Media, Publishing and Broadcasting Calibration
Public overview of UAIF-CAL-MEDIA-v1.0; the operational package is controlled.
Purpose and scope
Editorial, publishing, broadcasting, content operations and audience-facing AI within the package boundary.
The package calibrates UAIF classification for sector context without replacing the UAIF Technical Specification or applicable law.
Status and validation boundary
Version 1.0 is provisional pending empirical inter-rater validation. The source document states that provisional weights must not be used as the sole basis for regulatory reporting, certification or consequential decisions.
Public information
- Document reference: UAIF-CAL-MEDIA-v1.0
- Version: v1.0 provisional
- Public scope and exclusions
- Method based on public regulatory material, research and recognised severity frameworks
- Known validation and legal-review limitations
Sector risk context
Media AI shapes what information the public receives and trusts. Failures primarily affect information integrity, editorial independence, democratic discourse, public trust, copyright, source protection, and media pluralism. AI-journalism hallucination, deepfake generation, misinformation amplification, and content-moderation error are the defining vectors. Harm concentrates in security/integrity-of-information, reputational, psychological, and privacy dimensions; physical harm is indirect (e.g. incited harm from amplified falsehood).
1.1 Applicable Regulations
• EU AI Act — transparency obligations for synthetic media (Art. 50) and serious-incident reporting (Art. 73) [T1]
• EU Digital Services Act — systemic-risk and content obligations [T1]
• GDPR — audience profiling and targeting [T1]
• EU Copyright Directive (2019/790) [T1]
Extracted from the source sector profile. Detailed calibration and operational material remains controlled.
Public sector orientation
Representative classification concerns include editorial provenance, synthetic content, rights and attribution, audience harm, moderation, advertising and information integrity. These themes help teams scope incident intake and analysis; they are not calibration weights, legal conclusions or an exhaustive risk list.
Use with the UAIF layers
- Establish incident identity, provenance and remediation state.
- Separate cause, manifestation, acute harm and chronic-harm proxies.
- Apply severity and context logic with the provisional calibration status visible.
- Record sector and jurisdiction metadata for human review and routing.
- Preserve uncertainty, contrary evidence and the version of every referenced artifact.
Controlled resource
The detailed package, calibration weights, scoring implementation, evidence logic and maintenance material are confidential commercial resources governed by UAIF-LIC-003 and applicable GEL terms.
Notably Absent
No empirical validation result, regulatory approval, certification status, universal sector applicability or legal-reporting determination is claimed.