Policy presence
University of East London has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
University of East London
University of East London has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 23, 2026.
University of East London AI policy short answer
v1 public contract
University of East London has 4 source-backed AI policy claims from 2 official source attributions, including 4 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 23, 2026. Discovery context: University of East London is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of East London as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-east-london.json. The entity-level confidence is 96%. 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 AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: ChatGPT, DALL-E.
- 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
University of East London has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of East London has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
University of East London has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
University of East London has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
University of East London has 3 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of East London has 3 source-backed public claims for named ai services; deterministic analysis status: unclear.
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
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
University of East London has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
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
4 reviewed evidence-backed public claim
Ai Tool Treatment
The University of East London's Generative Artificial Intelligence Usage Policy applies to staff, students, third-party suppliers, partners, and affiliates who develop, deploy, or use GenAI technologies.
Review: Agent reviewed
Normalized value: genai_policy_scope_staff_students_suppliers_partners_affiliates
Original evidence
Evidence 1Scope: The policy applies to all staff, students, third-party suppliers, partners, and affiliates of UEL who engage in the development, deployment, or use of Gen AI technologies.
Localized display only
The policy applies to UEL staff, students, third-party suppliers, partners, and affiliates who develop, deploy, or use GenAI technologies.
Ai Tool Treatment
UEL's GenAI usage policy frames responsible use around transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
Review: Agent reviewed
Normalized value: responsible_genai_transparency_ethics_data_usage_legal_compliance
Original evidence
Evidence 1This policy provides a framework for the responsible and ethical use of Generative AI (Gen AI) at the University of East London (UEL). It emphasises transparency, ethical considerations, responsible data usage, and compliance with legal and regulatory requirements.
Localized display only
UEL's GenAI policy emphasizes transparency, ethical considerations, responsible data usage, and legal/regulatory compliance.
Academic Integrity
UEL's academic misconduct rules define Generative AI misuse as using tools such as ChatGPT, Bing Chat, or DALL-E to gain an unfair advantage by producing content submitted as the student's own original work.
Review: Agent reviewed
Normalized value: genai_unfair_advantage_submitted_as_own_work
Original evidence
Evidence 1Generative AI: The use of generative artificial Intelligence tools to gain an unfair advantage. Such as ChatGPT, Bing Char or DALL-E to produce content that is then submitted as your own original work.
Localized display only
UEL defines GenAI misuse as using tools such as ChatGPT, Bing Chat, or DALL-E to gain unfair advantage by submitting generated content as one's own work.
Security Review
UEL's GenAI usage policy says AI systems must prioritize user safety and ethical standards, provide clear documentation, and implement robust security protocols, while human checks should monitor impactful AI decisions.
Review: Agent reviewed
Normalized value: ai_safety_documentation_security_protocols_human_checks
Original evidence
Evidence 1AI systems must be designed and implemented in ways that prioritise user safety and ethical standards. Clear documentation must be provided to ensure transparent and explainable AI. Robust security protocols must be implemented to protect AI systems from malicious attacks and unauthorised access.
Localized display only
UEL requires AI systems to prioritize user safety and ethical standards, provide clear documentation, and implement robust security protocols.
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
2 source attribution
Academic Integrity and Academic Misconduct
uel.ac.uk
Generative Artificial Intelligence Usage Policy
uel.ac.uk
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.