Expert System Industry In China

The expert system industry in individuals’s Republic of China is a quickly developing multi-billion dollar market. The roots of China’s AI advancement started in the late 1970s following Deng Xiaoping’s economic reforms highlighting science and technology as the country’s main efficient force.

The preliminary phases of China’s AI development were slow and experienced considerable difficulties due to lack of resources and talent. At the beginning China lagged many Western nations in terms of AI advancement. A bulk of the research study was led by researchers who had received college abroad. [1]

Since 2006, the government of individuals’s Republic of China has gradually established a national agenda for expert system development and emerged as one of the leading countries in expert system research study and advancement. [2] In 2016, the Chinese Communist Party (CCP) launched its thirteenth five-year strategy in which it aimed to end up being a worldwide AI leader by 2030. [3]

The State Council has a list of “nationwide AI teams” including fifteen China-based companies, consisting of Baidu, Tencent, Alibaba, SenseTime, and iFlytek. [citation required] Each company should lead the advancement of a designated specialized AI sector in China, such as facial recognition, software/hardware, and speech recognition. China’s quick AI development has substantially impacted Chinese society in many locations, consisting of the socio-economic, military, and political spheres. Agriculture, transportation, lodging and food services, and production are the top industries that would be the most impacted by more AI implementation.

The economic sector, university labs, and the military are working collaboratively in numerous elements as there are few present existing limits. [4] In 2021, China released the Data Security Law of individuals’s Republic of China, its very first national law resolving AI-related ethical issues. In October 2022, the United States federal government revealed a series of export controls and trade limitations intended to limit China’s access to advanced computer system chips for AI applications. [5] [6]

Concerns have actually been raised about the results of the Chinese government’s censorship routine on the development of generative expert system and skill acquisition with state of the country’s demographics. [7] [8]

History

The research and advancement of synthetic intelligence in China started in the 1980s, with the announcement by Deng Xiaoping of the importance of science and technology for China’s financial development. [3]

Late 1970s to early 2010s

Artificial intelligence research and advancement did not begin until the late 1970s after Deng Xiaoping’s financial reforms. [3] While there was an absence of AI-related research study in between the 1950s and 1960s, some scholars believe this is due to the impact of cybernetics from the Soviet Union despite the Sino-Soviet split during the late 1950s and early 1960s. [9] In the 1980s, a group of Chinese researchers launched AI research led by Qian Xuesen and Wu Wenjun. [9] However, throughout the time, China’s society still had a normally conservative view towards AI. [9] Early AI advancement in China was tough so China’s federal government approached these challenges by sending Chinese scholars overseas to study AI and more supplying federal government funds for research tasks. The Chinese Association for Artificial Intelligence (CAAI) was established in September 1981 and was authorized by the Ministry of Civil Affairs. [10] The first chairman of the executive committee was Qin Yuanxun, who received a PhD in philosophy from Harvard University. [citation required] In 1987, China’s very first research publication on synthetic intelligence was released by Tsinghua University. Beginning in 1993, wise automation and intelligence have been part of China’s national innovation plan. [9]

Since the 2000s, the Chinese government has further expanded its research and advancement funds for AI and the variety of government-sponsored research study tasks has considerably increased. [3] In 2006, China announced a policy concern for the development of artificial intelligence, which was included in the National Medium and Long Term Prepare For the Development of Science and Technology (2006-2020), released by the State Council. [2] In the exact same year, artificial intelligence was likewise pointed out in the l lth five-year strategy. [11]

In 2011, the Association for the Advancement of Artificial Intelligence (AAAI) developed a branch in Beijing, China. [12] At exact same year, the Wu Wenjun Artificial Intelligence Science and Technology Award was established in honor of Chinese mathematician Wu Wenjun, and it became the greatest award for Chinese achievements in the field of expert system. The first award ceremony was hung on May 14, 2012. [13] In 2013, the International Joint Conferences on Artificial Intelligence (IJCAI) was held in Beijing, marking the first time the conference was held in China. This event coincided with the Chinese government’s announcement of the “Chinese Intelligence Year,” a considerable milestone in China’s development of synthetic intelligence. [12]

Late 2010s to early 2020s

The State Council of China released “A Next Generation Artificial Intelligence Development Plan” (State Council Document [2017] No. 35) on 20 July 2017. In the document, the CCP Central Committee and the State Council advised governing bodies in China to promote the advancement of expert system. Specifically, the strategy described AI as a tactical innovation that has ended up being a “focus of global competitors”. [14]:2 The file urged substantial financial investment in a number of strategic areas related to AI and called for close cooperation between the state and economic sectors. On the occasion of CCP basic secretary Xi Jinping’s speech at the first plenary meeting of the Central Military-Civil Fusion Development Committee (CMCFDC), scholars from the National Defense University composed in the PLA Daily that the “transferability of social resources” in between economic and military ends is an important part to being a fantastic power. [15] During the Two Sessions 2017,”artificial intelligence plus” was proposed to be elevated to a strategic level. [16] The exact same year experienced the development of multiple application-level uses in the medical field according to reports. [17] Furthermore, the Chinese Academy of Sciences (CAS) developed their AI processor chip research study lab in Nanjing, and introduced their very first AI expertise chip, Cambrian. [citation required]

In 2018, Xinhua News Agency, in partnership with Tencent’s subsidiary Sogou, introduced its first artificial intelligence-generated news anchor. [18] [19] [20]

In 2018, the State Council allocated $2.1 billion for an AI industrial park in Mentougou district. [21] In order to achieve this the State Council specified the requirement for enormous skill acquisition, theoretical and practical developments, in addition to public and private financial investments. [14] Some of the mentioned inspirations that the State Council gave for pursuing its AI strategy include the potential of synthetic intelligence for industrial transformation, better social governance and keeping social stability. [14] As of the end of 2020, Shanghai’s Pudong District had 600 AI business throughout fundamental, technical, and application layers, with associated markets valued at around 91 billion yuan. [22]

