欧盟法律中的生成式人工智能：责任、隐私、知识产权与网络安全
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
AI总结：
本文探讨欧盟法律对生成式AI及大型语言模型在责任、隐私、知识产权和网络安全方面的监管挑战，评估现有立法如《人工智能法案》草案的充分性，并提出改进建议以保障安全合规部署。
摘要：
生成式人工智能的出现，特别是通过像ChatGPT及其后继者这样的大型语言模型（LLMs），标志着人工智能领域的一个范式转变。先进的LLMs展现出多模态特性，能够处理多样化的数据格式，从而拓宽了其应用范围。然而，这些模型的复杂性和涌现出的自主性给可预测性和法律合规性带来了挑战。本文深入探讨了在欧盟背景下生成式人工智能和LLMs的法律与监管影响，分析了责任、隐私、知识产权和网络安全等方面。文章批判性地审视了现有及拟议的欧盟立法，包括《人工智能法案》（AIA）草案，在应对生成式人工智能尤其是LLMs所带来的独特挑战方面的充分性。本文识别了立法框架中的潜在空白和不足，并提出了建议，以确保生成模型的安全合规部署，使其与欧盟不断发展的数字格局和法律标准保持一致。
英文摘要：
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit multimodality, handling diverse data formats, thereby broadening their application scope. However, the complexity and emergent autonomy of these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union context, analyzing aspects of liability, privacy, intellectual property, and cybersecurity. It critically examines the adequacy of the existing and proposed EU legislation, including the Artificial Intelligence Act (AIA) draft, in addressing the unique challenges posed by Generative AI in general and LLMs in particular. The paper identifies potential gaps and shortcomings in the legislative framework and proposes recommendations to ensure the safe and compliant deployment of generative models, ensuring they align with the EU's evolving digital landscape and legal standards.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
