AI law[규정 준수 프레임워크에서 Google의 AI가 위험하다고 분류되나?] EU AI Legal Compliance Assessment Framework Compl-AI Analysis and Implications:AINet

EU AI Legal Compliance Assessment Framework Compl-AI Analysis and Implications

summation

With the EU passing the world’s first AI law, interest in the ethical development and use of AI models is growing. Meanwhile, the Compl-AI framework is a groundbreaking attempt to evaluate compliance of AI models by quantifying the six ethical principles of EU AI law.

Key features of Compl-AI:

• 27 benchmarks: The performance of AI models is comprehensively evaluated through various benchmarks such as “following harmful instructions” and “truthfulness.”
• 0~1 score: The degree of compliance with the AI ​​model is quantified so that it can be intuitively understood.
• Open source: Anyone can use it for free, supporting ethical AI development by AI developers.
• Physical model evaluation: It proved its effectiveness by evaluating the best models from global AI companies such as Anthropic, OpenAI, and Meta.

Evaluation results:

• High score absent: Although no model yet fully complies with EU AI laws, OpenAI’s GPT-4 and Anthropic’s Claude 3 Opus received the highest scores.
• Low scores from the Google Gemma model: Google Gemma, an open source model, received the lowest score, raising concerns about the balance between model performance and ethical issues.

Implications:

• Ensuring the effectiveness of EU AI law: Compl-AI can help AI developers comply with the law by translating ambiguous legal provisions into concrete technical requirements.
• Promoting the ethical development of AI models: Compl-AI allows AI developers to identify and improve ethical issues in their models.
• A new paradigm in AI regulation: The development of objective evaluation tools such as Compl-AI presents a new paradigm for AI regulation.
• Continued research and development needs: Considering the pace of development of AI technology, the Compl-AI framework must also be continuously updated.

conclusion

Compl-AI represents an important milestone in the field of AI development and is expected to contribute to efforts for the ethical development and safe use of AI. However, Compl-AI is still in its early stages and needs to develop into a more sophisticated and comprehensive evaluation system.

Future research directions:

• Development of various benchmarks: Benchmarks need to be expanded to evaluate different aspects of AI models.
• Enhancing explainability: We need to add a function that can clearly explain the basis for the AI ​​model’s judgment.
• Ongoing updates: The framework must be continuously updated as AI technology advances.

Areas available for further analysis

• Limitations of Compl-AI: You can analyze what Compl-AI’s current limitations are and how they can be improved.
• Evaluating other AI models: Compl-AI evaluation results for other AI models can be compared and analyzed to identify differences between models.
• The future of AI regulation: It is possible to predict what impact the emergence of tools such as Compl-AI will have on AI regulation.
• AI ethics training: The possibility of developing an AI ethics education program using Compl-AI can be explored.

EU artificial intelligence law passed in August

This is attracting attention as the world’s first AI regulation bill. The bill assesses AI systems on a risk basis, classifying them as unacceptable, high risk, or minimal risk. LatticeFlow, ETH Zurich, and the Institute for Computer Science and Artificial Intelligence (INSAIT) have developed Compl-AI, a framework to help AI developers evaluate model performance against the EU’s AI Principles and ensure legal compliance.

Compl-AI evaluates the responses of AI models against 27 benchmarks, including “following harmful instructions” and “authenticity.” The framework gives models a score between 0 (non-compliant) and 1 (fully compliant), or N/A if there is insufficient data. Major AI models from Anthropic, OpenAI, Meta, and Google have already been evaluated. Although no model received the highest score, OpenAI’s GPT-4 and Anthropic’s Claude 3 Opus had the highest compliance rate with 0.89 points, while Google’s Gemma model recorded the lowest score, 0.72 points.

The Compl-AI framework has received positive reviews from regulators. Regulators see this framework as a first step in translating vague, non-technical and broad laws into practical benchmarks that will help AI model providers implement the law.

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