11 # University of Calcutta AI policy record
2+academic_integrity: The University of Calcutta IP Policy says the university is not responsible for copyright/IP violations when generative AI is used to generate content for publication, thesis, dissertation, or course material, and says faculty members, students, researchers, and staff will be held accountable for AI authorship associated with LLMs.
3+Evidence (en, 0f56d6131c69): The 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).
4+academic_integrity: The University of Calcutta IP Policy says generative AI may be used responsibly and ethically, if at all, for fine-tuning, analyzing, or summarizing content, and says that use needs to be disclosed with the model name, version, source, description, and usage.
5+Evidence (en, 0f56d6131c69): Generative 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].
6+privacy: The University of Calcutta IP Policy strongly discourages the university fraternity from uploading sensitive and confidential documents into generative AI tools to prevent leakage of proprietary information.
7+Evidence (en, 0f56d6131c69): The University fraternity is strongly discouraged from uploading sensitive and confidential documents into generative AI tools to prevent leakage of proprietary information.
8+ai_tool_treatment: The University of Calcutta IP Policy says generative AI tools may be allowed for checking spelling and grammar, improving readability, checking plagiarism, and conducting research on AI itself.
9+Evidence (en, 0f56d6131c69): Generative 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.