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Cornell University
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Cornell University public-release-20260523-001 perbezaan
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11 # Cornell University AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+other: Cornell's Center for Teaching Innovation recommends that faculty discuss course policies and expectations around the use of generative AI tools with their students and clearly communicate when and in what ways use of such tools is permitted or not.
5+Evidence (en, 9e356eb6cdc5): We recommend discussing course policies and expectations around their use, and clearly communicating with your students when and in what ways use of generative AI tools are permitted – or not.
46 ## Newly extracted tracker claim
57 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
8+other: Cornell developed a set of course policy icons through the GenAI Advisory Council to help instructors clearly and consistently communicate AI use expectations to students in syllabi and assignment instructions.
9+Evidence (en, dc5bf374079a): A set of course policy icons has been developed by the GenAI Advisory Council to help Cornell instructors communicate with students about appropriate AI use for different courses and assignments. They are downloadable and can be incorporated into your syllabus or assignment instructions, to help provide clear guidance to students about course expectations.
610 ## Newly extracted tracker claim
711 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
12+other: Cornell describes measures faculty may use to evaluate potential AI-related academic integrity concerns, including requiring students to verify citations and references, requesting verification of references or methods, and informing students that they should expect to verbally explain submitted work.
13+Evidence (en, dc5bf374079a): Require that students verify the accuracy of all citations and references they include in their work. Request that students provide verification of references or methods, with a student's response determining whether a formal academic integrity notification is warranted. ... Inform and remind students that they should expect to verbally explain the work they submitted.
814 ## Newly extracted tracker claim
915 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
16+other: Cornell's committee report states that any information educators are obligated to keep private under FERPA or HIPAA should not be shared with generative AI tools or uploaded to third-party AI vendors.
17+Evidence (en, deeacd6dce5b): GAI tools pose potential privacy risks because data that is shared may be used as training data by the third-party vendor providing the service. Therefore, any information that educators are obligated to keep private, for example, under the Family Educational Rights and Privacy Act (FERPA) or the Health Insurance Portability and Accountability Act (HIPAA), should not be shared with such tools or uploaded to these third party vendors of GAI.
1018 ## Newly extracted tracker claim
1119 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
20+other: Cornell's committee report states that original research or content owned by Cornell University, students, or employees should not be uploaded to AI tools, as it can become part of the AI tool's training data.
21+Evidence (en, deeacd6dce5b): GAI tools also have implications for intellectual property rights. Original research or content that is owned by Cornell University, our students, or employees should not be uploaded to these tools, since they can become part of the training data used by the GAI tools.
1222 ## Newly extracted tracker claim
1323 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+other: Cornell's committee report does not recommend the use of generative AI for summative evaluation or grading of student work, stating that evaluation and grading is among the most important tasks entrusted to faculty.
25+Evidence (en, deeacd6dce5b): While GAI may have selective utility in assisting in providing feedback for low-stakes formative assessment (for example in practice problems), we currently do NOT recommend it be used in summative evaluation of student work. Evaluation and grading of students is among the most important tasks entrusted to faculty, and the integrity of the grading process is reliant on the primary role of the faculty member.
1426 ## Newly extracted tracker claim
1527 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
28+other: Cornell's committee report recommends that the Code of Academic Integrity be updated with clear and explicit language on the use of generative AI, indicating that individual faculty have authority to determine when AI use is prohibited, attributed, or encouraged.
29+Evidence (en, deeacd6dce5b): The Code of Academic Integrity should be updated with clear and explicit language on the use of GAI, specifically indicating that individual faculty have authority to determine when its use is prohibited, attributed, or encouraged, and that use of GAI on assignments by students is only allowed when expressly permitted by the faculty member.
1630 ## Newly extracted tracker claim
1731 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
32+other: Cornell's committee report recommends three policy approaches for generative AI use: prohibit GAI where it interferes with foundational learning, allow with attribution where it supports higher-level thinking, and encourage use where it enables exploration and creative thinking.
