Armenia moves to require AI labeling on television broadcasts

Armenia's parliament is weighing a law that would require TV broadcasters to label all AI-generated content. Stations that skip the labels would face fines of 300 times the minimum wage.

Categorized in: AI News Government
Published on: Apr 08, 2026
Armenia moves to require AI labeling on television broadcasts

Armenia Proposes AI Labeling Rules for Television Content

Armenia's National Assembly is considering a law that would require TV broadcasters to clearly label any content created with artificial intelligence. The proposal, introduced April 7 by Minister of High-Tech Industry Mkhitar Hayrapetyan, aims to help viewers distinguish between human-made and machine-generated material.

Broadcasters who fail to label AI-generated content would face administrative fines equal to 300 times the minimum wage. The Television and Radio Commission would enforce the rules.

What the Proposal Covers

The law would apply to traditional television broadcasters only. It does not yet address online platforms or social media, though Hayrapetyan said separate regulations for digital spaces are expected within months.

Hayrapetyan outlined the requirement: "When broadcasting television content generated by artificial intelligence or other digital technological solutions, or synthetic content, broadcasters must label it. Appropriate labeling must be applied so that it is clearly visible on the content that the material has been generated using artificial intelligence tools."

Why Armenia Is Acting Now

AI tools are changing how media companies produce content globally. Armenian officials say viewers need to know what they're watching, particularly as AI-generated video and audio become harder to distinguish from authentic footage.

If approved, Armenia would be among the first countries to formally regulate AI-generated content on television. The move reflects a broader effort to address AI for Government policy as the technology becomes more prevalent.

For professionals working in government policy, understanding how different jurisdictions approach generative video regulation can inform domestic policy discussions.


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