Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Paris, France
Universite Paris-Pantheon-Assas
Universite Paris-Pantheon-Assas has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 23, 2026.
Universite Paris-Pantheon-Assas AI policy short answer
v1 public contract
Universite Paris-Pantheon-Assas 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: Universite Paris-Pantheon-Assas is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universite Paris-Pantheon-Assas 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/universite-paris-pantheon-assas.json. The entity-level confidence is 90%. 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 Teaching claims.
- No specific AI service name is highlighted by the current 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Universite Paris-Pantheon-Assas has 4 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universite Paris-Pantheon-Assas has 4 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
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
Universite Paris-Pantheon-Assas has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Universite Paris-Pantheon-Assas has 2 source-backed public claims for named ai services; deterministic analysis status: unclear.
Teaching guidance
Universite Paris-Pantheon-Assas has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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 M1 curriculum for Universite Paris-Pantheon-Assas's Master Marketing and Communication lists a course item on responsible use of generative-AI tools.
Review: Agent reviewed
Normalized value: Program-specific M1 curriculum includes responsible use of generative AI tools.
Oryginalny dowod
Evidence 1Semestre 2, parcours Master marketing et communication, 192h, 30 ECTS ... UEC 2 ... Utilisation responsable des outils d'IA générative
Widok lokalny only
The M1 Semester 2 curriculum lists responsible use of generative-AI tools.
Teaching
The M2 curriculum for Universite Paris-Pantheon-Assas's Master Marketing and Communication lists a Data Marketing Intelligence module that includes Marketing and AI.
Review: Agent reviewed
Normalized value: Program-specific M2 curriculum includes Marketing et IA in the Data Marketing Intelligence module.
Oryginalny dowod
Evidence 1Module 5 – Data marketing intelligence ... Data analyse pour le marketing ... Systèmes d'information orientés data ... Marketing et IA ... Data Challenge
Widok lokalny only
The M2 Data Marketing Intelligence module lists Marketing and AI.
Teaching
Universite Paris-Pantheon-Assas describes its Master Marketing and Communication as including advanced coursework in digital, law, and data and AI.
Review: Agent reviewed
Normalized value: Program-specific curriculum: Master Marketing et communication includes digital, law, data and AI coursework.
Oryginalny dowod
Evidence 1La formation propose des cours renforcés pour comprendre et accompagner la digitalisation des entreprises, en intégrant notamment des cours approfondis en digital, droit et data & IA
Widok lokalny only
The program says it includes advanced courses in digital, law, and data and AI.
Ai Tool Treatment
Universite Paris-Pantheon-Assas's Legal Summer School on generative AI and legal practice says the training covers limits and risks of the technology and responsible-AI practices.
Review: Agent reviewed
Normalized value: Continuing-education program covers generative-AI limits, risks, and responsible-AI practices.
Oryginalny dowod
Evidence 1Elle aborde également les limites et risques de la technologie, et les pratiques d’IA responsable à mettre en place.
Widok lokalny only
The training covers the technology's limits and risks and responsible-AI practices to put in place.
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
La Legal Summer School « IA Generative et pratique juridique »
assas-universite.fr
Master Marketing, vente parcours Marketing et communication
assas-universite.fr
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.