In 2019, the application of expert system broadened to various fields such as quantum physics, geography, and medical research study. With the development of large language designs (LLMs), at the beginning of 2020, Chinese researchers began developing their own LLMs. One such example is the multimodal large design called ‘Zidongtaichu.’ [23]

The Beijing Academy of Expert system released China’s very first large scale pre-trained language model in 2022. [24] [25]:283

In November 2022, the Cyberspace Administration of China (CAC), Ministry of Industry and Infotech, and the Ministry of Public Security collectively released the guidelines concerning deepfakes, which became effective in January 2023. [26]

In July 2023, Huawei released its variation 3.0 of its Pangu LLM. [27]

In July 2023, China launched its Interim Measures for the Administration of Generative Artificial Intelligence Services. [28]:96 A draft proposal on basic generative AI services security requirements, including requirements for data collection and design training was provided in October 2023. [28]:96

Also in October 2023, the Chinese government released its Global AI Governance Initiative, which frames its AI policy as part of a Neighborhood of Common Destiny and intends to develop AI policy discussion with establishing nations. [29] [28]:93 The Initiative has actually revealed concern over AI security threats, including abuse of information or making use of AI by terrorists. [28]:93

In 2024, Spamouflage, an online disinformation and propaganda project of the Ministry of Public Security, started utilizing news anchors produced with generative artificial intelligence to provide fake news clips. [18]

In March 2024, Premier Li Qiang introduced the AI+ Initiative, which means to integrate AI into China’s real economy. [28]:95

In May 2024, the Cyberspace Administration of China announced that it rolled out a large language design trained on Xi Jinping Thought. [30]

According to the 2024 report from the International Data Corporation (IDC), Baidu AI Cloud holds China’s largest LLM market share with 19.9 percent and US$ 49 million in income over the in 2015. This was followed by SenseTime, with 16 percent market share, and by Zhipu AI, as the third biggest. The fourth and 5th largest were Baichuan and the Hong-Kong listed AI business 4Paradigm respectively. [31] Baichuan, Zhipu AI, Moonshot AI and MiniMax were applauded by investors as China’s new “AI Tigers”. [32] In April 2024, 117 generative AI models had actually been authorized by the Chinese federal government. [33]

As of 2024, lots of Chinese innovation firms such as Zhipu AI and Bytedance have launched AI video-generation tools to rival OpenAI’s Sora. [34]

Chronology of major AI-related policies

Ministry of Science and Technology; Ministry of Industry and Information Technology; the Central Leading Group for Cyberspace Affairs

National Development and Reform Commission; Ministry of Science and Technology Ministry of Industry and Information Technology

Government objectives

According to a February 2019 publication by the Center for a New American Security, CCP basic secretary Xi Jinping – thinks that being at the forefront of AI innovation will be important to the future of international military and economic power competitors. [35] By 2025, the State Council goes for China to make essential contributions to basic AI theory and to solidify its place as an international leader in AI research. Further, the State Council aims for AI to end up being “the primary driving force for China’s industrial updating and financial change” by this time. [14] By 2030, the State Council aims to have China be the international leader in the development of artificial intelligence theory and innovation. The State Council declares that China will have established a “mature new-generation AI theory and technology system.” [14]

According to academics Karen M. Sutter and Zachary Arnold, the Chinese federal government “looks for to meld state planning and control while some operational flexibility for companies. In this context, China’s AI firms are hybrid gamers. The state guides their activity, funds, and guards them from foreign competition through domestic market defenses, creating asymmetric advantages as they expand offshore.” [36]

The CCP’s fourteenth five-year strategy declared AI as a leading research concern and ranks AI first amongst “frontier markets” that the Chinese government intends to focus on through 2035. [3] The AI industry is a strategic sector frequently supported by China’s federal government guidance funds. [37]:167

Research and development

Chinese public AI funding primarily focused on innovative and applied research. [38] The federal government funding also supported several AI R&D in the economic sector through equity capital that are backed by the state. [38] Much analytic agency research showed that, while China is enormously purchasing all aspects of AI development, facial acknowledgment, biotechnology, quantum computing, medical intelligence, and autonomous lorries are AI sectors with the most attention and financing. [39]

According to nationwide assistance on establishing China’s state-of-the-art industrial advancement zones by the Ministry of Science and Technology, there are fourteen cities and one county chosen as an experimental development zone. [40] Zhejiang and Guangdong provinces have the most AI innovation in speculative areas. However, the focus of AI R&D varied depending upon cities and regional commercial development and ecosystem. For instance, Suzhou, a city with a longstanding strong manufacturing market, heavily concentrates on automation and AI infrastructure while Wuhan focuses more on AI implementations and the education sector. [40] In connection with universities, tech companies, and nationwide ministries, Shenzhen and Hangzhou each co-founded generative AI labs. [25]:282

In 2016 and 2017, Chinese teams won the leading prize at the Large Scale Visual Recognition Challenge, a worldwide competitors for computer system vision systems. [41] A lot of these systems are now being incorporated into China’s domestic surveillance network. [42]

Interdisciplinary partnerships play a necessary role in China’s AI R&D, including academic-corporate cooperation, public-private collaborations, and global cooperations and projects with corporate-government collaborations are the most common. [1] China ranked in the leading three worldwide following the United States and the European Union for the total variety of peer-reviewed AI publications that are produced under a corporate-academic collaboration in between 2015 and 2019. [43] Besides, according to an AI index report, China surpassed the U.S. in 2020 in the overall variety of international AI-related journal citations. [43] In terms of AI-related R&D, China-based peer-reviewed AI papers are mainly sponsored by the federal government. In May 2021, China’s Beijing Academy of Expert system launched the world’s largest pre-trained language model (WuDao). [44]

Since 2023, 47% of the world’s top AI researchers had completed their undergraduate studies in China. [28]:101

According to scholastic Angela Huyue Zhang, publishing in 2024, while the Chinese government has actually been proactive in controling AI services and enforcing obligations on AI business, the general technique to its policy is loose and demonstrates a pro-growth policy favorable to China’s AI market. [28]:96 In July 2024, the government opened its very first algorithm registration center in Beijing. [45]

