Expert System Industry In China

The synthetic intelligence market in individuals’s Republic of China is a rapidly establishing multi-billion dollar industry. The roots of China’s AI advancement started in the late 1970s following Deng Xiaoping’s economic reforms emphasizing science and technology as the nation’s primary productive force.

The initial phases of China’s AI development were sluggish and encountered significant obstacles due to absence of resources and skill. At the beginning China was behind the majority of Western nations in terms of AI advancement. A bulk of the research was led by scientists who had actually received college abroad. [1]

Since 2006, the government of individuals’s Republic of China has progressively developed a national agenda for synthetic intelligence advancement and emerged as among the leading countries in artificial intelligence research and development. [2] In 2016, the Chinese Communist Party (CCP) launched its thirteenth five-year strategy in which it aimed to become a worldwide AI leader by 2030. [3]

The State Council has a list of “nationwide AI teams” consisting of fifteen China-based business, consisting of Baidu, Tencent, Alibaba, SenseTime, and iFlytek. [citation required] Each business ought to lead the development of a designated specialized AI sector in China, such as facial acknowledgment, software/hardware, and speech acknowledgment. China’s rapid AI advancement has considerably affected Chinese society in numerous areas, consisting of the socio-economic, military, and political spheres. Agriculture, transportation, accommodation and food services, and production are the leading markets that would be the most affected by more AI implementation.

The private sector, university laboratories, and the military are working collaboratively in lots of aspects as there are couple of current existing limits. [4] In 2021, China released the Data Security Law of individuals’s Republic of China, its first nationwide law addressing AI-related ethical concerns. In October 2022, the United States federal government revealed a series of export controls and trade constraints meant to limit China’s access to advanced computer system chips for AI applications. [5] [6]

Concerns have been raised about the results of the Chinese government’s censorship routine on the advancement of generative synthetic intelligence and talent acquisition with state of the nation’s demographics. [7] [8]

History

The research and development of expert system in China started in the 1980s, with the statement by Deng Xiaoping of the significance of science and innovation for China’s financial growth. [3]

Late 1970s to early 2010s

Expert system research study and development did not begin until the late 1970s after Deng Xiaoping’s economic reforms. [3] While there was a lack of AI-related research between the 1950s and 1960s, some scholars think this is because of the influence of cybernetics from the Soviet Union despite the Sino-Soviet split throughout the late 1950s and early 1960s. [9] In the 1980s, a group of Chinese researchers introduced AI research led by Qian Xuesen and Wu Wenjun. [9] However, during the time, China’s society still had an usually conservative view towards AI. [9] Early AI development in China was difficult so China’s government approached these obstacles by sending out Chinese scholars overseas to study AI and further supplying federal government funds for research study jobs. The Chinese Association for Artificial Intelligence (CAAI) was established in September 1981 and was licensed by the Ministry of Civil Affairs. [10] The very first chairman of the executive committee was Qin Yuanxun, who got a PhD in approach from Harvard University. [citation needed] In 1987, China’s first research study publication on artificial intelligence was released by Tsinghua University. Beginning in 1993, smart automation and intelligence have actually become part of China’s national innovation plan. [9]

Since the 2000s, the Chinese government has further broadened its research study and advancement funds for AI and the number of government-sponsored research jobs has actually drastically increased. [3] In 2006, China revealed a policy top priority 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, expert system was likewise discussed in the eleventh five-year plan. [11]

In 2011, the Association for the Advancement of Expert System (AAAI) developed a branch in Beijing, China. [12] At exact same year, the Wu Wenjun Artificial Intelligence Science and Technology Award was founded in honor of Chinese mathematician Wu Wenjun, and it became the greatest award for Chinese accomplishments in the field of expert system. The first award event was hung on May 14, 2012. [13] In 2013, the International Joint Conferences on Artificial Intelligence (IJCAI) was held in Beijing, marking the very first time the conference was kept in China. This occasion accompanied the Chinese federal government’s announcement of the “Chinese Intelligence Year,” a significant turning point in China’s advancement of expert system. [12]

Late 2010s to early 2020s

The State Council of China released “A Next Generation Expert System 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 synthetic intelligence. Specifically, the plan explained AI as a tactical technology that has actually become a “focus of global competition”. [14]:2 The document urged significant investment in a number of strategic areas associated with AI and called for close cooperation between the state and private sectors. On the event of CCP basic secretary Xi Jinping’s speech at the very 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 financial and military ends is an essential element to being a terrific power. [15] During the Two Sessions 2017,”artificial intelligence plus” was proposed to be elevated to a tactical level. [16] The very same year saw 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 lab in Nanjing, and presented their first AI expertise chip, Cambrian. [citation required]

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

In 2018, the State Council budgeted $2.1 billion for an AI commercial park in Mentougou district. [21] In order to accomplish this the State Council specified the requirement for huge talent acquisition, theoretical and practical advancements, as well as public and personal investments. [14] Some of the stated inspirations that the State Council provided for pursuing its AI method consist of the capacity of synthetic intelligence for industrial transformation, much better social governance and maintaining social stability. [14] Since the end of 2020, Shanghai’s Pudong District had 600 AI companies across fundamental, technical, and application layers, with related industries valued at around 91 billion yuan. [22]

