Historia rejestru
Aktualizacje zweryfikowanych danych serwisu nie potwierdzają zmiany zasad uczelni.
Pasujące wersje: 6
Aktualizacja strony
Wersja: v6-reading-rankings-ten-20261027Brak porównywalnych tekstów obu wersji.
Shared V6 reading layout and evidence presentation updated. University policy Claims, original evidence, held decisions and snapshot approvals remain unchanged; the institution audit remains PARTIAL.
Utrzymanie rejestru
Wersja: qs35-40-v6-r4-meta-20261022Brak porównywalnych tekstów obu wersji.
Liczba objętych wpisów: 33 (Poprawiono / zmieniono: 21 · Dodano: 12)
Wersja: qs35-40-v6-r3-20261022Liczba objętych wpisów: 33 (Poprawiono / zmieniono: 21 · Dodano: 12)
Prywatność · Zasady używania narzędzi AI · Pozostałe tematy: 5
Columbia Law School prohibits generative AI use in exams, final papers, and for drafting any part of work submitted for credit, even if fully documented.
Under Columbia Law School's 2026–2027 Default Academic Policy on Student Use of AI (§9.1), use of AI during any examination is prohibited except where advance permission is granted in writing by the course instructor in the course syllabus and/or examination instructions; where not authorized, every word of an examination answer must be produced by the student without AI assistance (irrespective of whether proctored or take-home, online or handwritten), and students are strictly forbidden from inputting current examination questions, prompts, or fact patterns into an AI tool.
Columbia Law School permits students to use generative AI for studying, brainstorming, and identifying typographical errors, but not for writing, editing, revising, or translating text.
Under Columbia Law School's 2026–2027 Policy (§8.3), students are permitted to consult AI to test arguments, solicit criticism, explore alternative articulations, and improve written work for clarity and reliability, alternate phrasing, and tone and concision, as well as identify and correct spelling and grammatical errors; in all cases students must exercise independent, rigorous critical judgment, and Sections 8–11 serve as default policies that instructors may vary in writing in the course syllabus or assignment instructions.
Columbia Business School requires students to disclose to faculty their use of generative AI platforms and the manner of use in coursework.
Columbia Business School guidance states that as a general rule, students should disclose to faculty if they are using generative AI platforms and in what manner in coursework; when faculty permit AI, proper and complete citation of platforms and prompts is mandatory under the CBS Honor Code.
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Teachers College example syllabus statements require citations or disclosure detailing specific AI tools and models used when AI use is permitted.
Teachers College example syllabus statements require citations or disclosure detailing specific AI tools and models used when AI use is permitted.
Under Columbia University Standards and Discipline 2026–2027 (§C.3), adopted at the discretion of the Dean of each adhering school, absent a clear statement or approval in writing from a course instructor granting permission, the use of generative Artificial Intelligence (AI) tools to complete an assignment, exam, or any other coursework is prohibited, including using AI for translation services, crafting study materials, organizing a works cited page, or polishing a student's work.
Under Dean's Discipline procedures (§J), a student found responsible for a policy violation may appeal the outcome or sanction within five (5) business days after receipt of the decision/outcome letter; an initial screening is conducted by the AVP (or designee) within 5 business days; if returned for exceeding the 5-page maximum or failing to meet the three exclusive grounds, the student may resubmit within two (2) business days from return (one-time resubmission); once grounds are met, the appeal is sent to the Dean (or designee) who has 10 business days from the date of receipt to deliver a response; and the student will receive the Appellate Officer's final written decision within 10 business days of receipt of request or at their earliest convenience (extensions communicated in writing per footnote 7).
Under Columbia University's Provost Generative AI Policy, a report from an AI detection tool confirming suspected AI use cannot be used as the sole piece of proof in a Dean's Discipline case to find a student responsible for a violation of policy.
When an instructor suspects a student of using generative AI in violation of course policy, the instructor should refer the student to the Dean's Discipline process rather than attempting to resolve the matter independently.
Under Columbia Law School's default academic policy (§9.2, subject to instructor written alternatives under §Default and §9), all work submitted for academic credit must be student-composed and reflect the student's independent intellectual creativity and judgment unless expressly indicated otherwise by the course instructor in writing; revising or paraphrasing AI text does not transform it into student-composed work, and translating one's own non-English writing into English to submit as original work is prohibited by default (§11).
Columbia Business School policy establishes that when faculty permit generative AI in a course, students will be instructed how to properly use and cite such tools in their work; failure to properly and completely cite AI-generated responses may be reported as a violation of the CBS Honor Code.
