Policy presence
The New School, New York City and Paris has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
New York, United States
The New School, New York City and Paris
The New School, New York City and Paris has 4 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
The New School, New York City and Paris AI policy short answer
v1 public contract
The New School, New York City and Paris has 4 source-backed AI policy claims from 1 official source attribution, 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 20, 2026. Discovery context: The New School, New York City and Paris is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The New School, New York City and Paris as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/the-new-school-new-york-city-and-paris.json. The entity-level confidence is 92%. 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 Privacy claims.
- Evidence includes Security review claims.
- No specific AI service name is highlighted by the current public claim text.
- 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
The New School, New York City and Paris has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
The New School, New York City and Paris has 1 source-backed public claim for coursework; deterministic analysis status: required.
Exams
The New School, New York City and Paris has 1 source-backed public claim for exams; deterministic analysis status: required.
Privacy and data entry
The New School, New York City and Paris has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
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
The New School, New York City and Paris has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
The New School, New York City and Paris has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
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
The New School, New York City and Paris 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
For Marketing & Communications professional work at The New School, people must evaluate, fact-check, edit, and document AI-generated content before using it.
Review: Agent reviewed
Normalized value: human_review_required_for_mc_professional_ai_output
Original evidence
Evidence 1Ensure that people review AI output. People must evaluate, fact-check, edit, and document all AI-generated content before using it in their professional work.
Privacy
For Marketing & Communications AI use, the New School guidance says consent must be obtained from all participants before AI technology is used to summarize and record meetings or other proceedings.
Review: Agent reviewed
Normalized value: meeting_recording_summary_ai_requires_participant_consent_for_mc
Original evidence
Evidence 1Before AI technology is used to summarize and record meetings and other proceedings, consent must be obtained from all participants.
Security Review
The New School M&C AI guidance says AI tools should never be used in a way that violates university standards or policies, and specifically points users to the Acceptable Use Policy and the Standard for Information and System Classification.
Review: Agent reviewed
Normalized value: mc_ai_use_must_not_violate_university_standards_or_policies
Original evidence
Evidence 1AI tools should never be used in any way that would violate university standards or policies. Two policies that must be reviewed are the Acceptable Use Policy and the Standard for Information and System Classification.
Privacy
The New School M&C AI guidance identifies uploading check-in data or sensitive contact and personal information to AI-powered platforms for audience prediction as unapproved usage.
Review: Agent reviewed
Normalized value: sensitive_personal_data_upload_to_ai_for_audience_prediction_unapproved_for_mc
Original evidence
Evidence 1Unapproved Usage: Staff members upload check-in data or sensitive contact and personal information (phone, home address, salary, Social Security number, etc.) to AI-powered platforms to predict future event attendance.
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
1 source attribution
Marketing & Communications AI Guidelines | Tools and Training | The New School
newschool.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.