Population

China’s big population creates an enormous amount of accessible information for business and scientists, which uses a crucial advantage in the race of huge information. As of 2024 [upgrade], China has the world’s biggest number of web users, producing big amounts of data for artificial intelligence and AI applications. [46]:18

Facial acknowledgment

Facial recognition is one of the most commonly used AI applications in China. Collecting these large quantities of data from its locals assists further train and broaden AI capabilities. China’s market is not only favorable and valuable for corporations to additional AI R&D however likewise provides significant financial possible drawing in both international and domestic firms to sign up with the AI market. The extreme development of the details and interaction innovation (ICT) industry and AI chipsets over the last few years are 2 examples of this. [47] China has actually ended up being the world’s largest exporter of facial acknowledgment technology, according to a January 2023 Wired report. [48]

Censorship and content controls

In April 2023, [49] the Cyberspace Administration of China (CAC) issued draft procedures specifying that tech companies will be obliged to guarantee AI-generated material upholds the ideology of the CCP consisting of Core Socialist Values, prevents discrimination, respects copyright rights, and safeguards user data. [50] [25]:278 Under these draft measures, business bear legal duty for training information and content produced through their platforms. [25]:278 In October 2023, the Chinese government mandated that generative synthetic intelligence-produced material might not “incite subversion of state power or the toppling of the socialist system.” [51] Before releasing a big language model to the public, business should look for approval from the CAC to certify that the design refuses to answer specific concerns connecting to political ideology and criticism of the CCP. [8] [52] Questions connected to politically delicate topics such as the 1989 Tiananmen Square demonstrations and massacre or comparisons between Xi Jinping and Winnie the Pooh need to be decreased. [52]

In 2023, in-country access was blocked to Hugging Face, a business that preserves libraries including training information sets commonly used for big language designs. [8] A subsidiary of individuals’s Daily, the main paper of the Central Committee of the Chinese Communist Party, provides regional companies with training data that CCP leaders think about permissible. [8] In 2024, the People’s Daily released a LLM-based tool called Easy Write. [53]

Microsoft has alerted that the Chinese federal government utilizes generative expert system to interfere in foreign elections by spreading out disinformation and provoking conversations on dissentious political issues. [54] [55] [56]

The Chinese expert system model DeepSeek has been reported to decline to answer concerns relating to aspects of the 1989 Tiananmen Square protests and massacre, persecution of Uyghurs, comparisons in between Xi Jinping and Winnie the Pooh or human rights in China. [57] [58] [59]

Impact

Economic impact

Most agencies [who?] hold optimistic views about AI’s financial effect on China’s long-term economic development. In the past, conventional industries in China have dealt with the boost in labor expenses due to the growing aging population in China and the low birth rate. With the release of AI, operational expenses are expected to decrease while an increase in efficiency creates earnings growth. [60] Some highlight the value of a clear policy and governmental assistance in order to overcome adoption barriers consisting of costs and absence of effectively trained technical talents and AI awareness. [61] However, there are concerns about China’s deepening income inequality and the ever-expanding imbalanced labor market in China. Low- and medium-income employees might be the most negatively affected by China’s AI advancement since of rising demands for laborers with innovative skills. [61] Furthermore, China’s economic growth may be disproportionately divided as a bulk of AI-related commercial advancement is focused in seaside areas instead of inland. [61]

An influential decision by the Beijing Internet Court has actually ruled that AI-generated content is entitled to copyright security. [28]:98

Military impact

China seeks to build a “first-rate” armed force by “intelligentization” with a specific concentrate on using unmanned weapons and synthetic intelligence. [62] [63] It is researching various types of air, land, sea, and undersea self-governing vehicles. In the spring of 2017, a civilian Chinese university with ties to the military demonstrated an AI-enabled swarm of 1,000 uninhabited aerial lorries at an airshow. A media report released afterwards showed a computer system simulation of a comparable swarm formation finding and damaging a rocket launcher. [4]:23 Open-source publications showed that China is also establishing a suite of AI tools for cyber operations. [64] [4]:27 Chinese advancement of military AI is mostly affected by China’s observation of U.S. plans for defense innovation and worries of a broadening “generational space” in comparison to the U.S. military. Similar to U.S. military concepts, China intends to utilize AI for exploiting big chests of intelligence, generating a common operating image, and accelerating battleground decision-making. [64] [4]:12 -14 The Chinese Multi-Domain Precision Warfare (MDPW) is thought about China’s action to the U.S. Joint All-Domain Command and Control (JADC2) technique, which seeks to integrate sensors and weapons with AI and an energetic network. [65] [66]

Twelve classifications of military applications of AI have actually been recognized: UAVs, USVs, UUVs, UGVs, intelligent munitions, intelligent satellites, ISR (Intelligence, Surveillance and Reconnaissance) software, automated cyber defense software application, automated cyberattack software, choice assistance, software, automated rocket launch software, and cognitive electronic warfare software application. [67]

China’s management of its AI ecosystem contrasts with that of the United States. [4]:6 In general, few borders exist between Chinese industrial companies, university research labs, the military, and the main federal government. As a result, the Chinese federal government has a direct means of directing AI development priorities and accessing technology that was ostensibly established for civilian functions. To even more reinforce these ties the Chinese federal government created a Military-Civil Fusion Development Commission which is meant to speed the transfer of AI innovation from industrial business and research institutions to the military in January 2017. [2] [4]:19 In addition, the Chinese government is leveraging both lower barriers to information collection and lower expenses of information identifying to create the big databases on which AI systems train. [68] According to one price quote, China is on track to have 20% of the world’s share of information by 2020, with the potential to have more than 30% by 2030. [64] [4]:12

China’s centrally directed effort is buying the U.S. AI market, in business dealing with militarily relevant AI applications, possibly granting it lawful access to U.S. technology and copyright. [69] Chinese equity capital financial investment in U.S. AI companies in between 2010 and 2017 totaled an estimated $1.3 billion. [70] [64] In September 2022, the U.S. Biden administration released an executive order to prevent foreign investments, “particularly those from competitor or adversarial nations,” from investing in U.S. technology firms, due to U.S. nationwide security issues. [71] [72] The order covers fields of U.S. technologies in which Chinese government has been investing, including “microelectronics, expert system, biotechnology and biomanufacturing, quantum computing, [and] innovative clean energy.” [71] [72]

