张静：筑牢人工智能发展安全防线

Core Viewpoint - The article emphasizes the importance of establishing a comprehensive risk prevention system for generative artificial intelligence (AI) development, highlighting its implications for national security, social stability, and international competitiveness [1][5]. Group 1: Technological Development and Safety - The Chinese government aims to ensure that technological innovation serves the public good, with a focus on improving people's lives and promoting social equity through generative AI [2][6]. - There is a need to balance development and safety, recognizing that safety is a prerequisite for development, and that effective risk management should be integrated throughout the entire lifecycle of AI technology [2][4]. Group 2: Data Governance - Data is crucial for training AI models, and its management must adhere to strict regulations to prevent misuse and ensure security, drawing on frameworks like the EU's General Data Protection Regulation [3][4]. - Establishing a robust data governance framework is essential, including real-time monitoring and quality control measures to enhance data reliability and prevent privacy breaches [3][6]. Group 3: Regulatory Framework - A clear legal framework is necessary for AI governance, which should define the responsibilities of developers, users, and regulators, ensuring compliance and effective oversight [4][5]. - Collaborative governance involving multiple departments is essential to enhance regulatory efficiency and address potential blind spots in AI oversight [4][6]. Group 4: Public Engagement and Education - Raising public awareness and understanding of AI is critical, with educational initiatives aimed at different age groups to foster a rational approach to technology and its risks [5][6]. - Encouraging societal participation in monitoring AI applications can create a supportive environment for sustainable development in the AI sector [5][6].