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

The Beijing Academy of Artificial Intelligence launched China’s very first big scale pre-trained language model in 2022. [24] [25]:283

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

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

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

Also in October 2023, the Chinese federal government launched its Global AI Governance Initiative, which frames its AI policy as part of a Community of Common Destiny and aims to develop AI policy discussion with establishing nations. [29] [28]:93 The Initiative has expressed concern over AI safety risks, including abuse of information or making use of AI by terrorists. [28]:93

In 2024, Spamouflage, an online disinformation and propaganda campaign of the Ministry of Public Security, started using news anchors developed with generative expert system to provide fake news clips. [18]

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

In May 2024, the Cyberspace Administration of China revealed that it rolled out a big 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 biggest LLM market show 19.9 percent and US$ 49 million in profits over the last year. This was followed by SenseTime, with 16 percent market share, and by Zhipu AI, as the third largest. The 4th and 5th biggest 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 designs had actually been approved by the Chinese federal government. [33]

Since 2024, lots of Chinese innovation firms such as Zhipu AI and Bytedance have released 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 Infotech

Government objectives

According to a February 2019 publication by the Center for a Brand-new American Security, CCP basic secretary Xi Jinping – believes that being at the leading edge of AI innovation will be critical to the future of global military and financial power competitors. [35] By 2025, the State Council intends for China to make basic contributions to standard AI theory and to strengthen its place as a worldwide leader in AI research. Further, the State Council goes for AI to become “the main driving force for China’s commercial updating and financial transformation” by this time. [14] By 2030, the State Council intends to have China be the worldwide leader in the advancement of expert system theory and innovation. The State Council declares that China will have developed a “fully grown new-generation AI theory and innovation system.” [14]

According to academics Karen M. Sutter and Zachary Arnold, the Chinese government “seeks to combine state planning and control while some operational flexibility for firms. In this context, China’s AI firms are hybrid players. The state guides their activity, funds, and guards them from foreign competitors through domestic market defenses, producing uneven benefits as they broaden offshore.” [36]

The CCP’s fourteenth five-year plan reaffirmed AI as a top research priority and ranks AI first amongst “frontier industries” that the Chinese federal government aims to focus on through 2035. [3] The AI industry is a strategic sector often supported by China’s federal government assistance funds. [37]:167

Research and advancement

Chinese public AI funding mainly concentrated on advanced and applied research study. [38] The government funding also supported several AI R&D in the economic sector through equity capital that are backed by the state. [38] Much analytic company research study showed that, while China is enormously investing in all aspects of AI advancement, facial acknowledgment, biotechnology, quantum computing, medical intelligence, and autonomous automobiles are AI sectors with the most attention and funding. [39]

According to national guidance on developing China’s high-tech industrial development zones by the Ministry of Science and Technology, there are fourteen cities and one county picked as an experimental development zone. [40] Zhejiang and Guangdong provinces have the most AI development in experimental locations. However, the focus of AI R&D differed depending on cities and local industrial development and environment. For instance, Suzhou, a city with a longstanding strong production industry, greatly focuses on automation and AI facilities while Wuhan focuses more on AI applications and the education sector. [40] In connection with universities, tech companies, and national ministries, Shenzhen and Hangzhou each co-founded generative AI laboratories. [25]:282

In 2016 and 2017, Chinese groups won the top reward at the Large Scale Visual Recognition Challenge, an international competition for computer system vision systems. [41] Many of these systems are now being incorporated into China’s domestic security network. [42]

Interdisciplinary cooperations play a necessary function in China’s AI R&D, including academic-corporate collaboration, public-private collaborations, and worldwide collaborations and jobs with corporate-government partnerships are the most common. [1] China ranked in the leading 3 worldwide following the United States and the European Union for the total number of peer-reviewed AI publications that are produced under a corporate-academic collaboration between 2015 and 2019. [43] Besides, according to an AI index report, China went beyond the U.S. in 2020 in the total variety of worldwide AI-related journal citations. [43] In terms of AI-related R&D, China-based peer-reviewed AI papers are mainly sponsored by the government. In May 2021, China’s Beijing Academy of Artificial Intelligence released the world’s largest pre-trained language design (WuDao). [44]

Since 2023, 47% of the world’s leading AI scientists had actually finished their undergraduate research studies in China. [28]:101

According to academic Angela Huyue Zhang, publishing in 2024, while the Chinese government has actually been proactive in managing AI services and imposing responsibilities on AI companies, the general method to its guideline is loose and demonstrates a pro-growth policy beneficial to China’s AI industry. [28]:96 In July 2024, the federal government opened its first algorithm registration center in Beijing. [45]

Population

China’s big population produces a massive quantity of accessible information for business and researchers, which provides an important benefit in the race of big information. As of 2024 [update], China has the world’s largest number of web users, producing huge amounts of information for device learning and AI applications. [46]:18