In 2024, scientists from the People’s Liberation Army Academy of Military Sciences were reported to have actually established a military tool utilizing Llama, which Meta Platforms said was unauthorized due to its model usage prohibition for military functions. [73] [74]

Academia

Although in 2004, Peking University introduced the very first academic course on AI which led other Chinese universities to adopt AI as a discipline, especially given that China deals with difficulties in recruiting and maintaining AI engineers and scientists. [21] Over half of the information researchers in the United States have been working in the field for over 10 years, while approximately the same percentage of data researchers in China have less than 5 years of experience. Since 2017, fewer than 30 Chinese Universities produce AI-focused specialists and research products. [61]:8 Although China surpassed the United States in the variety of research study papers produced from 2011 to 2015, the quality of its published documents, as judged by peer citations, ranked 34th internationally. [75] China specifically want to resolve military applications and so the Beijing Institute of Technology, among China’s premier institutes for weapons research, recently developed the very first kids’s educational program in military AI on the planet. [76]

In 2019, 34% of Chinese trainees studying in the AI field remained in China for work. [77] According to a database kept by an American thinktank, the portion increased to 58% in 2022. [77]

Ethical concerns

For the past years, there are conversations about AI safety and ethical concerns in both private and public sectors. In 2021, China’s Ministry of Science and Technology released the first national ethical standard, ‘the New Generation of Expert System Ethics Code’ on the subject of AI with specific emphasis on user protection, information privacy, and security. [78] This file acknowledges the power of AI and quick technology adjustment by the huge corporations for user engagements. The South China Morning Post reported that people will remain completely decision-making power and rights to opt-in/-out. [78] Before this, the Beijing Academy of Expert system published the Beijing AI concepts requiring important needs in long-lasting research and preparation of AI ethical concepts. [79]

Data security has been the most common topic in AI ethical conversation worldwide, and many national governments have developed legislation resolving data personal privacy and security. The Cybersecurity Law of individuals’s Republic of China was enacted in 2017 aiming to address new challenges raised by AI advancement. [80] [initial research?] In 2021, China’s new Data Security Law (DSL) was passed by the PRC congress, setting up a regulative structure categorizing all sort of data collection and storage in China. [81] This implies all tech business in China are required to classify their data into classifications noted in Digital Subscriber Line (DSL) and follow particular standards on how to govern and manage data transfers to other parties. [81]

Judicial system

In 2019, the city of Hangzhou developed a pilot program artificial intelligence-based Internet Court to adjudicate conflicts related to ecommerce and internet-related copyright claims. [82]:124 Parties appear before the court by means of videoconference and AI evaluates the evidence provided and applies pertinent legal standards. [82]:124

Because some questionable cases that drew public criticism for their low penalties have been withdrawn from China Judgments Online, there are concerns about whether AI based upon fragmented judicial data can reach objective decisions. [83] Zhang Linghan, teacher of law at the China University of Government and Law, writes that AI-technology companies may deteriorate judicial power. [84] Some scholars argued that “increasing party leadership, political oversight, and reducing the discretionary area of judges are intentional goals of SCR [clever court reform]” [85]

Leading business

Leading AI-centric companies and start-ups include Baidu, Tencent, Alibaba, SenseTime, 4Paradigm and Yitu Technology. [86] Chinese AI companies iFlytek, SenseTime, Cloudwalk and DJI have received attention for facial recognition, sound recognition and drone technologies. [87]

China’s federal government takes a market-oriented approach to AI, and has sought to encourage private tech companies in developing AI. [25]:281 In 2018, it designated Baidu, Alibaba, iFlytek, Tencent, and SenseTime as “AI champions”. [25]:281

In 2023, Tencent debuted its large language model Hunyuan for enterprise use on Tencent Cloud. [88]

New leading AI startups consist of Baichuan, Zhipu AI, Moonshot AI and MiniMax which were praised by investors as China’s brand-new “AI Tigers” in 2024. [32] 01. AI has likewise been touted as a leading start-up. [89]

Assessment

Academic Jinghan Zeng argued the Chinese federal government’s dedication to global AI management and technological competition was driven by its previous underperformance in innovation which was seen by the CCP as a part of the century of humiliation. [90] According to Zeng, there are traditionally embedded causes of China’s stress and anxiety towards protecting a global technological supremacy – China missed out on both commercial revolutions, the one beginning in Britain in the mid-18th century, and the one that came from in America in the late-19th century. [90] Therefore, China’s federal government desires to take benefit of the technological transformation in today’s world led by digital technology consisting of AI to resume China’s “rightful” place and to pursue the nationwide restoration proposed by Xi Jinping. [90]

A short article released by the Center for a Brand-new American Security concluded that “Chinese government officials demonstrated extremely eager understanding of the problems surrounding AI and worldwide security. This consists of understanding of the U.S. AI policy conversations,” and advised that “the U.S. policymaking neighborhood to likewise focus on cultivating proficiency and understanding of AI advancements in China” and “financing, focus, and a determination among U.S. policymakers to drive large-scale necessary change.” [35] A post in the MIT Technology Review likewise concluded: “China may have unequaled resources and massive untapped potential, however the West has world-leading expertise and a strong research culture. Instead of fret about China’s development, it would be wise for Western nations to focus on their existing strengths, investing greatly in research and education. ” [91]

The Chinese government’s censorship routine has stunted the development of generative artificial intelligence [7] [8]

In a 2021 text, the Research Centre for a Holistic Approach to National Security at the China Institutes of Contemporary International Relations composed that the development of AI produces obstacles for holistic nationwide security, consisting of the risks that AI will increase social tensions or have destabilizing impacts on worldwide relations. [28]:49

