Change log

Lehigh University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

Lehigh University currently has 8 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 18, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Lehigh University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+16-0
11 # Lehigh University AI policy record
2+research: Lehigh's human-subjects research guidance says use of AI to analyze or process data must be disclosed to participants during consent.
3+Evidence (en, 2697ddf845a8): Use 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.
4+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.
5+Evidence (en, 734625c8ba8d): These 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.
6+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.
7+Evidence (en, f4c453d3b18d): For 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.
8+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.
9+Evidence (en, f4c453d3b18d): Any 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.
10+academic_integrity: Lehigh says students are expected to follow instructor-set course rules and university academic integrity rules when using generative AI.
11+Evidence (en, f4c453d3b18d): Students 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.
12+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.
13+Evidence (en, 2697ddf845a8): Services 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.
14+teaching: Lehigh advises instructors to give students clear guidance on how generative AI tools may be used in coursework and research.
15+Evidence (en, f4c453d3b18d): Instructors are advised to give students clear guidance on the use of Generative AI tools for coursework and research.
16+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.
17+Evidence (en, 17bf8c5e6365): Directly 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.

Claim changes

8 claim records

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 reviewedConfidence97%Evidence1Languagesen

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 reviewedConfidence97%Evidence1Languagesen

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 reviewedConfidence96%Evidence1Languagesen

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 reviewedConfidence95%Evidence1Languagesen

academic_integrity

Lehigh says students are expected to follow instructor-set course rules and university academic integrity rules when using generative AI.

Review: Agent reviewedConfidence94%Evidence1Languagesen

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 reviewedConfidence94%Evidence1Languagesen

teaching

Lehigh advises instructors to give students clear guidance on how generative AI tools may be used in coursework and research.

Review: Agent reviewedConfidence92%Evidence1Languagesen

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 reviewedConfidence90%Evidence1Languagesen

Source snapshots

4 source attributions