РЪКОВОДСТВО за обществото

Open-Source Exemptions in the EU AI Act

The EU AI Act contains limited exclusions and exemptions for free and open-source software and models, but “open source” is not a blanket exemption.

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  • Последна актуализация
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  1. Преглед
  2. Дълбоко гмуркане
  3. Стратегическо въздействие
  4. The Future of Open-Source Exemptions in the EU AI Act
  5. Внедряване в реалния свят
  6. Рискове и предпазни огради
  7. Пътна карта за изпълнение
  8. Продължете да изследвате
  9. Често задавани въпроси

Преглед

High-risk systems, prohibited practices, certain transparency duties, and systemic-risk model obligations can still apply.

Дълбоко гмуркане

Article 2(12) excludes certain free and open-source AI systems from the Regulation only where they are released under qualifying licences and are not placed on the market or put into service as high-risk systems, prohibited practices, or systems subject to specified transparency obligations. This provision is limited: it does not mean that every open-source project falls outside the Act, and it does not remove duties that may attach when another actor integrates a component into a regulated product or use. The Act has a separate, narrower rule for providers of general-purpose AI models. Some documentation and downstream-information obligations in Article 53(1)(a) and (b) do not apply when model parameters, including weights, architecture information, and usage information are publicly available under a free and open-source licence. The exemption does not cover the copyright-policy and training-content-summary duties in Article 53(1)(c) and (d). It also does not apply to a GPAI model presenting systemic risk; the systemic-risk obligations remain relevant. “Free” licensing is not the only condition. Public availability and what is actually released matter. A model card alone is not the weights; a source-code repository may not include model parameters. The legal treatment can also differ between a model and an AI system built using that model. Commercial distribution does not always erase every open-source provision, but monetized components and service arrangements can affect whether a condition is met. Read the relevant article and recitals rather than relying on a project’s label. Regulation 2026/1744 also amended Article 25(4): its written-information and assistance agreement duty does not apply to third parties publicly providing tools, services, processes, or components (but not GPAI models) under a free and open-source licence. This narrow exception does not exempt the integrated high-risk system provider; track each component and role separately.

Стратегическо въздействие

Риск и безопасност

Катастрофалните и ежедневните вреди от ИИ зависят от това кой разбира рисковете и кой може да действа.

По-ясни решения

Обществената и професионалната грамотност определя дали силната политика за безопасност е политически възможна.

Пречупване на шума

Ясните обяснения намаляват улавянето от шум, лабораторен PR и неясен етичен театър.

The Future of Open-Source Exemptions in the EU AI Act

Open and collaborative AI development will continue to evolve, and the AI Act itself changed through Regulation 2026/1744. The Commission’s implementation materials and consolidated EUR-Lex text should be checked before relying on an exception. Maintain versioned release records, especially when new monetization, hosted inference, support services, or downstream features are added. A change in the package can alter both legal classification and who carries a duty. Review the licence and package contents when a project adds hosted inference, proprietary weights, or a downstream integration.

Внедряване в реалния свят

A project releases weights and architecture under an open licence but separately checks whether systemic-risk duties apply.

A company integrates an open model into a CV-ranking service and assesses the resulting system’s high-risk purpose.

A maintainer documents paid hosting and support separately from the free code release.

A model provider keeps copyright-policy and training-content-summary work in scope despite a limited transparency exemption.

Рискове и предпазни огради

  • Третирането на екзистенциалния риск като научна фантастика, докато способностите се смесват.

  • Объркваща безопасност на повърхностния продукт с подравняване при висока автономност.

  • Оставяйки неанглийската и неекспертната публика само с източници с ниско качество.

Пътна карта за изпълнение

  1. Отделете рисковете от увреждане на продукта, неправилна употреба и загуба на контрол/неправилно подравняване.

  2. Попитайте кои доказателства биха променили мнението ви за сроковете и тежестта.

  3. Предпочитайте първичните източници и конкретните оценки пред маркетинговите твърдения.

  4. Определете един път на действие: кариера, политика, финансиране или умения - не само информираност.

Продължете да изследвате

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Често задавани въпроси

What is Open-Source Exemptions in the EU AI Act?

The EU AI Act contains limited exclusions and exemptions for free and open-source software and models, but “open source” is not a blanket exemption. High-risk systems, prohibited practices, certain transparency duties, and systemic-risk model obligations can still apply.

Does an open-source label exempt every AI Act obligation?

The provisions are conditional and differ by system and model duties.

Does releasing a base model under an open licence decide whether a hiring product is high-risk?

A model and an AI system are distinct objects under the Act.

Which release facts should a maintainer document?

A component-level record supports a precise scope assessment.

Why check the consolidated Regulation after the Digital Omnibus?

The amendments affect current statutory text and interpretation.