Media, entertainment & creative
Media, entertainment and creative organisations sit at the centre of the generative-AI debate: synthetic content, recommendation, moderation and the cultural and rights questions that come with them. Gamut gives editorial, legal, trust-and-safety and risk teams a way to govern this AI responsibly, addressing transparency, provenance and cultural impact alongside the usual controls.
AI systems typically in scope
Section titled “AI systems typically in scope”- Generative content tools (text, image, audio, video).
- Recommendation and personalisation engines.
- Content moderation and trust-and-safety AI.
- Synthetic media and voice, including likeness and deepfake detection.
- Audience, rights and localisation AI.
Governance drivers
Section titled “Governance drivers”- Transparency and provenance. Disclosure of AI-generated or AI-assisted content.
- EU AI Act. Transparency obligations for generative and synthetic media.
- Cultural and creative-sector impact. Heritage, local-language and creative-rights considerations, signals Gamut intake captures directly.
- Rights and likeness. Documented controls around consent, rights and synthetic likeness.
Use cases
Section titled “Use cases”Govern a generative content tool with transparency and provenance
Section titled “Govern a generative content tool with transparency and provenance”How Gamut solves it: register and model-card the tool, run intake flagging creative-sector, cultural-significance and local-language signals, route to GTSAF and the EU AI Act, and evidence disclosure and provenance controls.
Assess cultural and creative-sector impact
Section titled “Assess cultural and creative-sector impact”How Gamut solves it: intake’s cultural-significance, heritage and creative-sector flags feed the risk tier and route deeper assessment, with NAGF available where decoloniality and local-context expectations apply.
Govern moderation AI accountably
Section titled “Govern moderation AI accountably”How Gamut solves it: route to GTSAF and capture oversight, appeal and fairness evidence through control tests, with the audit log proving the history.
Quick start
Section titled “Quick start”- Register the AI in AI System Records with a model card.
- Run intake, flag creative-sector, cultural and transparency signals, and confirm the tier.
- Route to GTSAF, EU AI Act and, where relevant, NAGF.
- Evidence transparency, provenance and oversight in the Evidence Tracker.
- Track gaps on the Remediation Roadmap.
- Produce assurance and board reporting from reporting.
Frameworks that apply
Section titled “Frameworks that apply”GTSAF, EU AI Act, NAGF and NIST AI RMF.
- Technology & SaaS: for media-tech product vendors.
- Retail & e-commerce: related recommendation and personalisation AI.
- Industry playbooks: the full set.