二〇二六年二月 欧洲汽车制造商协会 立场文件 提案：数字综合法案 建议 I. 数据采集 1. 拒绝修改《提案》第1条第2款第b项中关于数据主体的定义的提议。 2. 修改《提案》第1(2)(e)条中"机器可读数据"的定义，使其涵盖通过任何设备或远程服务器通信 接口传输的数据。 3. 删除提案第2(4)(b)条中"权限"定义中对"数据用户"的提及。 5. 扩大欧洲数据创新委员会的提议成员资格至 将提案的第1(22)条款中纳入行业和服务的代表。 6. 将《数据法》第4条第（13）款和第（14）款合并为一条单一、全面的条款，以规范对非 个人数据的便捷可用数据的利用。 事前 7. 撤销 通知要求，在《数据法》中规定，以减轻数据持有者和通知机构的管理负担 （第4条（2）、（7）、（8）款；第5条（10）、（11）款；第8条（3）款）。 8. 废止《数据法》对于数据持有人披露信息、说明补偿第三方计算依据的要求（第九条第七项 和第二十条第二项）。 9. 废除《数据法》第32条关于数据向第三国转移的规定；相关GDPR条款应仅适用于国际数据 传输。 第十条：废除《可再生能源指令》（欧盟2023/2413号）第二十条a款第三项。 ...

Core Insights - The majority of Hong Kong enterprises have adopted AI tools to varying degrees, with 88% of respondents indicating usage in their work, reflecting a significant increase in AI application in the Asia-Pacific region [1] - Despite the high awareness of AI among Hong Kong businesses, many remain at the proof-of-concept stage, primarily using AI for productivity enhancement rather than fully leveraging its potential [2] AI Adoption and Impact - 89% of respondents in the Asia-Pacific region reported adopting AI in the past 12 months, a notable increase from 69% in the previous survey [1] - In Hong Kong, 65% of respondents mainly use third-party AI tools in specific business areas or occasionally [1] - AI is reshaping recruitment trends in accounting and finance, with 17% of respondents noting a reduction in hiring junior accounting and finance staff due to AI applications [2][3] Recruitment Trends - The use of AI in data analysis and research tasks traditionally handled by junior employees is evident, allowing these employees to focus on more strategic responsibilities [3] - There is a growing need for employees to possess skills that enable collaboration with AI, enhancing existing services and creating new ideas [3] Government Role and Support - The Hong Kong government is urged to provide policy support and collaborate with institutions to develop future skills in the workforce, including AI-centric training programs [3] - Initiatives such as funding for SMEs to trial AI technologies and internship programs for students are recommended to enhance practical AI application [3] Data Protection and Cybersecurity - 26% of respondents expressed concern over data protection and privacy issues related to AI applications, while 72% reported implementing cybersecurity measures in the past year [3] - The establishment of a Managed Security Operation Center (MSOC) and AI security measures are highlighted as emerging trends to address cybersecurity challenges [4] Ethical Use of AI - Companies are encouraged to create AI development roadmaps and governance guidelines to ensure ethical use of AI tools in the workplace [4] - Employee training is crucial for reducing data leakage risks, emphasizing the importance of understanding data authorization for AI usage [4]