Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Current AI detection tools are unreliable and frequently produce false positives that disproportionately affect multilingual writers and students who use writing tools such as grammar checkers or the word prediction feature in Microsoft Word.
The University of Louisville Delphi Center says current AI detection tools are unreliable, raise data privacy, FERPA, and student-consent risks, and should never be the sole basis for an academic integrity decision.
Rather than asking whether a student used AI, it asks whether the assessment is designed in a way that makes authentic engagement more valuable than AI substitution(Su et al., 2024).
The University of Louisville Delphi Center frames generative and agentic AI as a teaching and assessment-design issue, advising instructors to design assessments so authentic engagement is more valuable than AI substitution rather than focusing on policing student behavior.
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Current AI detection tools are unreliable and frequently produce false positives that disproportionately affect multilingual writers and students who use writing tools such as grammar checkers or the word prediction feature in Microsoft Word.
The University of Louisville Delphi Center says current AI detection tools are unreliable, raise data privacy, FERPA, and student-consent risks, and should never be the sole basis for an academic integrity decision.
Rather than asking whether a student used AI, it asks whether the assessment is designed in a way that makes authentic engagement more valuable than AI substitution(Su et al., 2024).
The University of Louisville Delphi Center frames generative and agentic AI as a teaching and assessment-design issue, advising instructors to design assessments so authentic engagement is more valuable than AI substitution rather than focusing on policing student behavior.
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
Current AI detection tools are unreliable and frequently produce false positives that disproportionately affect multilingual writers and students who use writing tools such as grammar checkers or the word prediction feature in Microsoft Word.
The University of Louisville Delphi Center says current AI detection tools are unreliable, raise data privacy, FERPA, and student-consent risks, and should never be the sole basis for an academic integrity decision.
Rather than asking whether a student used AI, it asks whether the assessment is designed in a way that makes authentic engagement more valuable than AI substitution(Su et al., 2024).
The University of Louisville Delphi Center frames generative and agentic AI as a teaching and assessment-design issue, advising instructors to design assessments so authentic engagement is more valuable than AI substitution rather than focusing on policing student behavior.
UofL ITS AI guidance states that federal privacy regulations and the NIST AI Risk Management Framework should be followed, and that users are individually responsible for misuse of systems and data mishandling involving student data, intellectual property, and protected personal information.
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Coming Soon - Not Currently Available. The purpose of AI (Artificial Intelligence) and Generative AI Tool access request services is to provide the UofL community with a secure, compliant and supported process for requesting access to generative AI platforms and university-approved tools.
The UofL service catalog describes an AI / GenAI Tools access request service, but marks it as coming soon and not currently available; the described process would limit access to approved university platforms and use cases and require intended use, data sensitivity, and compliance considerations.
UofL's Brand Identity site publishes an Artificial Intelligence Content Policy page for university brand communications, but the page explicitly states that it is a draft policy awaiting approval by the University of Louisville administration.
Current AI detection tools are unreliable and frequently produce false positives that disproportionately affect multilingual writers and students who use writing tools such as grammar checkers or the word prediction feature in Microsoft Word.
The University of Louisville Delphi Center says current AI detection tools are unreliable, raise data privacy, FERPA, and student-consent risks, and should never be the sole basis for an academic integrity decision.
Rather than asking whether a student used AI, it asks whether the assessment is designed in a way that makes authentic engagement more valuable than AI substitution(Su et al., 2024).
The University of Louisville Delphi Center frames generative and agentic AI as a teaching and assessment-design issue, advising instructors to design assessments so authentic engagement is more valuable than AI substitution rather than focusing on policing student behavior.
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
No source-backed public claim about AI security review or procurement is present in this profile.
Security and procurementUniversity of Louisville
Not mentioned in reviewed sources
Status & scope
Scope stated in the cited claims
Original official evidence
No reviewed evidence is included for this topic. This does not establish that no rule exists.
Record updatesLast 90 days
Updates to this site's reviewed record, not confirmation that the university changed its policy.
Update records are not available for this page yet.
Reviewed record
Reviewed claims
7 reviewed claims
Academic Integrity 1 reviewed claim
Academic Integrity
The University of Louisville Delphi Center says current AI detection tools are unreliable, raise data privacy, FERPA, and student-consent risks, and should never be the sole basis for an academic integrity decision.
Review: Agent reviewedConfidence91%
Normalized value: ai_detection_not_sole_basis
Last checked
May 24, 2026
Last changed
May 24, 2026
Original evidence
Evidence 1
Current AI detection tools are unreliable and frequently produce false positives that disproportionately affect multilingual writers and students who use writing tools such as grammar checkers or the word prediction feature in Microsoft Word.
Localized display only
The page says AI detection tools are unreliable and can produce false positives, especially affecting multilingual writers and users of writing tools.
Source language
English (en)
Snapshot hash
281145a7…
Retrieved
May 24, 2026
Evidence locator
On the Use of AI Detection Tools
Teaching 2 reviewed claims
Teaching
The University of Louisville Delphi Center frames generative and agentic AI as a teaching and assessment-design issue, advising instructors to design assessments so authentic engagement is more valuable than AI substitution rather than focusing on policing student behavior.