Writing from a Chinese Marxist view, academics consisting of Gao Qiqi and Pan Enrong compete that capitalist application of AI will result in higher oppression of employees and more severe social problems. [28]:90 Gao mentions how the advancement of AI has actually increased the power of platform business like Meta, Twitter, and Alphabet, leading to greater capital accumulation and political power in fewer financial stars. [28]:90 According to Gao, the state must be the main accountable star in the location of generative AI (creating brand-new content like music or video). [28]:92 Gao composes that military use of AI risks escalating military competitors between countries which the impact of AI in military matters will not be limited to one country however will have spillover results. [28]:91

Dialogues between Chinese and Western AI specialists about the existential threat from synthetic intelligence have actually happened. [92]

Public polling

The Chinese public is typically positive concerning AI. [25]:283 [28]:101 A 2021 research study carried out across 28 nations found that 78% of the Chinese public thinks the benefits of AI exceed the risks, the highest of any country in the study. [25]:283 In 2024, a survey of elite Chinese university students found that 80% agreed or highly agreed that AI will do more excellent than harm for society, and 31% thought it must be controlled by the . [93]

Human rights

The commonly used AI facial acknowledgment has actually raised concerns. [94] According to The New York Times, implementation of AI facial acknowledgment technology in the Xinjiang region to discover Uyghurs is “the first known example of a federal government deliberately using synthetic intelligence for racial profiling,” [95] which is said to be “one of the most striking examples of digital authoritarianism.” [96] Researchers have actually found that in China, areas experiencing higher rates of discontent are connected with increased state acquisition of AI facial acknowledgment technology, especially by local community police departments. [97] [98]

Artificial intelligence.
Expert system arms race
China Brain Project
Fifth generation computer system
List of artificial intelligence companies
Regulation of expert system

