University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

APIGitHub

Change log

Illinois Institute of Technology

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

Review: Agent reviewedLast checkedMay 17, 2026Last changedMay 17, 2026Claims5Sources3
University pagePublic JSON

Change summary

Current public record freshness and review state.

Illinois Institute of Technology currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 17, 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.

Illinois Institute of Technology current policy evidence

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

+10-0
11 # Illinois Institute of Technology AI policy record
2+source_status: Illinois Tech publishes official Academic Affairs guidance on academic honesty and generative AI, and related Center for Learning Innovation resources for teaching and learning with AI.
3+Evidence (en, 418b8f203ecc): This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.
4+academic_integrity: Illinois Tech's Academic Affairs guidance ties permitted use of generative AI or other outside resources to each course's learning objectives and syllabus expectations.
5+Evidence (en, 418b8f203ecc): This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of "outside" resources to demonstrate proficiency with that learning objective.
6+academic_integrity: Illinois Tech guidance says misrepresenting proficiency by submitting someone else's product, directly or indirectly, is academic dishonesty.
7+Evidence (en, 418b8f203ecc): Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.
8+teaching: Illinois Tech's Center for Learning Innovation asks faculty to provide clear syllabus expectations for AI use and provides suggested syllabus language for no, some, and significant AI use.
9+Evidence (en, 7c0f2c128f8a): In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.
10+teaching: Illinois Tech's suggested AI and assessment syllabus language says AI-assisted grading support should be explicitly stated in assignment instructions when such tools are used, with final grading oversight retained by the instructor.
11+Evidence (en, 7c0f2c128f8a): "While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades."

Claim changes

5 claim records

teaching

Illinois Tech's suggested AI and assessment syllabus language says AI-assisted grading support should be explicitly stated in assignment instructions when such tools are used, with final grading oversight retained by the instructor.

Review: Agent reviewedConfidence88%Evidence1Languagesen

teaching

Illinois Tech's Center for Learning Innovation asks faculty to provide clear syllabus expectations for AI use and provides suggested syllabus language for no, some, and significant AI use.

Review: Agent reviewedConfidence91%Evidence1Languagesen

academic_integrity

Illinois Tech guidance says misrepresenting proficiency by submitting someone else's product, directly or indirectly, is academic dishonesty.

Review: Agent reviewedConfidence91%Evidence1Languagesen

academic_integrity

Illinois Tech's Academic Affairs guidance ties permitted use of generative AI or other outside resources to each course's learning objectives and syllabus expectations.

Review: Agent reviewedConfidence92%Evidence1Languagesen

source_status

Illinois Tech publishes official Academic Affairs guidance on academic honesty and generative AI, and related Center for Learning Innovation resources for teaching and learning with AI.

Review: Agent reviewedConfidence93%Evidence1Languagesen

Source snapshots

3 source attributions