Traceable media. Appropriate disclosure.
The goal is not to label every use of automation. It is to preserve meaningful provenance, identify higher-risk synthetic media, and give audiences the disclosures the situation actually requires.
AXMDGTL uses artificial intelligence to support research, ideation, creative production, code assistance, automation and analysis. People remain responsible for strategy, factual review, approvals, rights checks and final publication.
When image, video or audio is created or materially altered with generative AI, AXMDGTL aims to preserve available content credentials, latent provenance information, provider-supplied disclosures and other origin signals where technically practical. If editing, resizing or platform processing removes embedded metadata, AXMDGTL may maintain an internal asset record so the production history remains traceable.
California's AI Transparency Act places specific provenance and disclosure duties on qualifying covered providers of large publicly accessible generative-AI systems. AXMDGTL's production standard is designed to work with, rather than intentionally defeat, provider-supplied provenance and disclosure mechanisms.
Commercial advertising that uses a digitally created human-like performer may trigger disclosure requirements depending on where the advertisement is published and who can view it. When applicable, AXMDGTL uses a clear, conspicuous disclosure at or with the advertisement so a reasonable viewer can understand that a synthetic performer is present.
New York law requires conspicuous disclosure when covered advertising uses a synthetic performer. AXMDGTL therefore treats realistic AI-generated people used in commercial advertising as a pre-publication compliance checkpoint rather than assuming that an image is merely decorative.
Clients should tell AXMDGTL when supplied creative is known to contain AI-generated or materially altered people, voices, video or other synthetic media. Clients remain responsible for having appropriate rights, permissions and factual support for materials they provide. AXMDGTL may request clarification, consent documentation or replacement creative when origin or rights are unclear.
AXMDGTL does not use AI to fabricate customer reviews, testimonials, awards, credentials, case-study outcomes, endorsements or other trust signals that could mislead a reasonable person about a business or service.
For projects where AI-generated media is material to the deliverable, AXMDGTL may maintain an internal AI Asset Register recording the asset, source tool or provider when known, creation or modification date, intended use, human reviewer, disclosure status and relevant rights or consent notes.
AI laws and platform rules continue to change and can apply differently based on jurisdiction, audience, industry, medium and the specific technology involved. AXMDGTL designs projects around applicable requirements and updates this standard as those requirements evolve. References to regulatory frameworks describe our operating standard and do not represent a legal certification or legal advice.
Last updated: August 17, 2026
The goal is not to label every use of automation. It is to preserve meaningful provenance, identify higher-risk synthetic media, and give audiences the disclosures the situation actually requires.