References

^ a b Chang, Huey-Meei; Hannas, William C. (2022-06-22), “Foreign assistance, alliances, and technology transfer”, Chinese Power and Artificial Intelligence (1 ed.), London: Routledge, pp. 36-54, doi:10.4324/ 9781003212980-4, ISBN 978-1-003-21298-0
^ a b c He, Yujia (2017 ). How China is getting ready for an AI-powered Future (PDF). Woodrow Wilson International Center for Scholars. Archived (PDF) from the initial on 2021-02-15. Retrieved 2020-04-30.
^ a b c d e Luong, Ngor; Fedasiuk, Ryan (2022-06-22), “State plans, research study, and financing”, Chinese Power and Artificial Intelligence (1 ed.), London: Routledge, pp. 3-18, doi:10.4324/ 9781003212980-2, ISBN 978-1-003-21298-0
^ a b c d e f g Kania, Elsa B. (November 28, 2017). Battlefield Singularity: Expert System, Military Revolution, and China’s Future Military Power. Washington D.C: Center for a New American Security. OCLC 1029611044. Archived from the original on January 14, 2024. Retrieved February 16, 2024.
^ Allen, Gregory (11 October 2022). “Choking off China’s Access to the Future of AI”. Center for Strategic and International Studies. Archived from the initial on 12 October 2022. Retrieved 12 October 2022.
^ Allen, Gregory C.; Benson, Emily (2023-03-01). “Clues to the U.S.-Dutch-Japanese Semiconductor Export Controls Deal Are Hiding in Plain Sight”. Center for Strategic and International Studies. Archived from the original on 2023-03-03. Retrieved 2023-03-03.
^ a b Zhang, Daqiu; Lin, Yujie (2024-07-02). “生成中国式AI ： 审查之外 ， 科技公司的烦恼清单” [Building a Chinese AI: Beyond censorship, tech companies’ list of concerns] Initium Media (in Simplified Chinese). Archived from the initial on 2024-07-11. Retrieved 2024-07-11.
^ a b c d e Lin, Liza (July 15, 2024). “China Puts Power of State Behind AI-and Risks Strangling It”. The Wall Street Journal. Archived from the original on July 16, 2024. Retrieved July 16, 2024.
^ a b c d 蔡自兴 (13 August 2016). “中国人工智能40 年”. 科技导报 (in Chinese). 34 (15 ): 12-32. doi:10.3981/ j.issn.1000-7857.2016.15.001 (non-active 1 November 2024). ISSN 1000-7857. Archived from the original on 2022-01-20. Retrieved 2022-02-07. point out journal: CS1 maint: DOI non-active since November 2024 (link).
^ “Introduction to the Chinese Association of Artificial Intelligence”. 中国人工智能学会.
^ Liu, Wei (2023 ), Liu, Wei (ed.), “From Adjustment to Innovation: How China’s Economic Structure Has Been Upgraded”, China’s 40 Years of Reform, Understanding China, Singapore: Springer Nature Singapore, pp. 11-33, doi:10.1007/ 978-981-19-8505-8_2, ISBN 978-981-19-8504-1.
^ a b “人民网 世界人工智能国际联合大会今秋将首次在中国举行– 中国科学院”. www.cas.cn. Archived from the original on 2023-05-04. Retrieved 2023-05-05.
^ “科学网-首届吴文俊人工智能科学技术奖颁奖”. news.sciencenet.cn. Archived from the initial on 2023-05-04. Retrieved 2023-05-05.
^ a b c d e “State Council Notice on the Issuance of the Next Generation Artificial Intelligence Development Plan” (PDF). New America. Archived (PDF) from the original on April 13, 2018. Retrieved April 2, 2018.
^ Laskai, Lorand (29 January 2018). “Civil-Military Fusion: The Missing Link Between China’s Technological and Military Rise”. Council on Foreign Relations. Archived from the original on 18 July 2020. Retrieved 3 June 2020.
^ “中国科学报” 人工智能+” 应上升为国家战略– 中国科学院”. www.cas.cn. Archived from the original on 2023-05-04. Retrieved 2023-05-05.
^ “人民网 强强联合建医疗” 阿尔法狗” 人工智能将问诊肿瘤– 中国科学院”. www.cas.cn. Archived from the initial on 2023-05-04. Retrieved 2023-05-05.
^ a b Milmo, Dan; Hawkins, Amy (2024-05-18). “How China is utilizing AI news anchors to provide its propaganda”. The Guardian. ISSN 0261-3077. Archived from the original on 2024-05-25. Retrieved 2024-05-19.
^ Kuo, Lily (2018-11-09). “World’s first AI news anchor revealed in China”. The Guardian. ISSN 0261-3077. Archived from the initial on 2024-02-20. Retrieved 2024-05-19.
^ Steger, Isabella (2019-02-20). “Chinese state media’s newest development is an AI female news anchor”. Quartz. Archived from the original on 2024-05-19. Retrieved 2024-05-19.
^ a b Cyranoski, David (January 17, 2018). “China enters the fight for AI talent”. Nature. 553 (7688 ): 260-261. Bibcode:2018 Natur.553..260 C. doi:10.1038/ d41586-018-00604-6. PMID 29345655.
^ Liu, Zhiyi; Zheng, Yejie (2022-04-03). “Development paradigm of expert system in China from the point of view of digital economics”. Journal of Chinese Economic and Business Studies. 20 (2 ): 207-217. doi:10.1080/ 14765284.2022.2081485. ISSN 1476-5284. S2CID 249301337.
^ “自动化所研发出跨模态通用人工智能平台” 紫东太初”– 中国科学院”. www.cas.cn. Archived from the initial on 2023-05-04. Retrieved 2023-05-05.
^ “Beijing-funded AI language model tops Google and OpenAI in raw numbers”. South China Morning Post. 2021-06-02. Archived from the original on 2023-11-19. Retrieved 2024-05-21.
^ a b c d e f g h Zhang, Angela Huyue (2024 ). High Wire: How China Regulates Big Tech and Governs Its Economy. Oxford University Press. doi:10.1093/ oso/9780197682258.001.0001. ISBN 9780197682258.
^ Zhang, Laney (April 26, 2023). “China: Provisions on Deep Synthesis Technology Participate In Effect”. Law Library of Congress. Archived from the original on 2024-08-16. Retrieved 2024-08-19.
^ “Huawei unveils Arabic LLM, new data centre in Egypt as part of generative AI push”. South China Morning Post. 2024-05-21. Archived from the initial on 2024-05-25. Retrieved 2024-05-21.
^ a b c d e f g h i j k l m n Bachulska, Alicja; Leonard, Mark; Oertel, Janka (2 July 2024). The Idea of China: Chinese Thinkers on Power, Progress, and People (EPUB). Berlin, Germany: European Council on Foreign Relations. ISBN 978-1-916682-42-9. Archived from the original on 17 July 2024. Retrieved 22 July 2024.
^ Bandurski, David (2024-12-20). “AI for All”. China Media Project. Archived from the initial on 2024-12-20. Retrieved 2024-12-22.
^ Zhuang, Sylvie (21 May 2024). “China rolls out big language design AI based on Xi Jinping Thought”. South China Morning Post. Archived from the initial on 21 May 2024. Retrieved 21 May 2024.
^ “Baidu, SenseTime lead China’s market for business-focused LLMs, says IDC”. South China Morning Post. 2024-08-22. Archived from the original on 2024-08-27. Retrieved 2024-08-24.
^ a b “China’s 4 new ‘AI tigers’ become financier favourites”. South China Morning Post. 2024-04-19. Retrieved 2024-08-24.
^ “China’s AI start-ups race for clients as titans like Alibaba cut costs”. Nikkei Asia. Retrieved 2024-08-24.
^ “Chinese AI companies combat to stand apart from rivals in text-to-video market”. South China Morning Post. 2024-08-08. Retrieved 2024-08-24.