33+Evidence (en, deeacd6dce5b): We recommend instructors consider three kinds of policies either for individual assignments or generally in their courses. To prohibit the use of GAI where it interferes with the student developing foundational understanding, skills, and knowledge needed for future courses and careers. To allow with attribution where GAI could be a useful resource, but the instructor needs to be aware of its use by the student and the student must learn to take responsibility for accuracy and correct attribution of GAI-generated content. To encourage and actively integrate GAI into the learning process where students can leverage GAI to focus on higher-level learning objectives, explore creative ideas, or...
1834 ## Newly extracted tracker claim
1935 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
36+other: Cornell's committee report discourages the use of automatic detection algorithms for academic integrity violations using generative AI, stating they cannot decisively provide evidence and could lead to unfairly identifying violations, including bias against non-native speakers.
37+Evidence (en, deeacd6dce5b): We currently discourage the use of automatic detection algorithms for academic integrity violations using GAI, given their unreliability and current inability to provide definitive evidence of violations.
2038 ## Newly extracted tracker claim
2139 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
40+other: Cornell's IT guidelines state that users are accountable for their work regardless of the tools used to produce it, and when using generative AI tools must always verify information for errors and biases and exercise caution to avoid copyright infringement.
41+Evidence (en, b1a7c670aa0b): You are accountable for your work, regardless of the tools you use to produce it. When using generative AI tools, always verify the information for errors and biases and exercise caution to avoid copyright infringement.
2242 ## Newly extracted tracker claim
2343 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
44+other: Cornell's IT guidelines prohibit entering any confidential, proprietary, federally or state regulated, or otherwise sensitive or restricted Cornell information into public generative AI tools, as such information becomes public and may be stored and used by anyone.
45+Evidence (en, b1a7c670aa0b): If you are using public generative AI tools, you cannot enter any Cornell information, or another person's information, that is confidential, proprietary, subject to federal or state regulations, or otherwise considered sensitive or restricted. Any information you provide to public generative AI tools is considered public and may be stored and used by anyone else.
2446 ## Newly extracted tracker claim
2547 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
48+other: Cornell has established seven core principles for generative AI in education: integrity of the faculty-student relation, commitment to experimentation and evidence, centrality of faculty judgment, responsiveness to student needs, recognition of both AI goods and harms, respect for institutional and disciplinary heterogeneity, and renewal of Cornell's core mission and values.
49+Evidence (en, 9e356eb6cdc5): Cornell's response to generative AI in teaching and learning is built around seven core principles. We invite instructors to consider these principles as they make decisions and talk with their students and colleagues about generative AI and learning: The integrity of the faculty-student relation. A commitment to experimentation, evidence and learning from experience. The centrality of faculty judgment and expertise in the classroom. Responsiveness to real student needs and uses. Recognition of both AI 'goods' and 'harms'. Respect for institutional and disciplinary heterogeneity. The extension and renewal of Cornell's core mission and values.
2650 ## Newly extracted tracker claim
2751 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
52+other: Cornell's IT guidelines endorse a flexible framework in which faculty and instructors can choose to prohibit, allow with attribution, or encourage generative AI use in education.
53+Evidence (en, b1a7c670aa0b): Cornell encourages a flexible framework in which faculty and instructors can choose to prohibit, to allow with attribution, or to encourage generative AI use.
2854 ## Newly extracted tracker claim
2955 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
56+other: Cornell's IT guidelines state that use of generative AI in academic research is governed by the Cornell University Task Force Report 'Generative AI in Academic Research: Perspectives and Cultural Norms' (December 2023).
57+Evidence (en, b1a7c670aa0b): The Cornell University Task Force Report, Generative AI in Academic Research: Perspectives and Cultural Norms (December 2023), offers perspectives and practical guidelines to the Cornell community on the use of generative AI in the practice and dissemination of academic research.
3058 ## Newly extracted tracker claim
3159 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
60+other: Cornell's IT guidelines state that use of generative AI for administrative purposes must comply with the Cornell Generative AI in Administration Task Force Report (January 2024).
