Policy presence
Boston University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Boston, United States
Boston University
Boston University is listed as QS 2026 rank =88. Boston University has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Boston University is listed as QS 2026 rank =88. Boston University has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Boston University as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/boston-university.json. The entity-level confidence is 94%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching 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.
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
Boston University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Boston University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Boston University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Boston University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Boston University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Boston University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Boston University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Boston University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Boston University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
Boston University has 1 source-backed public claim 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
Academic Integrity
Boston University student guidance tells students to disclose GenAI use and states that submitting GenAI-generated or GenAI-assisted output without attribution is plagiarism that an instructor will treat as academic misconduct.
Review: Agent reviewed
Normalized value: undisclosed_genai_output_plagiarism_academic_misconduct
Original evidence
Evidence 1Disclose (by a proper reference) when you leverage GenAI tools and describe how you used them in producing your work. Submitting GenAI-generated or GenAI-assisted output without attribution is a form of plagiarism that your instructor will treat as an instance of academic misconduct.
Academic Integrity
Boston University student guidance says instructors have broad discretion to set GenAI rules within each course, and students are responsible for complying with those instructions and should consult the course GenAI policy or ask the instructor before assuming GenAI use is allowed.
Review: Agent reviewed
Normalized value: students_must_follow_course_specific_genai_rules
Original evidence
Evidence 1Instructors have broad discretion to set rules on how GenAI may or may not be used within each individual course. It is your responsibility to comply with these instructions. Always consult the GenAI policy for the course or ask the instructor before assuming use of GenAI is allowed.
Privacy
Boston University faculty and staff guidance says users should avoid inputting or sharing private or sensitive information through commercial GenAI tools because this could violate privacy laws or university policy, and says TerrierGPT is recommended for institutional use but is not approved for restricted use data.
Review: Agent reviewed
Normalized value: avoid_private_sensitive_data_in_commercial_genai_terriergpt_not_restricted_use
Original evidence
Evidence 1Avoid inputting or sharing private or sensitive information through commercial GenAI tools, as this could violate privacy laws or university policy. For institutional use, TerrierGPT is recommended because it protects university data and complies with internal privacy policies. However, TerrierGPT is not approved for restricted use data.
Security Review
Boston University's TerrierGPT page says data entered into TerrierGPT is not used to train external models and that the platform is approved for confidential, but not restricted-use, data.
Review: Agent reviewed
Normalized value: terriergpt_data_not_external_training_confidential_not_restricted
Original evidence
Evidence 1TerrierGPT complies with BU's internal privacy and data protection policies-and none of the data entered is used to train external models. Data uploaded to the platform is only accessible by IS&T personnel and has the same strong privacy protections applicable to all BU enterprise data... the platform is approved for data classified as confidential, but not restricted use.
Ai Tool Treatment
Boston University faculty and staff guidance says academic and administrative GenAI users should retain human oversight, evaluate and verify generated content, and disclose GenAI use in materials, documents, or publications.
Review: Agent reviewed
Normalized value: faculty_staff_should_retain_human_oversight_verify_disclose_genai
Original evidence
Evidence 1All academic and administrative users of GenAI tools should: Retain human oversight of AI-assisted outputs. Evaluate and verify the validity of generated content. Disclose when GenAI tools are used in the creation of materials, documents, or publications.
Teaching
Boston University AIDA classroom guidance recommends that faculty state their GenAI policy explicitly in the course syllabus, disclose how instructors will use GenAI for course tasks, explain the policy in the first week, and distinguish acceptable from unacceptable uses.
Review: Agent reviewed
Normalized value: aida_recommends_explicit_course_genai_syllabus_policy
Original evidence
Evidence 1State your policy on GenAI use explicitly in the course syllabus. This includes disclosing how the instructors (faculty and student teachers) will use GenAI for lecture preparation, presentations, grading, and other course related tasks. Take time in the first week of class to explain your policy and its rationale. Make clear distinctions between acceptable and unacceptable uses.
Teaching
Boston University's AIDA FAQ says BU faculty may freely decide course AI policies within broad limits established by the BU Academic Conduct Code, and students are encouraged to review course policies and consult instructors.
Review: Agent reviewed
Normalized value: faculty_course_ai_policy_latitude_with_academic_conduct_code_limits
Original evidence
Evidence 1AI is rapidly evolving, and BU faculty members may freely decide how to set the AI policies for each of their courses, within broad limits established by the BU Academic Conduct Code. Variation across courses is the norm, not the exception. Students are encouraged to review the course policies and consult their instructors for guidance.
Academic Integrity
Boston University AIDA classroom guidance tells faculty to be very cautious with accusations of GenAI misuse because AI detection tools are highly fallible, and to apply enforcement policies uniformly.
Review: Agent reviewed
Normalized value: faculty_should_be_cautious_with_ai_misuse_accusations_and_detectors
Original evidence
Evidence 1Be very cautious with accusations of GenAI misuse-all detection tools are highly fallible, both with respect to false positives and false negatives, despite the marketing claims of companies that sell these products. Apply enforcement policies uniformly to minimize bias.
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
5 source attribution
Frequently Asked Questions
bu.edu
Generative AI Guidelines for BU Faculty & Staff
bu.edu
Generative AI Guidelines for Classroom Use
bu.edu
Generative AI Guidelines for Students
bu.edu
TerrierGPT
bu.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.