^ a b Allen, Gregory C. (2019 ). Understanding China’s AI Strategy: Clues to Chinese Strategic Thinking on Artificial Intelligence and National Security (Report). Center for a New American Security. JSTOR resrep20446. Archived from the original on 2019-02-07. Retrieved 2019-03-11.
^ Sutter, Karen M. ; Arnold, Zachary (2022-06-22), “China’s AI business: Hybrid players”, Chinese Power and Expert System (1 ed.), London: Routledge, pp. 19-35, doi:10.4324/ 9781003212980-3, ISBN 978-1-003-21298-0
^ Lan, Xiaohuan (2024 ). How China Works: An Intro to China’s State-led Economic Development. Translated by Topp, Gary. Palgrave Macmillan. doi:10.1007/ 978-981-97-0080-6. ISBN 978-981-97-0079-0.
^ a b Ashwin Acharya; Zachary Arnold (December 2019). “Chinese Public AI R&D Spending: Provisional Findings”. Center for Security and Emerging Technology. doi:10.51593/ 20190031. S2CID 242961679. Archived from the initial on 2024-04-10. Retrieved 2024-04-10.
^ Larson, Christina (8 February 2018). China’s massive financial investment in artificial intelligence has an insidious drawback (Report). Science. doi:10.1126/ science.aat2458.
^ a b 21世纪经济报道 (2021-07-10). “解码人工智能” 国家队””. finance.sina.com.cn. Archived from the original on 2023-04-09. Retrieved 2024-02-16. point out web: CS1 maint: numerical names: authors list (link).
^ Tilley, Aaron. “China’s Rise In The Global AI Race Emerges As It Takes Control Of The Final ImageNet Competition”. Forbes. Archived from the initial on 2019-05-28. Retrieved 2020-04-30.
^ “Beijing to Judge Every Resident Based on Behavior by End of 2020”. Bloomberg News. Archived from the initial on 2020-05-16.
^ a b Zhang, Daniel; Mishra, Saurabh; Brynjolfsson, Erik; Etchemendy, John; Ganguli, Deep; Grosz, Barbara; Lyons, Terah; Manyika, James; Niebles, Juan Carlos (2021-03-08), The AI Index 2021 Annual Report, arXiv:2103.06312.
^ Heikkilä, Melissa (June 9, 2021). “Meet Wu Dao 2.0, the Chinese AI design making the West sweat”. Politico. Archived from the original on April 7, 2023. Retrieved April 7, 2023.
^ Ho, C. (October 15, 2024). “PRC Launches First Algorithm Registration Center, Strengthening AI and Data Regulation”. Jamestown Foundation. Retrieved 2024-10-18.
^ Li, David Daokui (2024 ). China’s World View: Demystifying China to Prevent Global Conflict. New York, NY: W. W. Norton & Company. ISBN 978-0393292398.
^ Li, Daitian; Tong, Tony W.; Xiao, Yangao (2021-02-18). “Is China Emerging as the Global Leader in AI?”. Harvard Business Review. ISSN 0017-8012. Archived from the original on 2024-01-20. Retrieved 2024-02-16.
^ Knight, Will (January 24, 2023). “China Is the World’s Biggest Face Recognition Dealer”. Wired. ISSN 1059-1028. Archived from the initial on 2024-02-25. Retrieved 2024-02-25.
^ Bandurski, David (April 14, 2023). “Bringing AI to the Party”. China Media Project. Archived from the original on April 15, 2023. Retrieved April 15, 2023.
^ Liu, Qianer (2023-07-11). “China to set AI rules with emphasis on content control”. Financial Times. Archived from the original on 2024-05-25. Retrieved 2024-05-21.
^ “China is fortifying the fantastic firewall for the AI age”. The Economist. December 26, 2023. ISSN 0013-0613. Archived from the initial on 2023-12-26. Retrieved 2023-12-26.
^ a b McMorrow, Ryan; Hu, Tina (July 17, 2024). “China releases censors to create socialist AI”. Financial Times. Archived from the initial on July 17, 2024. Retrieved July 17, 2024.
^ Colville, Alex (2024-11-27). “The Party in the Machine”. China Media Project. Archived from the initial on 2024-12-02. Retrieved 2024-11-30.
^ Lyngaas, Sean (2023-09-07). “Suspected Chinese operatives using AI created images to spread out disinformation among US citizens, Microsoft says”. CNN. Archived from the original on 2024-04-02. Retrieved 2024-04-08.
^ Milmo, Dan (2024-04-05). “China will utilize AI to disrupt elections in the US, South Korea and India, Microsoft warns”. The Guardian. ISSN 0261-3077. Archived from the original on 2024-05-25. Retrieved 2024-04-08.
^ Farrell, James (April 5, 2024). “China Eying Election Disruption Campaigns-Including With AI, Microsoft Says”. Forbes. Archived from the initial on April 8, 2024. Retrieved April 8, 2024.
^ Field, Matthew; Titcomb, James (27 January 2025). “Chinese AI has sparked a $1 trillion panic – and it doesn’t care about totally free speech”. The Daily Telegraph. ISSN 0307-1235. Retrieved 27 January 2025.
^ Steinschaden, Jakob (27 January 2025). “DeepSeek: This is what live censorship appears like in the Chinese AI chatbot”. Trending Topics. Retrieved 27 January 2025.
^ Lu, Donna (28 January 2025). “We attempted out DeepSeek. It worked well, until we asked it about Tiananmen Square and Taiwan”. The Guardian. ISSN 0261-3077. Retrieved 30 January 2025.
^ “How China Is Using AI to Fuel the Next Industrial Revolution”. Time. Archived from the initial on 2022-02-05. Retrieved 2022-02-04.
^ a b c d “Artificial intelligence: Implications for China”. McKinsey & Company. Archived from the initial on 2024-02-04. Retrieved 2024-02-16.
^ Bresnick, Sam (June 2024). “China’s Military AI Roadblocks”. Center for Security and Emerging Technology. doi:10.51593/ 20230042 (non-active 1 November 2024). Archived from the original on 2024-06-18. Retrieved 2024-06-18. mention web: CS1 maint: DOI inactive as of November 2024 (link).
^ Takagi, Koichiro (November 16, 2022). “Xi Jinping’s Vision for Expert system in the PLA”. The Diplomat. Archived from the initial on February 18, 2024. Retrieved February 17, 2024.
^ a b c d Expert system and National Security (PDF). Washington, DC: Congressional Research Service. 2019. Archived (PDF) from the initial on 2020-05-08. Retrieved 2020-04-30. This article integrates text from this source, which remains in the public domain.
^ Magnuson, Stew (July 13, 2023). “China Pursues Its Own Version of JADC2”. National Defense. Archived from the initial on February 18, 2024. Retrieved February 17, 2024.
^ “China Military Power Report Examines Changes in Beijing’s Strategy”. U.S. Department of Defense. November 29, 2022. Archived from the original on May 25, 2024. Retrieved February 17, 2024.
^ Fedasiuk, Ryan (August 2020). Chinese Perspectives on AI and Future Military Capabilities (Report). Center for Security and Emerging Technology. doi:10.51593/ 20200022.
^ Knight, Will (October 10, 2017). “China’s AI Awakening中国 人工智能 的崛起”. MIT Technology Review. Archived from the original on 2020-05-13. Retrieved 2020-04-30.
