privacy
The YTU generative AI guide says personal, confidential, unpublished, student, patient, participant, or trade-secret information must not be entered into generative AI tools.
Open, evidence-backed AI policy records for public reuse.
Change log
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
Current public record freshness and review state.
Yildiz Technical University currently has 4 source-backed claim records and 2 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.
Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.
Inserted lines represent current public claim and evidence records in the source-backed dataset.
4 claim records
The YTU generative AI guide says personal, confidential, unpublished, student, patient, participant, or trade-secret information must not be entered into generative AI tools.
Yıldız Technical University's generative AI guide states that YTU academic personnel must disclose generative AI use beyond basic spelling and grammar checking in research, publication, thesis or academic assignment contexts.
The YTU generative AI guide states that AI-generated draft text should never be used as final text and should only be treated as a starting point that the researcher substantially rewrites or revises.
Yıldız Journal of Educational Research requires submitting authors to disclose whether AI-assisted technologies were used and to describe how they were used in the cover letter and submitted work.
2 source attributions
official_guidance checked May 18, 2026
official_guidance checked May 18, 2026