The artificial intelligence sector is poised to break the trillion-dollar mark by 2020, according to the original title, which also highlights the pressing need for accelerated development of safety management regulations. This was reported by Feng Wei and edited by Chen Xu. Autonomous driving without a steering wheel might no longer be a distant dream, and in the near future, it may not even raise eyebrows among traffic officers.
On July 20th, the State Council released the "New Generation Artificial Intelligence Development Plan," emphasizing the establishment of ethical norms and policies in certain fields by 2020, with the aim of creating a more comprehensive legal and regulatory framework by 2030.
The key tasks outlined in the "Plan" include fostering an open and collaborative AI innovation ecosystem, developing a high-end and efficient smart economy, building a secure and convenient smart society, integrating military and civilian efforts in AI, constructing a pervasive, safe, and efficient intelligent infrastructure system, and initiating forward-thinking research on new-generation AI major scientific and technological projects.
To support AI growth, the plan encourages leveraging existing funds, facilities, and resources while coordinating both domestic and international innovation assets. It emphasizes the importance of financial investment, policy incentives, and market-driven resource allocation to encourage enterprise and societal contributions, forming a tripartite support model of fiscal funding, financial capital, and social capital.
Within three years, the core AI industry is expected to reach a scale of 150 billion yuan, positioning itself as a pivotal player in the technological revolution. The State Council’s issuance of the "New Generation Artificial Intelligence Development Plan" aims to capitalize on this transformative opportunity and secure China's lead in AI development.
The "Plan" addresses fundamental AI theories and technical challenges, proposing the establishment of a foundational theoretical system and a critical common technology framework. Breakthroughs are needed in areas like big data intelligence, cross-media awareness computing, and autonomous collaboration.
Liu Feng, Director of the Institute of Industrial Science and Technology Development at the China Academy of Science and Technology Development Institute, noted to the reporter of the "Daily Economic News": "AI and intelligent manufacturing encompass broad concepts, with self-awareness, self-determination, and self-adjustment being key features."
Despite these ambitions, the "Plan" acknowledges that China lags significantly behind developed nations in AI development, lacking groundbreaking original achievements, foundational theories, core algorithms, and essential hardware like high-end chips.
Challenges extend beyond technology. Liu Feng highlighted the need for breakthroughs in core components like chips, control software, and sensors, along with addressing cost concerns. Additionally, there are ethical and legal hurdles, such as defining liability for smart devices and protecting data privacy.
The "Plan" outlines a "three-step" strategy to ascend the global AI stage. By 2020, significant progress is expected in foundational theories and core technologies, placing China among the top competitors. By 2025, certain technologies and applications should reach world-leading status, driving industrial upgrades. By 2030, China aims to be a global leader in AI innovation.
By 2020, the core AI industry is projected to surpass 150 billion yuan, with related industries reaching over 1 trillion yuan; by 2030, the core industry is expected to exceed 1 trillion yuan, with total industry size exceeding 10 trillion yuan.
Beyond technology, ethical and legal considerations are crucial. Baihong Li’s recent demonstration of a driverless car in Beijing raised questions about liability and privacy. Liu Feng emphasized the need to address ownership of AI data, pricing, and legal accountability for smart device actions.
The "Plan" calls for preemptive regulation and ethical frameworks to ensure AI's responsible development, proposing studies on legal issues like civil and criminal responsibility, privacy protection, and establishing accountability systems. It particularly focuses on areas like autonomous driving and service robotics, advocating for swift legislation and ethical frameworks for human-machine collaboration.
This comprehensive approach underscores the government's commitment to balancing innovation with oversight, ensuring AI's positive impact on society.
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