Bangalore, India

Indian Institute of Science

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Reviewed record

Afirmaciones revisadas

3 reviewed claims

Privacidad

IISc faculty-facing AI guidance says entering data into an open AI tool should be treated like posting it publicly unless there are strong reasons to trust the tool, and says not to input sensitive, confidential, or restricted information into open AI tools.

Revisión: Revisado por un agenteConfianza94%

Valor normalizado: do_not_input_sensitive_confidential_restricted_information

Evidencia original

Evidencia 1
Hence, entering data into an AI tool should be regarded as equivalent to posting it in public (unless there are strong reasons to trust that a specific tool will not use your queries). Do not enter, contribute, or otherwise input sensitive, confidential, or restricted information into open AI tools.

Vista localizada only

The faculty presentation warns against entering sensitive, confidential, or restricted information into open AI tools.

Investigación

The IISc committee report recommends full, precise, and transparent disclosure of generative AI use in research publications, theses, and other Institute documents, with details depending on how the tools were used.

Revisión: Revisado por un agenteConfianza93%

Valor normalizado: research_disclosure_recommended

Evidencia original

Evidencia 1
Use of generative AI should be fully disclosed, with attribution that is precise, transparent, and with adequate details. In particular, when one is using generative AI in publications, one should follow the guidelines of the Journal, Conference, or Publisher. For thesis and other Institute documents, one should follow the guidelines for publications given below.

Vista localizada only

The report recommends detailed disclosure and attribution for generative AI use in publications, theses, and other Institute documents.

Enseñanza

An IISc committee report recommends 'allowed with attribution' as the default institutional policy for AI tool use in courses, while allowing instructors, departments, divisions, or programmes to tailor the baseline policy.

Revisión: Revisado por un agenteConfianza91%

Valor normalizado: recommended_default_allowed_with_attribution

Evidencia original

Evidencia 1
We recommend allowed with attribution as the default institutional policy. This default policy should be articulated via an appropriate channel, such as the Student Handbook. Furthermore, this default policy can be tailored at each level in the hierarchy: individual course instructor, department, division, or programme.

Vista localizada only

The committee recommends an allowed-with-attribution default for coursework AI use, with tailoring by instructors or academic units.

Source record

Fuentes oficiales

2 sources

Record information, JSON & citation
Revisiónagent reviewedConfianza94%Snapshot statusNo publicadoJSONJSON público

Citation: University AI Policy Tracker. "Indian Institute of Science AI Policy Tracker record." Last checked May 15, 2026. https://eduaipolicy.org/universities/indian-institute-of-science

Original university source language remains canonical. This tracker is not an official university statement.

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