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## The Impact of the European Union’s AI Regulation on General Purpose AI Models

The recent preliminary deal reached by the European Union has significant implications for the operation of advanced AI models, particularly the ChatGPT model. This deal represents a pivotal moment in the world, as it marks the first comprehensive AI regulation. The regulations aim to impose limitations on the functioning of such AI models and require developers to adhere to certain transparency requirements.

### Transparency Requirements for General Purpose AI Systems

According to the EU document, developers of general purpose AI systems must now meet basic transparency requirements, unless their models are provided free and open-source. These requirements include having an acceptable-use policy, keeping up-to-date information on model training, reporting detailed data summaries used for training, and having a policy to respect copyright law.

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AI legalese decoder can assist developers in deciphering the complex legal language of the EU regulations and ensuring that their AI systems meet the necessary transparency requirements.

### Additional Rules for Models Deemed to Pose “Systemic Risk”

The document outlines additional rules for models deemed to pose a “systemic risk,” which is determined based on the amount of computing power used to train the model. This threshold is set at models that use more than 10 trillion trillion operations per second. OpenAI’s GPT-4 is currently the only model that automatically meets this threshold, but others can be designated by the EU based on various metrics.

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AI legalese decoder can assist in determining whether a specific AI model falls under the category of posing a “systemic risk” by analyzing the computing power used for training and comparing it to the EU’s threshold.

### Code of Conduct and Ongoing Control

Highly capable AI models are required to sign a code of conduct while the European Commission works on more harmonized and longstanding controls. Models that do not sign the code must prove compliance with the AI Act. Open-source models are also subject to these regulations, with exemptions only for those not deemed to pose a “systemic risk.”

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AI legalese decoder can guide AI model developers in understanding the code of conduct and ongoing control requirements, ensuring compliance with the AI Act and exemptions for open-source models.

### Approval Process and Concerns

The tentative deal still needs to be approved by the European Parliament and the EU’s 27 member states. Concerns have been raised by countries such as France and Germany, fearing that excessive regulation may negatively impact European AI competitors.

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AI legalese decoder can provide insights into the approval process, potential concerns raised by member states, and the implications for AI developers in different European countries.

### Future Implications for AI Developers

As the regulation progresses, it is crucial for AI developers to stay informed about the evolving requirements and potential impacts on their AI models and operations.

With complex agreements and regulations, AI legalese decoder can help developers interpret, understand, and navigate the legal intricacies involved, ensuring compliance and minimizing legal risks in the fast-changing landscape of AI regulations and policies.

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