Under Columbia Law School Policy§7, students must disclose any AI use contributing to a written submission or other work product; students should be transparent and err on the side of disclosure and follow additional instructor citation requirements.
Columbia Law School's default AI prohibition can be overridden by individual instructors who set more permissive policies in writing in their syllabus.
Columbia Law School’s 2026–2027 Sections8–11 are defaults. Instructors may adopt alternative course or assignment policies in writing, at minimum in the initial syllabus, with advance notice to all students; absent an alternative the Policy applies.
Teachers College provides five example syllabus statements ranging from no AI use permitted to generally permitted with attribution, allowing instructors to choose their stance.
Teachers College Columbia Digital Futures Institute (DFI) provides five sample syllabus options (from open integration to strict prohibition), accompanied by recommended syllabus statements for students with registered generative AI disability accommodations through OASID.
All Teachers College example syllabus statements include provisions for students with disabilities who have AI-related accommodations through OASID.
Four of the five Teachers College example syllabus statements (Examples1,2,4,5) explicitly include OASID accommodation language; Example3 does not.
Under Columbia Law School's 2026–2027 Policy (§Default), the rules set forth in Sections 8 through 11 are considered default academic policies; individual course instructors may adopt alternative course- or assignment-specific policies as long as they do so in writing, at a minimum in the initial course syllabus, and with advance notice to all students.
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CUIMC maintains an official AI Tools × Data Classification matrix governing use with Sensitive Data (PHI, PII, RHI) versus Confidential/Internal and Public data; availability through central CUIT does not constitute approval for Sensitive Data under HIPAA.
CUIMC maintains an official AI Tools × Data Classification matrix governing use with Sensitive Data (PHI, PII, RHI) versus Confidential/Internal and Public data; availability through central CUIT does not constitute approval for Sensitive Data under HIPAA.
Columbia Law School requires all generative AI use to comply with university data protection policy; confidential or personal information must not be shared with AI tools unless retention and training use is disabled.
Columbia Law School requires all AI use to supplement and comply with the University’s Generative AI Policy and data protection rules; in clinics and externships (§10), confidential client information defined under the New York Rules of Professional Conduct must never be input into an AI tool without express supervisor permission.
CUIMC restricts sensitive data (PHI, RHI, PII) use with AI to HIPAA-compliant platforms only (ChatGPT Education, approved Microsoft Copilot, CHAT with compliant models); research use requires IRB approval.
CUIMC restricts sensitive data (PHI, RHI, PII) use with AI to approved platforms; research protocol use of AI involving Sensitive Data or Research Health Information (RHI) must be submitted through the standard IRB process and routed to the CUIMC AI Governance Committee (AIGC).
As of March 2026, Google Gemini, NotebookLM, and Anthropic Claude are not approved for use with sensitive data at CUIMC; they may only be used with non-sensitive, non-confidential data.
At CUIMC, Google Gemini and Gemini Notebook in Google Workspace (CUIT) are approved for Confidential and Internal data (such as non-sensitive administrative or general education tasks), but are strictly prohibited from use with Sensitive Data (PHI, PII, RHI) because no HIPAA BAA is in place for Workspace; by contrast, Google Enterprise editions in GCP provisioned by CUIMC IT are approved for Sensitive Data under enterprise BAA protections.
Under CUIMC policy, users of CU AI Toolkit are approved to use Sensitive Data (PHI) only when using approved models (currently OpenAI models within the toolkit); dual-affiliates must note that full chat history is visible to all models used in a chat, and therefore must not input Sensitive Data unless all models in the chat are approved for Sensitive Data; furthermore, Live Web Search through the OpenAI API is strictly unapproved for Sensitive Data.
Under CUIMC data classification rules, while FERPA student education records are generally classified as Confidential Data, elements containing student identifying or health information are PII or PHI classified as Sensitive Data; when this overlap occurs, the stricter Sensitive Data classification and tool restrictions apply rather than standard Confidential Data rules.
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CUIMC requires a formal IT Risk Assessment review before deploying any locally installed AI models (LLM, NLP, ML) to evaluate security, privacy, and compliance risks.
CUIMC requires a formal IT Risk Assessment review before deploying any locally installed AI models (LLM, NLP, ML) to evaluate security, privacy, and compliance risks.
Columbia University Information Technology (CUIT) governs institutional AI deployment through a centralized Data Classification Table, requiring all community members to verify approved data classifications before using AI services, while directing CUIMC members to specialized health data policies.
