中国国家信息中心(SIC)周五发布了一份报告, 《人工智能行业应用建设和发展参考架构》 。该报告似乎是该地区发展人工智能技术的指南。
值得注意的是,此次发布正值中国人工智能模型备受争议的时期。虽然模型因其先进的能力而受到称赞,但它们经常进行自我审查或避免根据政府指示讨论政治话题。 Cryptopolitan最近做了一份关于中国审查制度如何影响全球对人工智能力量的看法的详细报告。
SIC报告称,中国政府高度重视人工智能(AI)。中国人民银行一直将人工智能放在优先位置,并于 4 月份宣布到 2030 年建立全球人工智能创新中心。
你不会相信他们在中国所做的事情。
这是中国广州的港口。
人们通过 5G 远程卸货,然后人工智能车辆matic将集装箱开到卡车上并装载,无需人工协助。 #WaytoModernization pic.twitter.com/BIA6aBwSay
— Jason Smith – 上官杰文 (@ShangguanJiewen) 2024 年 9 月 30 日
While China wants to expand its AI core industry to over 1 trillion yuan and related industries to 10 trillion yuan, the new report looks at how AI can be applied in key sectors. This means that the manufacturing, transportation, healthcare, finance, and consumer services sectors can see increased use of AI. The report also identifies challenges and opportunities for AI integration in these fields.
However, the question remains how censorship will continue to impact the growth and development of China’s AI technologies, particularly in open innovation and global collaboration. Restrictions on sensitive topics and controlled narratives could potentially limit the adaptability and competitiveness of Chinese AI models in international markets.
The report also outlines a “reference architecture” for building and scaling AI applications. This framework includes six key components. Computing power infrastructure ensures the necessary hardware and processing capabilities.
Data services handle the organization, storage, and accessibility of the vast datasets AI systems require. Model services focus on the algorithms and AI systems that drive intelligent decision-making. Application development provides tools and methodologies to create user-facing AI solutions, while operation and maintenance platforms ensure these systems run smoothly and securely.
Finally, operation platforms are designed for real-world deployment, enabling businesses to implement AI technologies seamlessly into their daily operations. China’s plan now is to place a comprehensive structure to streamline AI integration, aligning with its 2030 target of an AI innovation hub.
By the looks of things, China has taken a standardized approach. The report aims to overcome challenges caused by inconsistent technologies or data practices across companies. The report also prioritizes lowering costs for developing and replicating AI applications. It also looks at fostering innovation and market activity. This will come alongside the large-scale adoption of AI in various industries.
The framework helps teams focus on the most important parts of building AI solutions, encourages industries and tech experts to work together, and speeds up how quickly AI can be used in real-world situations.
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