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About this paper
Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanović, Mark Vero, Velko Vechev, Anna-Maria Gueorguieva, Mislav Balunović and 4 more
The COMPL-AI framework offers the first technical interpretation of the EU AI Act specifically for Large Language Models (LLMs) and introduces an associated benchmarking suite. Its evaluation of 12 prominent LLMs found that no model fully complies with the Act's requirements, especially regarding transparency and fairness, and identified significant gaps in current evaluation practices.
Key insights
- Translating broad legal requirements into precise, measurable technical criteria for AI systems is feasible but highlights the ambiguity in legal language and the need for standardized technical interpretations.
- Current LLM development largely prioritizes capabilities over regulatory aspects such as transparency, fairness, and robustness, leading to widespread non-compliance with the EU AI Act.
- Existing LLM benchmarks are often insufficient or ineffective for comprehensive regulatory assessment, particularly in areas like training data suitability, copyright, and user privacy, necessitating new evaluation tools.
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