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Legal and Policy Frameworks for Securing Large Language Models
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2025
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Abstract
The rapid development and deployment of Large Language Models (LLMs) have transformed numerous sectors, from healthcare and finance to defense and education. However, their widespread adoption introduces significant security, ethical, and legal challenges that necessitate robust legal and policy frameworks. This chapter examines the regulatory landscape and policy approaches for securing LLMs, emphasizing compliance with data protection, intellectual property, and cybersecurity standards. Key issues such as liability, accountability, transparency, and ethical use are explored, alongside emerging national and international strategies for governance. By analyzing current regulations and policy proposals, this chapter offers a comprehensive guide for stakeholders seeking to mitigate risks while fostering innovation in LLM applications.
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