Policy
engineering.dartmouth.edu
Guidelines on using Generative Artificial Intelligence (GenAI) for Coursework
policies.dartmouth.edu
Using Generative AI at Dartmouth - Staff Overview
services.dartmouth.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.