Rather than asking whether a student used AI, it asks whether the assessment is designed in a way that makes authentic engagement more valuable than AI substitution(Su et al., 2024).
Localized display only
The guidance frames assessment design around making authentic engagement more valuable than AI substitution.
Source language
English (en)
Snapshot hash
281145a7…
Retrieved
May 24, 2026
Evidence locator
Desirable Difficulties and Assessment Design
Teaching
The University of Louisville Delphi Center provides sample syllabus statements for three generative AI approaches: not permitted, permitted with prior instructor permission and appropriate attribution and citation, or allowed without restrictions.
Review: Agent reviewedConfidence87%
Normalized value: sample_syllabus_ai_options
Last checked
May 24, 2026
Last changed
May 24, 2026
Original evidence
Evidence 1
Sample Statement 2: The use of Generative AI may be used with prior instructor permission and appropriate attribution and citation.
Localized display only
One sample statement allows generative AI with prior instructor permission plus attribution and citation; the same page also lists no-use and unrestricted-use samples.
Source language
English (en)
Snapshot hash
b0c68e6f…
Retrieved
May 24, 2026
Evidence locator
Artificial Intelligence (AI)
Privacy 1 reviewed claim
Privacy
UofL ITS AI guidance states that federal privacy regulations and the NIST AI Risk Management Framework should be followed, and that users are individually responsible for misuse of systems and data mishandling involving student data, intellectual property, and protected personal information.
A fundamental mandate (and a legal requirement) is that federal privacy regulations and NIST AI risk management framework be followed.
Localized display only
ITS says AI use should follow federal privacy regulations and the NIST AI Risk Management Framework.
Source language
English (en)
Snapshot hash
99aa98dc…
Retrieved
May 24, 2026
Evidence locator
Data privacy and ownership
AI tool use 1 reviewed claim
Ai Tool Treatment
Microsoft 365 Copilot is listed for University of Louisville in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Review: Agent reviewedConfidence97%
Normalized value: {"tool":"microsoft_copilot_for_m365","rawToolName":"Microsoft 365 Copilot","description":"University of Louisville provides or institutionally supports Microsoft 365 Copilot.","howToObtain":"Use UofL credentials and obtain the required paid licence.","costToUser":"No individual price is stated.","availability":"allowed","endorsementType":"institutionally_licensed_or_procured"}
Last checked
Jul 19, 2026
Last changed
Jul 19, 2026
Original evidence
Evidence 1
Some tools require specific permissions or paid licenses (e.g., Microsoft 365 Copilot)
Localized display only
Some tools require specific permissions or paid licenses (e.g., Microsoft 365 Copilot)
Source language
English (en)
Snapshot hash
bc604493…
Retrieved
Jul 19, 2026
Original evidence
Evidence 2
You need an active UofL login credentials
Localized display only
You need an active UofL login credentials
Source language
English (en)
Snapshot hash
bc604493…
Retrieved
Jul 19, 2026
Source Status 2 reviewed claims
Source Status
UofL's Brand Identity site publishes an Artificial Intelligence Content Policy page for university brand communications, but the page explicitly states that it is a draft policy awaiting approval by the University of Louisville administration.
Review: Agent reviewedConfidence86%
Normalized value: draft_brand_ai_content_policy
Last checked
May 24, 2026
Last changed
May 24, 2026
Original evidence
Evidence 1
This is a draft policy awaiting approval by the University of Louisville administration.
Localized display only
The Brand AI Content Policy page is explicitly labeled as a draft awaiting approval.
Source language
English (en)
Snapshot hash
2af75498…
Retrieved
May 24, 2026
Evidence locator
Sidebar alert
Source Status
The UofL service catalog describes an AI / GenAI Tools access request service, but marks it as coming soon and not currently available; the described process would limit access to approved university platforms and use cases and require intended use, data sensitivity, and compliance considerations.
Coming Soon - Not Currently Available. The purpose of AI (Artificial Intelligence) and Generative AI Tool access request services is to provide the UofL community with a secure, compliant and supported process for requesting access to generative AI platforms and university-approved tools.
Localized display only
The service page marks the AI / GenAI Tools access request service as coming soon and not currently available.
Source language
English (en)
Snapshot hash
2cdfc2ce…
Retrieved
May 24, 2026
Evidence locator
AI / GenAI Tools
Source record
Official sources
6 sources
6 official URLs; 6 source attributions and their captured versions retained.
AI / GenAI Tools
service.louisville.edu
University official source
service.louisville.edu
Hash and captured version
AI / GenAI Tools · 2026-05-24T14:21:00.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
Citation: University AI Policy Tracker. "University of Louisville AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/university-of-louisville
Original university source language remains canonical. This tracker is not an official university statement.
Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.
Questions students ask
Questions students ask
Can I use AI for my coursework?
University of Louisville has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
