University AI Policy Tracker
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Bangalore, India

Indian Institute of Science

排行榜QS World University Rankings 2026: =219Updated2026年5月15日

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Reviewed record

已审核主张

3 reviewed claims

隐私

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.

审核: 智能体已审核置信度94%

标准化值: do_not_input_sensitive_confidential_restricted_information

最后检查时间
2026年5月15日
最后更改时间
2026年5月15日

原始证据

证据 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.

本地化显示 only

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

来源语言
English (en)
快照哈希
704962d4…
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2026年5月15日
证据定位器
Private and Confidential information slide

研究

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.

审核: 智能体已审核置信度93%

标准化值: research_disclosure_recommended

最后检查时间
2026年5月15日
最后更改时间
2026年5月15日

原始证据

证据 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.

本地化显示 only

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

来源语言
English (en)
快照哈希
711c2189…
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2026年5月15日
证据定位器
Section 6, Disclosure and Attribution

教学

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.

审核: 智能体已审核置信度91%

标准化值: recommended_default_allowed_with_attribution

最后检查时间
2026年5月15日
最后更改时间
2026年5月15日

原始证据

证据 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.

本地化显示 only

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

来源语言
English (en)
快照哈希
711c2189…
已检索
2026年5月15日
证据定位器
Section 5.3, Transparent and Simple Course Policies

Source record

官方来源

2 sources

Record information, JSON & citation
审核agent reviewed置信度94%Snapshot status未发布JSON公开 JSON

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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