Policy presence
Lehigh University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bethlehem, United States
Lehigh University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Lehigh University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Lehigh University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Lehigh University has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Lehigh University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Lehigh University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Lehigh University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Lehigh University has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Lehigh University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Lehigh University has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
Lehigh University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
8 reviewed evidence-backed public claim
Research
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.
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Lehigh research guidance requires AI data analysis or processing to be disclosed during consent.
Source Status
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.
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Lehigh describes the principles as guideposts, not policy statements or a mandate.
Privacy
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
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 [email protected].
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Lehigh requires reporting potential data protection or confidentiality breaches involving generative AI tools to Information Security.
Academic Integrity
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.
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Lehigh states that students must follow instructor course rules and university academic-integrity rules.
Research
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.
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Lehigh research guidance allows Class II acceptable AI services in human-subjects research upon IRB approval and requires Lehigh-account access.
Teaching
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.
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Lehigh advises instructors to provide clear student guidance about generative AI use.
Teaching
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.
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Lehigh CITL guidance tells faculty to directly address AI and explain whether and how students may use AI-powered tools.
0 machine or needs-review claim
4 source attribution
lts.lehigh.edu
research.lehigh.edu
ai.lehigh.edu
ai.lehigh.edu