El Centro Estatal de Información (SIC) de China publicó el viernes un informe que se traduce como "Arquitectura de referencia para la construcción y desarrollo de aplicaciones industriales de inteligencia artificial " . El informe parece ser una guía para el desarrollo de tecnologías de IA en la región.
En particular, el lanzamiento llega en un momento controvertido en el que los modelos de IA de China están en el foco de atención. Si bien son aplaudidos por sus capacidades avanzadas, los modelos a menudo se autocensuran o evitan abordar temas políticos siguiendo instrucciones del gobierno. Cryptopolitan publicó recientemente un informe detallado sobre cómo la censura china podría influir en las percepciones globales sobre el poder de la IA.
El informe de la SIC afirma que el gobierno chino concede una gran importancia a la inteligencia artificial (IA). PBC ha estado dando prioridad a la IA y en abril anunció el desarrollo de un centro global de innovación en IA para 2030.
No creerás lo que están haciendo en China.
Este es el puerto chino en Guangzhou.
La gente descarga los barcos de forma remota con 5G, Y LUEGO, los vehículos de IA conducen matic los contenedores a los camiones y los cargan, sin asistencia humana. #CaminoaLaModernización pic.twitter.com/BIA6aBwSay
- Jason Smith – 上官杰文 (@ShangguanJiewen) 30 de septiembre 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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