Policy presence
Arizona State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tempe, United States
Arizona State University
Arizona State University is listed as QS 2026 rank =173. Arizona State University has 9 source-backed AI policy claim records from 7 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Arizona State University is listed as QS 2026 rank =173. Arizona State University has 9 source-backed AI policy claim records from 7 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 Arizona State University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/arizona-state-university.json. The entity-level confidence is 97%. 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 Security review claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Research claims.
- Evidence includes Academic integrity 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.
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
Arizona State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Arizona State University has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Arizona State University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Arizona State University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Arizona State University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Arizona State University has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Arizona State University has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Arizona State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Arizona State University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Arizona State University has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
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
9 reviewed evidence-backed public claim
Security Review
ASU's AI tools page says tools not listed on that page are not approved for enterprise use.
Review: Agent reviewed
Normalized value: unlisted_ai_tools_not_approved_for_enterprise_use
Original evidence
Evidence 1Tools not listed on this page are not approved for enterprise use.
Localized display only
ASU states that tools not listed on the AI tools page are not approved for enterprise use.
Privacy
ASU Digital Trust guidelines instruct users not to share information that is internal, sensitive, or highly sensitive to university policies and rules.
Review: Agent reviewed
Normalized value: do_not_share_internal_sensitive_or_highly_sensitive_information
Original evidence
Evidence 1Do not share information that is internal, sensitive or highly sensitive to university policies and rules.
Localized display only
ASU Digital Trust says not to share information that is internal, sensitive, or highly sensitive under university policies and rules.
Privacy
ASU Research Compliance guidance says not to place any US export-controlled data into any generative AI tools.
Review: Agent reviewed
Normalized value: do_not_place_us_export_controlled_data_into_genai_tools
Original evidence
Evidence 1Do not place any US export-controlled data into any generative AI tools.
Localized display only
ASU Research Compliance says not to place US export-controlled data into any generative AI tools.
Ai Tool Treatment
ASU Provost guidance says data for the described generative-AI teaching support is securely maintained within ASU infrastructure, supporting privacy and transparency.
Review: Agent reviewed
Normalized value: teaching_ai_data_maintained_in_asu_infrastructure
Original evidence
Evidence 1Data is securely maintained within the ASU infrastructure, ensuring both privacy and transparency.
Localized display only
ASU says data for the described generative-AI teaching support is securely maintained within ASU infrastructure.
Research
ASU Research Compliance guidance says to use only tools that have been approved for use at ASU.
Review: Agent reviewed
Normalized value: use_only_asu_approved_ai_tools
Original evidence
Evidence 1Use only tools that have been approved for use at ASU.
Localized display only
ASU Research Compliance says users should use only tools approved for use at ASU.
Ai Tool Treatment
ASU Provost FAQs direct students to confer with their instructor about class policy before using AI tools in coursework.
Review: Agent reviewed
Normalized value: students_confer_with_instructor_before_coursework_ai_use
Original evidence
Evidence 1Before using AI tools in your coursework, confer with your instructor about their class policy for using AI tools.
Localized display only
ASU's Provost FAQ directs students to check instructor course policy before using AI tools.
Academic Integrity
ASU Library guidance says acknowledging the use of generative AI tools is a key part of maintaining academic integrity.
Review: Agent reviewed
Normalized value: acknowledging_ai_use_supports_academic_integrity
Original evidence
Evidence 1Acknowledging the use of generative AI tools is a key part of maintaining academic integrity.
Localized display only
ASU Library says acknowledging generative AI use is a key part of maintaining academic integrity.
Academic Integrity
ASU Digital Trust guidelines tell users to be honest about their use of generative AI tools in preparing materials.
Review: Agent reviewed
Normalized value: be_honest_about_ai_use_in_preparing_materials
Original evidence
Evidence 1Be honest about your use of generative AI tools in preparing the materials.
Localized display only
ASU Digital Trust directs users to be honest about their use of generative AI tools in preparing materials.
Teaching
The ASU School of Life Sciences teaching toolkit says instructors should clearly communicate expectations for student use of generative AI in the syllabus.
Review: Agent reviewed
Normalized value: sols_toolkit_instructors_communicate_genai_expectations_in_syllabus
Original evidence
Evidence 1It is essential that instructors clearly communicate expectations for student use of generative AI in the syllabus.
Localized display only
The SOLS teaching toolkit emphasizes clear syllabus communication about student generative AI use.
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
7 source attribution
Acknowledging AI Usage
libguides.asu.edu
AI Tools for the ASU Community
ai.asu.edu
Artificial Intelligence
researchcompliance.asu.edu
Digital Trust guidelines for Generative Artificial Intelligence use
ai.asu.edu
Generative AI FAQs
provost.asu.edu
Syllabus and Policies for Generative AI
tlc.sols.asu.edu
Teaching and learning with generative AI
provost.asu.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.