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Concept欧盟AI法案 / EU AI Act

EU AI Act

The world's first comprehensive, systematic AI regulatory framework, which entered into force in the European Union in 2024. It classifies AI systems by risk level and imposes strict documentation, logging, transparency, and human oversight requirements on high-risk systems. Non-compliance can result in fines of up to 7% of global annual turnover.

Core Facts

Timeline (last 90 days)

Oct 13

Jnvoy writes audit logs to PostgreSQL and supports one-click generation of PDFs of FCA and EU AI Act compliance reports.

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Oct 12

The European Commission replied that "the clock cannot stop", and the rules for general-purpose AI models started as scheduled in August 2025.

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Oct 12

In July 2025, European business leaders published an open letter requesting that the European Commission pause the EU AI Act for two years; signatories included Arthur Mensch, CEO of France's Mistral AI, and Robin Rombach, CEO of Germany's Black Forest Labs.

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Oct 11

The EU AI Act explicitly does not regard a model's self-judgment as a sufficient safety guarantee.

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Oct 9

The study explicitly maps its mechanism to the provisions of the EU AI Act pertaining to high-risk credit scoring.

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Oct 6

OpenAI announced it will extend its technical approach to content provenance into the text domain in response to EU regulatory requirements.

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Sep 26

The EU AI Act, U.S. state privacy regulations such as the CCPA, and regulators in multiple countries are exploring dedicated compliance requirements for AI training data.

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Sep 25

There is still controversy over the threshold for determining whether general-purpose AI (GPAI) constitutes a 'systemic risk,' and enforcement mechanisms are still being established.

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Sep 19

The U.S. NIST has released the AI Risk Management Framework (AI RMF), and the EU AI Act requires mandatory testing for high-risk systems.

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Sep 11

AgentAudit provides a compliance view oriented toward the EU AI Act and generates a basic Trust/Risk Score for each agent.

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17 more timeline events

All Facts (20)

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The EU Artificial Intelligence Act (AI Act) explicitly requires that high-risk AI systems must have human oversight and intervention capabilities.

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欧盟的《人工智能法案》(EU AI Act)于2024年正式生效,将AI系统按风险等级分类管理

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The EU AI Act officially came into effect in 2024, explicitly requiring high-risk AI systems to provide explainable decision-making rationale

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The EU AI Act lists scenarios such as credit scoring, recruitment screening, and judicial assistance as high-risk applications.

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Under the EU AI Act, "systemic risk" models trained with computing power exceeding 10^25 FLOPs are subject to additional safety assessments.

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Penalties for violations of the EU AI Act can reach up to 7% of global revenue or €35 million.

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The EU AI Act has extraterritorial effect: even if a company's headquarters is not within the EU, it must comply with the regulations as long as its AI system outputs are directed at the EU market or affect EU citizens.

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The EU AI Act categorizes generative AI under General Purpose AI (GPAI), requiring public disclosure of training data summaries, compliance with copyright regulations, and additional systemic risk assessments for models exceeding a specific FLOPs threshold.

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Regulatory frameworks such as the U.S. AI Safety Institute (AISI) and the EU AI Act are attempting to establish tiered control mechanisms targeting high-risk AI capabilities.

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欧盟《AI法案》规定高风险 AI 系统必须保留详细的运行日志,且日志须具备完整性保障

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The EU AI Act requires Human-in-the-Loop mechanisms for high-risk AI systems.

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The EU AI Act grants copyright holders the right to opt out.

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The EU AI Act requires GPAI providers to publish sufficiently detailed training data summaries, with a threshold of 10²⁵ FLOPs of computation for systemic risk models.

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欧盟《AI法案》要求AI公司披露训练数据来源

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The EU AI Act sets transparency and safety assessment obligations for general-purpose AI (GPAI) models, and models with systemic risks are required to undergo adversarial testing and incident reporting.

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The EU AI Act imposes stricter requirements on models deemed to pose systemic risk

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One criterion for determining systemic risk is the computational resources used for model training, measured in floating point operations (FLOPs) as a threshold

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Providers of general-purpose AI models must maintain detailed technical documentation explaining the model's training process, capability boundaries, and limitations, and provide it to regulators when required

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Developers must publish a summary of training data usage, particularly regarding how copyright-protected content is handled

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欧盟AI法案禁止类条款于2025年2月生效,GPAI相关条款于2025年8月生效,高风险系统条款延至2026年

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