15 March 2024 | Claudio Novelli, Federico Casolarì, Philipp Hacker, Giorgio Spedicato, Luciano Floridi
The paper "Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity" by Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato, and Luciano Floridi explores the legal and regulatory implications of Generative AI, particularly Large Language Models (LLMs), in the European Union. The authors analyze the adequacy of existing and proposed EU legislation, including the Artificial Intelligence Act (AIA), in addressing the challenges posed by Generative AI, focusing on liability, privacy, intellectual property, and cybersecurity.
Key points include:
1. **Liability**: The paper examines the effectiveness of the Product Liability Directive (PLD) and the Artificial Intelligence Liability Directive (AILD) in regulating AI liability, especially for LLMs. It highlights the need for a more comprehensive liability regime to secure compensation and minimize preventive costs.
2. **Privacy and Data Protection**: The authors discuss the challenges of protecting user privacy in the context of LLMs, which are trained on personal data and can process sensitive information. They propose strategies to enhance privacy protection, such as using differential privacy and implementing robust data governance measures.
3. **Intellectual Property**: The paper explores the legal framework for intellectual property rights in relation to Generative AI, including the protection of content generated by these models and the potential for copyright infringement.
4. **Cybersecurity**: The authors address the cybersecurity risks associated with LLMs, emphasizing the importance of robust security measures to prevent data breaches and protect user information.
The paper concludes with recommendations to ensure the safe and compliant deployment of generative models, suggesting tailored regulatory measures and technological solutions to address the unique challenges posed by LLMs.The paper "Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity" by Claudio Novelli, Federico Casolari, Philipp Hacker, Giorgio Spedicato, and Luciano Floridi explores the legal and regulatory implications of Generative AI, particularly Large Language Models (LLMs), in the European Union. The authors analyze the adequacy of existing and proposed EU legislation, including the Artificial Intelligence Act (AIA), in addressing the challenges posed by Generative AI, focusing on liability, privacy, intellectual property, and cybersecurity.
Key points include:
1. **Liability**: The paper examines the effectiveness of the Product Liability Directive (PLD) and the Artificial Intelligence Liability Directive (AILD) in regulating AI liability, especially for LLMs. It highlights the need for a more comprehensive liability regime to secure compensation and minimize preventive costs.
2. **Privacy and Data Protection**: The authors discuss the challenges of protecting user privacy in the context of LLMs, which are trained on personal data and can process sensitive information. They propose strategies to enhance privacy protection, such as using differential privacy and implementing robust data governance measures.
3. **Intellectual Property**: The paper explores the legal framework for intellectual property rights in relation to Generative AI, including the protection of content generated by these models and the potential for copyright infringement.
4. **Cybersecurity**: The authors address the cybersecurity risks associated with LLMs, emphasizing the importance of robust security measures to prevent data breaches and protect user information.
The paper concludes with recommendations to ensure the safe and compliant deployment of generative models, suggesting tailored regulatory measures and technological solutions to address the unique challenges posed by LLMs.