Policy presence
Boston University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Boston, United States
Boston University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Boston University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Boston University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Boston University has 5 source-backed public claims for exams; deterministic analysis status: required.
Boston University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Boston University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Boston University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Boston University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Boston University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Boston University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Boston University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
8 reviewed evidence-backed public claim
Academic Integrity
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
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
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
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
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
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
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
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.
0 machine or needs-review claim
5 source attribution
bu.edu
bu.edu
bu.edu
bu.edu
bu.edu