Policy presence
Massachusetts Institute of Technology (MIT) has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Cambridge, United States
Massachusetts Institute of Technology (MIT)
Massachusetts Institute of Technology (MIT) has 8 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 8 reviewed claims. Last checked May 6, 2026.
Massachusetts Institute of Technology (MIT) AI policy short answer
v1 public contract
Massachusetts Institute of Technology (MIT) has 8 source-backed AI policy claims from 4 official source attributions, including 8 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 6, 2026. Discovery context: Massachusetts Institute of Technology (MIT) is listed as QS 2026 rank 1.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Massachusetts Institute of Technology (MIT) as an agent-reviewed AI policy record last checked on May 6, 2026 and last changed on May 6, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/massachusetts-institute-of-technology.json. The entity-level confidence is 98%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Other policy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Procurement claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Massachusetts Institute of Technology (MIT) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Massachusetts Institute of Technology (MIT) has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Massachusetts Institute of Technology (MIT) has 1 source-backed public claim for exams; deterministic analysis status: restricted.
Privacy and data entry
Massachusetts Institute of Technology (MIT) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: required.
Academic integrity
Massachusetts Institute of Technology (MIT) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Massachusetts Institute of Technology (MIT) has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Massachusetts Institute of Technology (MIT) has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
Massachusetts Institute of Technology (MIT) has 4 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Massachusetts Institute of Technology (MIT) has 3 source-backed public claims for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
8 reviewed evidence-backed public claim
Other
No generative AI tools, including those licensed by IS&T, are approved for use with High Risk MIT information. Additionally, MIT does not recommend using publicly available GenAI tools not subject to an Institute licensing agreement for MIT research and educational activities, even with Low Risk or Medium Risk information.
Review: Agent reviewed
Oryginalny dowod
Evidence 1No Generative AI tools, including those licensed by IS&T, are approved for use with High Risk MIT information. Additionally, we do not recommend using publicly available GenAI tools not subject to an Institute licensing agreement for your MIT research and educational activities, including with Low Risk or Medium Risk information.
Oryginalny dowod
Evidence 2No Generative AI tools, including those licensed by IS&T, are approved for use with High Risk MIT information. Additionally, we do not recommend using publicly available GenAI tools not subject to an Institute licensing agreement for your MIT research and educational activities. See IS&T's guidance for the use of generative AI tools for full details and recommendations.
Other
Use of generative AI tools at MIT must comply with all applicable federal and state laws and orders (including FERPA, HIPAA, Massachusetts Data Protection Standards, export control laws, and the Executive Order on Safe, Secure, and Trustworthy Development and Use of AI), Institute policies (including 10.1 Academic and Research Misconduct, 11.0 Privacy and Disclosure of Personal Information, and 13.0 Information Policies), Information Protection guidelines, and the Institute's Written Information Security Program (WISP), plus any additional policies established by the user's department, lab, center, or institute (DLCI).
Review: Agent reviewed
Oryginalny dowod
Evidence 1ensure that your use of generative AI tools and services complies with all applicable federal and state laws and orders (including, without limitation, FERPA, HIPAA, Massachusetts Data Protection Standards, export control laws, and Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence), Institute policies (including 10.1 Academic and Research Misconduct, 11.0 Privacy and Disclosure of Personal Information, and 13.0 Information Policies), follows all guidelines outlined on Information Protection, the Institute's Written Information Security Program (WISP), and complies with any additional policies established by your department, lab, center, or...
Academic Integrity
MIT advises community members to disclose the use of generative AI tools for all academic, educational, and research-related uses, and not to publish research results relying on AI-generated content without disclosing the nature of such use.
Review: Agent reviewed
Oryginalny dowod
Evidence 1You should disclose the use of generative AI tools for all academic, educational, and research-related uses. Do not publish research results that rely on content generated through the use of a generative AI tool without disclosing the nature of the use of such generative AI tool in producing the content.
Procurement
IS&T recommends that MIT community members consult with IS&T before purchasing or using generative AI tools, and recommends using tools already licensed by IS&T for the MIT community.
Review: Agent reviewed
Oryginalny dowod
Evidence 1IS&T recommends MIT community members first consider using tools and services which have already been licensed by IS&T for use by the MIT community. Before entering into any license agreements for a new AI tool or service, we recommend reaching out to ai-guidance@mit.edu for a consultation on your planned use of AI and an assessment of the tool or service before it is used.
Other
MIT holds users responsible for the accuracy of any information they publish, including AI-generated content. Users must be aware that AI-generated information may be inaccurate, incomplete, misleading, biased, fabricated, or contain third-party intellectual property.
Review: Agent reviewed
Oryginalny dowod
Evidence 1Be aware that information generated by AI may be inaccurate, incomplete, misleading, biased, fabricated, or may contain material subject to a third party's intellectual property ownership. You are responsible for the accuracy of any information you publish, including AI-generated content.
Other
MIT maintains a list of approved generative AI tools licensed by IS&T for use by the MIT community. Only these tools are approved for use with low- and medium-risk information, and any tool not on the list requires contacting ai-guidance@mit.edu for assessment before use or purchase. No generative AI tools are approved for use with High Risk MIT information.
Review: Agent reviewed
Oryginalny dowod
Evidence 1The following tools are approved for use with low- and medium-risk information Adobe Firefly - Generate or modify images via text prompts. Available to MIT faculty, staff, and students. AWS Bedrock - Developer access to third-party large language models via API. Available to MIT faculty and staff. AWS Sagemaker - Managed AI/ML model access and training. Available to MIT faculty and staff. Azure OpenAI - Developer access to Azure OpenAI and other cognitive services. Available to MIT faculty and staff. Google Gemini - Text-based AI chatbot. Available to MIT faculty, staff, and students. Google NotebookLM - Research assistant and note-taking tool. Available to MIT faculty, staff, and studen...
Other
MIT prohibits the use of generative AI for purposes that may require in-depth risk assessments without prior consultation with ai-guidance@mit.edu. Such purposes include recruitment and hiring of employees, evaluating student academic performance, making investment decisions, and complaint and dispute resolution.
Review: Agent reviewed
Oryginalny dowod
Evidence 1Do not use generative AI for purposes that may require in-depth risk assessments without contacting ai-guidance@mit.edu. Examples include: recruitment and hiring of employees, evaluating student academic performance, making investment decisions, and complaint and dispute resolution.
Other
MIT departments, labs, centers, and institutes (DLCIs) already using a generative AI tool or service must ensure that the tool complies with all Institute policies and Information Protection guidelines, and must contact ai-guidance@mit.edu for consultation or assessment if needed.
Review: Agent reviewed
Oryginalny dowod
Evidence 1If an MIT DLCI is already using a generative AI tool or service, ensure that the tool complies with all Institute policies and Information Protection guidelines. Contact ai-guidance@mit.edu if you have a need for a consultation or assessment.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
4 source attribution
Generative AI & Your Course
tll.mit.edu
Generative AI tools available at MIT
ist.mit.edu
Guidance for use of Generative AI tools
ist.mit.edu
Rethinking Your Problem Sets in the World of Generative AI
tll.mit.edu
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.