Policy presence
Lehigh University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bethlehem, United States
Lehigh University
Lehigh University has 8 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 8 reviewed claims. Last checked May 18, 2026.
Lehigh University AI policy short answer
v1 public contract
Lehigh University has 8 source-backed AI policy claims from 4 official source attributions, including 8 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 18, 2026. Discovery context: Lehigh University is listed as QS 2026 rank =668.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Lehigh University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/lehigh-university.json. The entity-level confidence is 97%. 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 Research claims.
- Evidence includes Source status claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching 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
Lehigh University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Lehigh University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Lehigh University has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Lehigh University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Lehigh University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Lehigh University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Lehigh University has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Teaching guidance
Lehigh University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Lehigh University has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Lehigh 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
8 reviewed evidence-backed public claim
Research
Lehigh's human-subjects research guidance says use of AI to analyze or process data must be disclosed to participants during consent.
Review: Agent reviewed
Normalized value: AI analysis or processing of human-subjects research data must be disclosed in the participant consent process.
Original evidence
Evidence 1Use of AI to analyze or process data must be disclosed to participants as part of the consent process. The consent language must describe which AI tools will be used during or after the study, and whether AI tools will be used to process identifiable or de-identified data.
Localized display only
Lehigh research guidance requires AI data analysis or processing to be disclosed during consent.
Source Status
Lehigh's AI guiding principles page states that the principles are shared guideposts and are not intended to function as policy statements or a mandate.
Review: Agent reviewed
Normalized value: AI guiding principles are not policy statements or a mandate.
Original evidence
Evidence 1These principles are not intended to function as policy statements or a mandate. They are shared guideposts: a common starting point to support units, departments, and teams as they continue local, discipline-appropriate conversations about productive and responsible AI use.
Localized display only
Lehigh describes the principles as guideposts, not policy statements or a mandate.
Privacy
Lehigh tells faculty, staff, students, and affiliates that institutional, restricted, or critical data may not be submitted to online systems including generative AI tools.
Review: Agent reviewed
Normalized value: Do not submit institutional, restricted, or critical data to generative AI or other online information systems.
Original evidence
Evidence 1For this reason you may not submit institutional data, restricted data, or critical data-this restriction is covered by Lehigh's Acceptable Use of Computing Systems Policy.
Localized display only
Lehigh says institutional, restricted, or critical data may not be submitted to these systems, including generative AI tools.
Security Review
Lehigh says community members who learn of a potential data protection or confidentiality breach through generative AI tools or otherwise are required to report it to the Office of Information Security.
Review: Agent reviewed
Normalized value: Potential data protection or confidentiality breaches involving generative AI must be reported to Lehigh's Office of Information Security.
Original evidence
Evidence 1Any member of the Lehigh community who learns of a potential breach of data protection or confidentiality- through the use of Generative AI tools or otherwise -is required by Section 5 of Lehigh's Acceptable Use Policy to report the incident to the Office of Information Security at security@lehigh.edu.
Localized display only
Lehigh requires reporting potential data protection or confidentiality breaches involving generative AI tools to Information Security.
Academic Integrity
Lehigh says students are expected to follow instructor-set course rules and university academic integrity rules when using generative AI.
Review: Agent reviewed
Normalized value: Student generative AI use is governed by course-specific instructor rules and university academic integrity rules.
Original evidence
Evidence 1Students are expected to follow course-specific rules set by their instructors as well as academic integrity rules set by the university, as captured in the Student Code of Conduct.
Localized display only
Lehigh states that students must follow instructor course rules and university academic-integrity rules.
Research
Lehigh says AI services acceptable for Class II data may be used in human-subjects research upon IRB approval, while unapproved services should be reviewed with LTS for data-security requirements.
Review: Agent reviewed
Normalized value: Class II acceptable AI services require IRB approval for human-subjects research use; unapproved services should be checked with LTS.
Original evidence
Evidence 1Services that are acceptable for Class II data may be used in human subjects research upon approval from the IRB. In order to avoid security breaches, you must access these AI services via your Lehigh account.
Localized display only
Lehigh research guidance allows Class II acceptable AI services in human-subjects research upon IRB approval and requires Lehigh-account access.
Teaching
Lehigh advises instructors to give students clear guidance on how generative AI tools may be used in coursework and research.
Review: Agent reviewed
Normalized value: Instructors are advised to provide clear student guidance on generative AI use in coursework and research.
Original evidence
Evidence 1Instructors are advised to give students clear guidance on the use of Generative AI tools for coursework and research.
Localized display only
Lehigh advises instructors to provide clear student guidance about generative AI use.
Teaching
Lehigh's CITL guidance tells faculty to directly address generative AI and provide explicit guidance about whether and how students may use AI-powered tools in class.
Review: Agent reviewed
Normalized value: Faculty classroom guidance should address AI directly and state whether and how AI-powered tools may be used.
Original evidence
Evidence 1Directly address generative AI in your classroom, in your syllabi, in each assignment prompt, and in course materials. Provide students with explicit guidance about whether and how they may use AI-powered tools in your class.
Localized display only
Lehigh CITL guidance tells faculty to directly address AI and explain whether and how students may use AI-powered tools.
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
4 source attribution
CITL Guidance for Faculty on Generative AI in the Classroom | Library & Technology Services
lts.lehigh.edu
Guidance: Generative AI and Human Subjects Research | Office of the Vice Provost for Research
research.lehigh.edu
Guiding Principles | Artificial Intelligence at Lehigh
ai.lehigh.edu
Policies and Best Practices | Artificial Intelligence at Lehigh
ai.lehigh.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.