61+Evidence (en, b1a7c670aa0b): The use of generative AI for administration purposes must comply with the guidelines of the Cornell Generative AI in Administration Task Force Report (January 2024).
3262 ## Newly extracted tracker claim
3363 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
64+other: Cornell established the GenAI Education Working Group in spring 2024 with all-college representation including faculty, staff, and students, as the central body for developing new ideas, policies, and practices around generative AI in the classroom.
65+Evidence (en, 67ef8f74e8a6): Established in spring 2024 with all-college representation including faculty, staff and students, the Cornell GenAI Education Working Group, a part of the university-wide AI Advisory Council, is the central place in which new ideas, policies and practices around GenAI in the classroom are being worked out at Cornell.
3466 ## Newly extracted tracker claim
3567 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
68+other: Cornell's 'AI+AI' initiative aims to strengthen and update academic integrity procedures to better reflect the presence of generative AI, including better models for attributing student use of GenAI and development of evidentiary standards for adjudicating GenAI-related violations.
69+Evidence (en, 67ef8f74e8a6): 'AI+AI': efforts to strengthen and update Cornell's academic integrity procedures to better reflect the presence of GenAI, including better models for attributing student use of GenAI in assignments or course settings; efforts to streamline, strengthen, and reform the university's academic integrity system; and the development of evidentiary standards and processes appropriate to the adjudication of GenAI-related violations of academic integrity.
3670 ## Newly extracted tracker claim
3771 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
72+other: Cornell developed seven standardized AI course policy icons (ANY-AI, AT, UA, PP, AS, ER, AI-FREE) to help instructors clearly communicate AI use expectations in syllabi and assignments, which can be combined for nuanced policies.
73+Evidence (en, 04f6b71ef9ef): These icons have been developed to help you clearly and consistently communicate your expectations. They can be used on the syllabus to convey an overall course approach. They can also be used for individual assignments, allowing you to distinguish different policies for different assignments with different learning goals. Icons can be combined to more fully reflect your course policy.
3874 ## Newly extracted tracker claim
3975 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
76+other: Cornell's AI course policy icons include a 'PP' (Privacy Protecting) icon indicating that generative AI use is permitted but no copyrighted or proprietary class materials should be uploaded unless otherwise specified.
77+Evidence (en, 04f6b71ef9ef): PP (Privacy Protecting—No Proprietary Materials): GenAI use permitted, but no uploading of copyrighted or proprietary class materials unless otherwise specified.
4078 ## Newly extracted tracker claim
4179 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
80+other: Cornell considers generative AI literacy essential for both students and faculty, defining it as the ability to understand, evaluate, and critically engage with generative AI technologies.
81+Evidence (en, 9e356eb6cdc5): The need for AI literacy is essential for students and faculty alike. We can think of ethical generative AI literacies as the ability to understand, evaluate, and critically engage with generative AI technologies.
4282 ## Newly extracted tracker claim
4383 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
84+other: Cornell recommends that faculty clearly communicate their generative AI policies in their syllabus, in assignment instructions, and verbally in class to support student learning and reduce academic integrity violations.
85+Evidence (en, dc5bf374079a): To best support student learning and reduce violations of academic integrity, be sure to clearly communicate your policies regarding the use of generative AI in your syllabus, in assignment instructions, and verbally in class.
4486 ## Newly extracted tracker claim
4587 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
88+other: When generative AI use is permitted in a course, Cornell advises instructors to clarify expectations for documentation and attribution, including citing the AI tool creator (e.g., OpenAI for ChatGPT) when directly quoting AI-generated text in both in-text citations and reference lists.
89+Evidence (en, dc5bf374079a): When generative AI is permitted, clarify expectations for documentation and attribution, as well as what aspects of the work should be produced by the students themselves. ... students should attribute directly quoted text to the creator of the generative AI tool used (e.g., cite OpenAI when directly quoting ChatGPT). This attribution should be used for both in-text citations and your reference list.
