Policy presence
Northwestern University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Evanston, United States
Northwestern University
Northwestern University has 6 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 10, 2026.
Northwestern University AI policy short answer
v1 public contract
Northwestern University has 6 source-backed AI policy claims from 6 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 10, 2026. Discovery context: Northwestern University is listed as QS 2026 rank =42.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Northwestern University as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/northwestern-university.json. The entity-level confidence is 98%. 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 Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Named AI services detected in public claims: ChatGPT, Microsoft Copilot, Gemini, Midjourney.
- Privacy, sensitive-data, or security 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Northwestern University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Northwestern University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Northwestern University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Northwestern University has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Northwestern University has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Northwestern University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Northwestern University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
Northwestern University 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
6 reviewed evidence-backed public claim
Privacy
Northwestern guidance states that faculty, staff, students, and affiliates should not enter institutional data into any generative AI tools that have not been validated by the University for appropriate use and have explicit permission of the data provider.
Review: Agent reviewed
Normalized value: no_institutional_data_in_unvalidated_ai
原始证据
Evidence 1University faculty, staff, students, and affiliates should not enter institutional data into any generative AI tools that have not been validated by the University for appropriate use and have explicit permission of the data provider.
Teaching
Northwestern provides instructors with three course-level AI policy options: Open (GAI permitted), Conditional (GAI permitted when explicitly authorized), and Closed (GAI prohibited).
Review: Agent reviewed
Normalized value: three_course_ai_policy_options
原始证据
Evidence 1As with other course features, instructors are free to integrate generative artificial intelligence (GAI) to support their teaching goals. Instructors should carefully consider whether and how they will allow the use of GAI in their courses. All instructors should clearly communicate their expectations or requirements to students to avoid confusion. It may help to consider three main options: Open: The use of GAI is permitted. Conditional: The use of GAI is permitted when explicitly authorized by the instructor. Closed: The use of GAI is prohibited.
Privacy
Northwestern classifies data into four levels. Only Level 1 (non-confidential, public) data may be uploaded to publicly available generative AI tools. Data above Level 1 requires tools approved through Northwestern IT procurement and security review.
Review: Agent reviewed
Normalized value: data_classification_levels_ai_use
原始证据
Evidence 1To determine whether your data requires special attention, consult Northwestern Data Classification Policy. If your data is Level 1 (non-confidential and public data), uploading it to generative AI tools is permissible. To process data above Level 1, any generative AI tool must have been approved through Northwestern IT procurement and security review processes.
Ai Tool Treatment
Microsoft Copilot is Northwestern's primary approved generative AI tool. All students, faculty, and staff have access to free Copilot Chat, with full Copilot for Microsoft 365 available as a paid subscription.
Review: Agent reviewed
Normalized value: copilot_primary_approved_tool
原始证据
Evidence 1Microsoft Copilot is the primary, general-use AI tool available at Northwestern. All Northwestern students, faculty, and staff have access to the free Copilot Chat, and faculty and staff can use the full Copilot for Microsoft 365 Copilot capabilities with an add-on paid subscription. When you are logged into these services with your Northwestern NetID, your data is protected and operates fully within Northwestern security, compliance, and data boundaries.
Academic Integrity
Unauthorized use of ChatGPT or other Generative AI tools is considered cheating and/or plagiarism per Northwestern Academic Integrity guidelines.
Review: Agent reviewed
Normalized value: unauthorized_ai_use_is_cheating
原始证据
Evidence 1Unauthorized use of ChatGPT or other Generative AI tools is considered cheating and/or plagiarism in Academic Integrity: A Basic Guide.
Ai Tool Treatment
Microsoft Copilot, when signed in with a Northwestern Microsoft account, is approved for Level 2 and generally Level 3 data. Publicly available AI tools (ChatGPT, Gemini, MidJourney) may only be used with Level 1 public data.
Review: Agent reviewed
Normalized value: copilot_approved_for_sensitive_data
原始证据
Evidence 1The following table outlines Northwestern current services posture based on data classification: Conversational/Interactive Mode - Public Data (Level 1): Use of publicly available tools (e.g., ChatGPT, Copilot, Bard/Gemini, MidJourney, etc.). Sensitive/Regulated Data (Level 2, Level 3, Level 4): Microsoft Copilot, when signed in with a Northwestern Microsoft account for Level 2 and Level 3 data.
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
6 source attribution
Academic Integrity & Citing AI - Using AI Tools in Your Research
libguides.northwestern.edu
Generative AI on Your Terms: Data and Privacy 101
it.northwestern.edu
Getting Started with Generative AI
it.northwestern.edu
Instructor Options
it.northwestern.edu
Northwestern Guidance on the Use of Generative AI
it.northwestern.edu
Overview of Generative AI for Learning
northwestern.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.