Policy presence
University of Calcutta has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kolkata, India
University of Calcutta has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Calcutta has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
University of Calcutta has 3 source-backed public claims for coursework; deterministic analysis status: required.
University of Calcutta has 3 source-backed public claims for exams; deterministic analysis status: required.
University of Calcutta has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Calcutta has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
University of Calcutta has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
University of Calcutta has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Calcutta has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
University of Calcutta has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
University of Calcutta has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: AI-generated content for publication, thesis, dissertation, or course material is linked to user accountability for AI authorship under the IP Policy.
Original evidence
Evidence 1The University will not be responsible for copyright/IP violations in instances where generative AI is used to generate content for publication, thesis, dissertation, or course material. The faculty members/students/researchers/staff will be held accountable for the AI authorship associated with Large Language Models (LLMs).
Academic Integrity
Normalized value: Responsible and ethical generative AI use for fine-tuning, analyzing, or summarizing content needs disclosure of model details and usage.
Original evidence
Evidence 1Generative AI may be used responsibly and ethically, if at all, for fine-tuning, analyzing, or summarizing content, and the use of the same need to be disclosed [model’s name, version, source, description, and usage].
Privacy
Normalized value: Strongly discourages uploading sensitive and confidential documents to generative AI tools.
Original evidence
Evidence 1The University fraternity is strongly discouraged from uploading sensitive and confidential documents into generative AI tools to prevent leakage of proprietary information.
Ai Tool Treatment
Normalized value: Generative AI tools may be allowed for spelling and grammar checks, readability improvement, plagiarism checking, and AI research.
Original evidence
Evidence 1Generative AI tools may be allowed on the following grounds a. checking spelling and Grammar; b. improving readability; c. checking plagiarism; d. conducting research on AI itself.
0 machine or needs-review claim
1 source attribution
caluniv.ac.in