O Centro de Informação do Estado da China (SIC) divulgou na sexta-feira um relatório que se traduz como “Arquitetura de Referência para a Construção e Desenvolvimento de Aplicações da Indústria de Inteligência Artificial ” . O relatório parece ser um guia para o desenvolvimento de tecnologias de IA na região.
Notavelmente, o lançamento ocorre num momento controverso, quando os modelos de IA da China estão em foco. Embora sejam aplaudidos pelas suas capacidades avançadas, os modelos muitas vezes autocensuram-se ou evitam abordar temas políticos sob instruções do governo. A Cryptopolitan fez recentemente um relatório detalhado sobre como a censura chinesa poderia influenciar as percepções globais do poder da IA.
O relatório da SIC afirma que o governo chinês dá uma importância significativa à inteligência artificial (IA). A PBC tem priorizado a IA e, em abril, anunciou o desenvolvimento de um centro global de inovação em IA até 2030.
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Este é o porto chinês em Guangzhou.
As pessoas descarregam navios remotamente com 5G, E ENTÃO, veículos de IA conduzem matic os contêineres até os caminhões e os carregam, sem assistência humana. #WaytoModernização pic.twitter.com/BIA6aBwSay
— Jason Smith – 上官杰文 (@ShangguanJiewen) 30 de setembro de 2024
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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