AI and Editorial Disclosure
NU uses AI to help make public records and source trails searchable. The system can assist; responsibility for NU's published material stays with NU.
At a glance
- NU originals, summaries, classifications, metadata, code, and some media may be AI-assisted.
- NU original articles are labeled and should be checked against their cited primary records.
- Third-party search results are not authored or endorsed by NU.
- Live or automated output may not receive item-by-item review before display and can be incomplete or wrong.
- Sponsored, affiliated, or paid promotional content will be identified when a material relationship exists.
Editorial process
AI agents may draft, summarize, classify, compare, format, or surface sources. Editorial review may include source checks, framing, corrections, and labels separating a verified record from an allegation, inference, or opinion. “Editor-reviewed” does not mean every sentence was independently verified. Read the linked record before relying on a claim.
Search, retrieval, and automated output
Search rankings and summaries can change as source APIs, records, and indexes change. Automated output is informational and not legal, medical, financial, engineering, or other professional advice. NU does not guarantee completeness, truth, ranking, indexing, or continued availability of a third-party record.
Images, audio, video, and provenance
NU may use generated or AI-edited media. When technically available and appropriate, covered synthetic media may include visible labels, machine-readable provenance, or platform-supported content credentials. Missing metadata alone does not prove whether media was AI-assisted.
Advertising and sponsorship
NU's own projects and related businesses may be linked as first-party or affiliated resources. A paid sponsorship, endorsement, native advertisement, or other material commercial relationship will be disclosed clearly when required. Editorial ranking is not sold.
Current U.S. law references
There is no single verified federal rule requiring the same AI label on every article published by every private business. Current enacted rules are use- and jurisdiction-specific:
- California SB 942 addresses disclosure capability and provenance for covered generative-AI providers and certain synthetic image, audio, and video content.
- California AB 2013 requires specified training-data transparency from developers of covered generative-AI systems or services.
- Utah Code 13-77-103 requires specified disclosures when generative AI directly interacts with consumers or is used in certain regulated high-risk interactions.
- Colorado SB 24-205 governs developers and deployers of high-risk AI systems used in consequential decisions, including notice and anti-discrimination duties.
- Texas HB 149 establishes an AI governance framework, including restrictions and specified disclosures for particular users such as government and health-care providers.
- FTC online advertising guidance and its native advertising guide address truthful advertising and clear disclosure of commercial relationships.
These summaries are general information, not legal advice. A linked law may not apply to NU, a specific article, or a particular use. Proposed bills are not treated here as enacted law.
Corrections
Use the contact link on the NU homepage to identify the URL, disputed text, and best available primary source. NU may correct, annotate, update, or remove material based on the record.