Columbia University requires researchers to avoid uploading unpublished research data or confidential information into generative AI tools.
Columbia University Provost policy strictly prohibits uploading unpublished research data, unpublished scholarly manuscripts, funding proposals, or research subject PII into public or unvetted AI tools, and bans using generative AI for peer review; sensitive or confidential research analysis must be restricted to CUIT-approved secure environments following IRB protocols and sponsor agreements, or CUIMC HIPAA-compliant platforms with IRB/AIGC review.
Columbia researchers, faculty, and graduate students must avoid uploading unpublished research data, unpublished scholarly manuscripts, funding proposals, or research subject PII into public or unvetted AI tools, and are strictly prohibited from using generative AI for peer review; sensitive research analysis must be restricted to CUIT-approved secure environments under IRB protocols or CUIMC HIPAA-approved platforms under IRB/AIGC review.
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ChatGPT Education is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
ChatGPT Education is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
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Google Gemini is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
Google Gemini is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
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CHAT is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
CHAT is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
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NotebookLM is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
NotebookLM is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
CUIMC provides HIPAA-compliant versions of ChatGPT Education and Microsoft Copilot as approved AI chatbot tools; workforce members must use CUIMC-issued accounts for compliance.
CUIMC provides HIPAA-compliant versions of ChatGPT Education, Microsoft Copilot (approved products: CoPilot Chat, M365 CoPilot, CoPilot in Microsoft Fabric), and CU AI Toolkit (approved OpenAI models) as approved tools for Protected Health Information (PHI); clinical documentation must only be drafted inside these PHI-approved tools using CUIMC-issued accounts, while CoPilot Studio and GitHub Copilot are strictly unapproved for sensitive data.
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Columbia University has a university-wide Generative AI Policy from the Office of the Provost governing use by staff, faculty, students, and researchers, covering information security, data privacy, copyright, academic integrity, and bias.
Columbia University has a university-wide Generative AI Policy from the Office of the Provost governing use by staff, faculty, students, and researchers, covering information security, data privacy, copyright, academic integrity, and bias.
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Columbia's Center for Teaching and Learning maintains a central AI Guidelines hub linking to the Provost's policy, academic integrity resources, CUIT resources, and best practices for responsible AI use.
Columbia's Center for Teaching and Learning maintains a central AI Guidelines hub linking to the Provost's policy, academic integrity resources, CUIT resources, and best practices for responsible AI use.
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Columbia University Information Technology (CUIT) publishes university-wide best practices for responsible AI use applicable to faculty, students, researchers, and staff.
Columbia University Information Technology (CUIT) publishes university-wide best practices for responsible AI use applicable to faculty, students, researchers, and staff.
Liczba objętych wpisów: 1 (Dodano: 1)
Wersja: public-release-20260924-002Liczba objętych wpisów: 1 (Dodano: 1)
Zasady używania narzędzi AI
CUIMC maintains an official AI Tools × Data Classification matrix governing use with Sensitive Data (PHI, PII, RHI) versus Confidential/Internal and Public data; availability through central CUIT does not constitute approval for Sensitive Data under HIPAA.
Liczba objętych wpisów: 11 (Dodano: 3)
Wersja: public-release-20260715-005Liczba objętych wpisów: 11 (Dodano: 3)
Zasady używania narzędzi AI
Brak porównywalnych tekstów obu wersji.
ChatGPT Edu is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
Claude for Education is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
Google Gemini is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
Microsoft Copilot is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
NotebookLM is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
OpenAI API for Education is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Brak porównywalnych tekstów obu wersji.
CHAT is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self hosted system.
Brak porównywalnych tekstów obu wersji.
ChatGPT Education is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Google Gemini is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
CHAT is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
NotebookLM is listed for Columbia University in an official university AI tools source. Derived availability: not mentioned. Derived endorsement type: officially endorsed.
Dowody lub klasyfikacja historyczna są niepełne. Zobacz historię.
Otwórz historię wersjiLiczba objętych wpisów: 7 (Dodano: 7)
Wersja: public-release-20260710-001Liczba objętych wpisów: 7 (Dodano: 7)
Zasady używania narzędzi AI
ChatGPT Edu is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Claude for Education is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
Google Gemini is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft Copilot is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
NotebookLM is listed for Columbia University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
OpenAI API for Education is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: institutionally licensed or procured.
CHAT is listed for Columbia University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: self hosted system.