^ Mozur, Paul; Markoff, John (2017-05-27). “Is China Outsmarting America in A.I.?”. The New York Times. ISSN 0362-4331. Archived from the initial on 2020-04-07. Retrieved 2020-04-30.
^ Brown, Michael; Singh, Pavneet (2018 ). China’s Technology Transfer Strategy: How Chinese Investments in Emerging Technology Enable A Strategic Competitor to Access the Crown Jewels of U.S. Innovation (PDF). Defense Innovation Unit Experimental. p. 29. Archived (PDF) from the original on 2020-04-12. Retrieved 2020-04-30.
^ a b Kan, Michael (September 15, 2022). “Biden Curbs China’s Investment in US Tech Firms With New Executive Order”. PC Magazine. Archived from the original on February 20, 2024. Retrieved February 19, 2024.
^ a b Sanger, David E. (2022-09-15). “Biden Issues New Order to Block Chinese Investment in Technology in the U.S.” The New York City Times. ISSN 0362-4331. Archived from the initial on 2024-02-20. Retrieved 2024-02-20.
^ Cheung, Sunny (October 31, 2024). “PRC Adapts Meta’s Llama for Military and Security AI Applications”. Jamestown Foundation. Archived from the initial on 2024-11-02. Retrieved 2024-11-03.
^ Pomfret, James; Pang, Jessie (November 1, 2024). “Chinese researchers develop AI design for military use on back of Meta’s Llama”. Reuters. Retrieved November 1, 2024.
^ “Which countries and universities are leading on AI research?”. Times Higher Education. 2017-05-22. Archived from the initial on 2020-03-02. Retrieved 2020-04-30.
^ “China’s brightest kids recruited to establish AI ‘killer bots'”. South China Morning Post. 2018-11-08. Archived from the original on 2020-01-09. Retrieved 2020-04-30.
^ a b “China has become a scientific superpower”. The Economist. ISSN 0013-0613. Archived from the initial on 2024-09-26. Retrieved 2024-09-27.
^ a b “Chinese AI has brand-new ethical standards that curb Big Tech’s algorithms”. South China Morning Post. 2021-10-03. Archived from the original on 2022-02-03. Retrieved 2022-02-04.
^ Wu, Wenjun; Huang, Tiejun; Gong, Ke (March 2020). “Ethical Principles and Governance Technology Development of AI in China”. Engineering. 6 (3 ): 302-309. Bibcode:2020 Engin … 6..302 W. doi:10.1016/ j.eng.2019.12.015.
^ “Translation: Cybersecurity Law of individuals’s Republic of China (Effective June 1, 2017)”. DigiChina. Archived from the initial on 2022-02-04. Retrieved 2022-02-04.
^ a b Horwitz, Josh (2021-08-27). “China’s coming data laws leave firms with more concerns than responses”. Reuters. Archived from the initial on 2022-02-04. Retrieved 2022-02-04.
^ a b Šimalčík, Matej (2023 ). “Rule by Law”. In Kironska, Kristina; Turscanyi, Richard Q. (eds.). Contemporary China: a New Superpower?. Routledge. pp. 114-127. doi:10.4324/ 9781003350064-12. ISBN 978-1-03-239508-1.
^ Zhabina, Alena (January 20, 2023). “How China’s AI is automating the legal system”. Deutsche Welle. Archived from the initial on March 29, 2024. Retrieved May 25, 2024.
^ Chen, Stephen (2022-07-13). “China’s court AI reaches into every corner of justice system: report”. South China Morning Post. Archived from the original on 2024-03-31. Retrieved 2024-05-25. [H] umans will gradually lose complimentary will with an increasing dependency on innovation”, she stated in a paper released in the domestic peer-reviewed journal Law and Social Development on Sunday. The wise court system, constructed with the deep participation of China’s tech giants, would also pass too much power into the hands of a couple of technical experts who wrote the code, established algorithms or monitored the database. “We need to be alert to the disintegration of judicial power by innovation companies and capital,” she added.
^ Papagianneas, Straton; Junius, Nino (November 2023). “Fairness and justice through automation in China’s smart courts”. Computer Law & Security Review. 51: 100-101. doi:10.1016/ j.clsr.2023.105897. hdl:10067/ 2001290151162165141. Archived from the original on 2024-05-26. Retrieved 2024-05-26 – by means of Elsevier Science Direct.
^ Pham, Sherisse (2018 ). “Chinese AI startup dwarfs worldwide competitors with $4.5 billion assessment”. CNN. Archived from the initial on 9 April 2018. Retrieved 10 April 2018.
^ “China ramps up tech education to become synthetic intelligence leader”. NBC News. 4 January 2020. Archived from the original on 2020-01-10. Retrieved 2020-01-10.
^ Cao, Ann (2023-09-07). “Tencent releases Hunyuan foundation AI model for enterprises”. South China Morning Post. Archived from the initial on 2024-06-03. Retrieved 2024-06-03.
^ Olcott, Eleanor (3 May 2024). “4 start-ups lead China’s race to match OpenAI’s ChatGPT”. Financial Times. Archived from the original on 8 September 2024. Retrieved 27 October 2024.
^ a b c Zeng, Jinghan (2021-09-16). “Securitization of Artificial Intelligence in China”. The Chinese Journal of International Politics. 14 (3 ): 417-445. doi:10.1093/ cjip/poab005. ISSN 1750-8916.
^ Knight, Will (October 10, 2017). “China’s AI Awakening”. MIT Technology Review. Archived from the initial on March 24, 2018. Retrieved April 3, 2018.
^ Guest, Peter (November 29, 2024). “Inside the AI back-channel in between China and the West”. The Economist. ISSN 0013-0613. Retrieved 2024-12-08.
^ Corvino, Nick; Li, Boshen (August 23, 2024). “Survey: How Do Elite Chinese Students Feel About the Risks of AI?”. Jamestown Foundation. Archived from the original on 2024-08-24. Retrieved 2024-08-23.
^ Beraja, Martin; Kao, Andrew; Yang, David Y; Yuchtman, Noam (2023-06-23). “AI-tocracy”. The Quarterly Journal of Economics. 138 (3 ): 1349-1402. doi:10.1093/ qje/qjad012. ISSN 0033-5533.
^ Mozur, Paul (2019-04-14). “One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority”. The New York Times. ISSN 0362-4331. Archived from the original on 2019-06-08. Retrieved 2024-02-25.
^ Sahin, Kaan (December 18, 2020). “The West, China, and AI monitoring”. Atlantic Council. Archived from the original on February 26, 2024. Retrieved February 25, 2024.
^ “Autocracy and AI Innovation”. Stanford University Center on China’s Economy and Institutions. Stanford University. July 1, 2022. Archived from the original on February 26, 2024. Retrieved February 25, 2024.
^ “China’s AI-Tocracy Quells Protests and Boosts AI Innovation”. IEEE Spectrum. Archived from the initial on 2024-02-26. Retrieved 2024-02-26.
Further reading

Hannas, William C.; Chang, Huey-Meei, eds. (29 July 2022). Chinese Power and Expert System: Perspectives and Challenges (1st ed.). London: Routledge.