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Закон Нью-Йорка о FAIR News требует маркировки новостей, созданных искусственным интеллектом.

Законодательное собрание штата Нью-Йорк приняло «Фундаментальные требования к искусственному интеллекту» (FAIR) в Законе о новостях, предписывая размещать заметные надписи на новостном контенте, генерируемом искусственным интеллектом, и налагая штрафы за несоблюдение требований. Этот шаг может изменить практику работы новостных редакций и поднять конституционные вопросы.

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Source-provided image accompanying New York’s FAIR News Act would require AI‑generated news to be labeled
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governing.com
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governing.comhttps://www.governing.com/policy/a-misguided-mandate-to-regulate-ai-in-the-newsroom
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Ключевые термины

Искусственный интеллект (ИИ)
Широкая область создания систем, выполняющих задачи, требующие распознавания образов, рассуждения, языка или принятия решений.
Генеративный ИИ
Системы искусственного интеллекта, которые создают новый контент, такой как текст, изображения, аудио, видео или код.
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Что случилось

The New York State Senate and Assembly approved the Fundamental Artificial Intelligence Requirements (FAIR) in News Act in June 2025. The bill, now awaiting the governor’s signature, obliges any news content that is “substantially” created by to carry a conspicuous label at the top of the page, image, or video, and requires a spoken announcement for audio recordings. Violations would trigger civil fines of $1,000 for a first offense and $5,000 for subsequent offenses, and the state attorney general would have subpoena power and the ability to seek injunctions. The legislation broadly defines “news media” to include publications, broadcasters, newsletters, podcasts, and other outlets that provide news, weather, traffic, sports, or entertainment reports.

In June 2025, the New York Senate and Assembly passed the FAIR News Act, a bill that seeks to increase transparency around the use of in newsrooms. The legislation mandates that any news article, image, or video that is substantially created by AI must display a conspicuous label at the top of the content. For audio recordings, a spoken announcement must be made at the beginning of the piece.

The bill also establishes enforcement mechanisms: the New York attorney general would be empowered to issue subpoenas, impose civil fines of $1,000 for a first violation and $5,000 for subsequent violations, and seek injunctions to halt continued publication of non‑compliant content. The definition of “news media” is expansive, covering traditional broadcasters, newspapers, online newsletters, podcasts, and any outlet that provides news‑type content.

While supporters argue the measure will restore public trust by ensuring readers know when AI has been used, critics point out that the law does not define what level of AI involvement triggers the labeling requirement. The only exemption—content eligible for copyright registration—creates further ambiguity because federal guidance on AI‑generated works is case‑by‑case.

Подробности об источнике: governing.com ↗

Почему это важно

If enacted, the FAIR News Act would be the first U.S. law directly regulating AI use in journalism, setting a precedent that could inspire similar measures in other states. The labeling requirement raises First Amendment concerns, as the Supreme Court has long guarded editorial independence from government intrusion. Small and independent newsrooms, which rely on generative‑AI tools for transcription, headline drafting, and translation, could face disproportionate compliance costs and legal risk, potentially curbing the use of cost‑effective AI assistance. The vague standard of “substantially” AI‑generated content leaves editors uncertain about when the label applies, forcing many outlets either to over‑label everything or to abandon AI tools altogether, both of which could diminish reporting capacity and diversity of coverage.

The act raises constitutional questions about government interference in editorial decisions, a core protection under the First Amendment. If upheld, it could set a legal precedent for state‑level regulation of newsroom practices, potentially prompting a cascade of similar bills across the country.

Small and independent newsrooms, which have increasingly adopted AI tools to offset limited staffing and budgets, may find the compliance burden prohibitive. The need to evaluate each piece for AI involvement and possibly label everything could deter the use of AI for tasks such as transcription, headline generation, and translation, reducing the capacity of these outlets to cover local government and community issues.

The lack of a clear threshold for what constitutes “substantially” AI‑generated content forces editors to make uncertain judgments, increasing the risk of inadvertent violations. This uncertainty could lead to over‑labeling, which may erode audience trust, or to the abandonment of AI tools, which would diminish efficiency and coverage breadth.

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Что посмотреть дальше

Key developments to monitor include the governor’s decision on whether to sign the bill into law, potential legal challenges filed by media organizations and civil‑society groups, and any amendments that clarify the definition of “substantially” AI‑generated content. Additionally, other states may propose comparable legislation, creating a patchwork of regulations that could affect national news distribution. Industry responses, such as voluntary AI‑labeling standards or the deployment of AI‑detection tools by major platforms, will also shape how the policy’s intent is realized in practice.

Governor Kathy Hochul’s decision on the bill will determine whether the labeling requirements become law. A signature would trigger immediate compliance timelines, while a veto could halt the initiative pending revisions.

Media organizations and civil‑society coalitions have signaled intent to challenge the law in court, citing First Amendment violations. The outcome of any litigation will clarify the permissible scope of state regulation over editorial processes.

Other states are monitoring New York’s approach; any subsequent legislation could create a fragmented regulatory landscape, complicating compliance for national news outlets that operate across multiple jurisdictions.

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