4690 ## Newly extracted tracker claim
4791 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
92+other: Cornell holds students responsible for verifying the accuracy of AI-generated output and references when AI use is allowed for an assignment.
93+Evidence (en, dc5bf374079a): Discuss with students how generative AI output can be incorrect or problematic and that they are responsible for verifying the output and references if AI use is allowed for an assignment.
4894 ## Newly extracted tracker claim
4995 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
96+other: Cornell does not recommend using automatic AI detection algorithms for academic integrity violations, citing their unreliability and inability to provide definitive evidence, and the risk of wrongly accusing students.
97+Evidence (en, dc5bf374079a): We currently do not recommend using current automatic detection algorithms for academic integrity violations using generative AI, given their unreliability and current inability to provide definitive evidence of violations.
5098 ## Newly extracted tracker claim
5199 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
100+other: Cornell provides sample syllabus language for an AI-FREE policy that prohibits all generative AI tools, including tools that help reorganize and edit written work, to ensure development of foundational concepts and skills.
101+Evidence (en, dc5bf374079a): To ensure development and mastery of the foundational concepts and skills in this course, the use of generative artificial intelligence (AI) tools is prohibited. This includes tools that help reorganize and edit your written work because the ability to self-assess, reflect on your writing process, and develop your own voice are essential in your growth as a writer.
52102 ## Newly extracted tracker claim
53103 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
104+other: Cornell provides sample syllabus language for an AS-UA policy where AI use is generally discouraged but permitted for select assignments with proper attribution, requiring students to cite the AI tool creator.
105+Evidence (en, dc5bf374079a): Mastering the essential, foundational concepts of this course takes effort and practice. Accordingly, the use of generative artificial intelligence (AI) tools is generally discouraged in this course, but will be permitted for select assignments. ... If used in any capacity for an assignment, generative AI requires proper attribution for any and all generated work.
54106 ## Source attribution added
55107 An official source attribution was added to the tracker record.
108+Source https://academicinnovation.cornell.edu/gen-ai/ snapshot 67ef8f74e8a61375a1c52b81bcd5a3e8ce67b0ac9a46e970382b38f44ed14807
109+Tracker checked at: 2026-05-06T04:55:45Z
56110 ## Source attribution added
57111 An official source attribution was added to the tracker record.
112+Source https://it.cornell.edu/ai-strategy/ai-guidelines snapshot b1a7c670aa0bf99b4502416ec7c7250135b063b6991367a057f5d2a1ca97251d
113+Tracker checked at: 2026-05-06T04:55:45Z
58114 ## Source attribution added
59115 An official source attribution was added to the tracker record.
116+Source https://teaching.cornell.edu/generative-artificial-intelligence snapshot 9e356eb6cdc55b86bb2fe059937e4db6796ecccd6b030574c5dc40bcff74c3b3
117+Tracker checked at: 2026-05-06T04:55:45Z
60118 ## Source attribution added
61119 An official source attribution was added to the tracker record.
120+Source https://teaching.cornell.edu/generative-artificial-intelligence/ai-academic-integrity snapshot dc5bf374079a8450be06eca45adafca010faa27d86c5d2ea70da2fca9a166662
121+Tracker checked at: 2026-05-06T04:55:45Z
62122 ## Source attribution added
63123 An official source attribution was added to the tracker record.
124+Source https://teaching.cornell.edu/generative-artificial-intelligence/ai-course-policy-icons snapshot 04f6b71ef9ef4fcd47a7d53be6aca3d0929c179dd7a2262df68a5bea184951ad
125+Tracker checked at: 2026-05-06T04:55:45Z
64126 ## Source attribution added
65127 An official source attribution was added to the tracker record.
128+Source https://teaching.cornell.edu/generative-artificial-intelligence/cu-committee-report-generative-artificial-intelligence-education snapshot deeacd6dce5b944ffc00d979b34c83f57677a2f04ceb39c803a701b72d8caab6
129+Tracker checked at: 2026-05-06T04:55:45Z
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