将形成全球粤语语料库高地

Core Viewpoint - The establishment of the Guangdong-Hong Kong-Macao Greater Bay Area Generative AI Security Development Joint Laboratory aims to create a high-quality Cantonese corpus and promote the safe development of generative AI through a collaborative model integrating government, industry, academia, research, and application [2][4][8] Group 1: Role and Significance of the Joint Laboratory - The Joint Laboratory will enhance the AI industry ecosystem in the Greater Bay Area by integrating resources from Guangdong, Hong Kong, and Macau, improving efficiency in resource allocation [4] - It serves as a platform to address common challenges in generative AI security development and promotes collaborative governance across the three regions [4][5] - The laboratory aims to provide practical experience for international AI governance by exploring a unique model for generative AI security development under the "One Country, Two Systems, Three Legal Domains" framework [4] Group 2: Challenges in AI Governance - The Greater Bay Area faces challenges in cross-border governance due to differing regulatory frameworks between mainland China and Hong Kong, necessitating cooperation on AI governance principles and risk classification [5] - The laboratory is positioned to facilitate communication and research collaboration to develop AI governance solutions that can be implemented at the policy level [5] Group 3: Development of Safety Standards - Establishing a localized safety standard system for AI is a key task for the Joint Laboratory, focusing on sectors like education, healthcare, and finance [5] - The laboratory will prioritize the development of practical standards for AI safety classification and grading, considering the unique industrial structure of the Greater Bay Area [5] Group 4: Construction of a High-Quality Cantonese Corpus - The Joint Laboratory will focus on building a secure and high-quality Cantonese corpus, which is crucial for the effectiveness of generative AI in language processing [6][7] - A centralized approach to corpus construction will reduce compliance costs for enterprises and enhance the development of generative AI in the Greater Bay Area [6][8] - The laboratory will leverage existing resources and establish a mechanism for resource sharing among various stakeholders to improve the quality and capacity of the Cantonese corpus [7]