Facial acknowledgment

Facial acknowledgment is among the most commonly used AI applications in China. Collecting these big amounts of information from its locals assists further train and broaden AI capabilities. China’s market is not only conducive and important for corporations to further AI R&D but also offers significant financial potential attracting both global and domestic firms to join the AI market. The extreme development of the info and interaction innovation (ICT) market and AI chipsets recently are 2 examples of this. [47] China has ended up being the world’s largest exporter of facial recognition 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 steps specifying that tech companies will be obligated to guarantee AI-generated content promotes the ideology of the CCP including Core Socialist Values, avoids discrimination, appreciates intellectual residential or commercial property rights, and safeguards user information. [50] [25]:278 Under these draft procedures, companies bear legal duty for training information and content generated through their platforms. [25]:278 In October 2023, the Chinese federal government mandated that generative synthetic intelligence-produced content may not “incite subversion of state power or the overthrowing of the socialist system.” [51] Before launching a large language model to the public, companies need to seek approval from the CAC to certify that the model declines to respond to particular questions associating with political ideology and criticism of the CCP. [8] [52] Questions related to politically sensitive topics such as the 1989 Tiananmen Square protests and massacre or contrasts between Xi Jinping and Winnie the Pooh need to be declined. [52]

In 2023, in-country access was blocked to Hugging Face, a company that preserves libraries consisting of training data sets typically utilized for large language models. [8] A subsidiary of the People’s Daily, the official newspaper of the Central Committee of the Chinese Communist Party, offers regional business with training information that CCP leaders consider allowable. [8] In 2024, the People’s Daily released a LLM-based tool called Easy Write. [53]

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

The Chinese artificial intelligence design DeepSeek has been reported to refuse to respond to questions connecting to aspects of the 1989 Tiananmen Square demonstrations and massacre, persecution of Uyghurs, contrasts in between Xi Jinping and Winnie the Pooh or human rights in China. [57] [58] [59]

Impact

Economic effect

Most firms [who?] hold optimistic views about AI‘s financial effect on China’s long-term economic development. In the past, conventional industries in China have actually struggled with the increase in labor expenses due to the growing aging population in China and the low birth rate. With the deployment of AI, operational expenses are expected to minimize while an increase in performance creates profits development. [60] Some highlight the importance of a clear policy and governmental assistance in order to get rid of adoption barriers consisting of costs and absence of effectively trained technical talents and AI awareness. [61] However, there are issues about China’s deepening earnings inequality and the ever-expanding imbalanced labor market in China. Low- and medium-income employees might be the most adversely affected by China’s AI advancement because of rising needs for laborers with . [61] Furthermore, China’s financial growth might be disproportionately divided as a majority of AI-related commercial advancement is concentrated in seaside areas rather than inland. [61]

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

Military impact

China looks for to develop a “first-rate” military by “intelligentization” with a specific concentrate on making use of unmanned weapons and expert system. [62] [63] It is researching numerous kinds of air, land, sea, and undersea autonomous cars. In the spring of 2017, a civilian Chinese university with ties to the military showed an AI-enabled swarm of 1,000 unoccupied aerial vehicles at an airshow. A media report launched afterwards showed a computer simulation of a comparable swarm formation finding and damaging a missile launcher. [4]:23 Open-source publications showed that China is likewise developing a suite of AI tools for cyber operations. [64] [4]:27 Chinese advancement of military AI is largely influenced by China’s observation of U.S. prepare for defense innovation and worries of a broadening “generational space” in comparison to the U.S. armed force. Similar to U.S. military concepts, China intends to utilize AI for making use of big chests of intelligence, producing a typical operating photo, and speeding up battlefield decision-making. [64] [4]:12 -14 The Chinese Multi-Domain Precision Warfare (MDPW) is considered China’s response to the U.S. Joint All-Domain Command and Control (JADC2) strategy, which looks for to incorporate sensors and weapons with AI and an energetic network. [65] [66]

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

China’s management of its AI ecosystem contrasts with that of the United States. [4]:6 In basic, few limits exist between Chinese business companies, university lab, the military, and the central government. As an outcome, the Chinese government has a direct methods of guiding AI advancement concerns and accessing technology that was ostensibly established for civilian functions. To even more enhance these ties the Chinese federal government developed a Military-Civil Fusion Development Commission which is meant to speed the transfer of AI technology from industrial companies and research organizations to the military in January 2017. [2] [4]:19 In addition, the Chinese federal government is leveraging both lower barriers to information collection and lower expenses of data identifying to create the big databases on which AI systems train. [68] According to one price quote, China is on track to possess 20% of the world’s share of information by 2020, with the prospective to have more than 30% by 2030. [64] [4]:12

China’s centrally directed effort is investing in the U.S. AI market, in companies working on militarily appropriate AI applications, potentially approving it legal access to U.S. technology and copyright. [69] Chinese equity capital financial investment in U.S. AI companies between 2010 and 2017 amounted to an approximated $1.3 billion. [70] [64] In September 2022, the U.S. Biden administration released an executive order to avoid foreign financial investments, “particularly those from competitor or adversarial nations,” from purchasing U.S. technology firms, due to U.S. national security concerns. [71] [72] The order covers fields of U.S. innovations in which Chinese government has been investing, including “microelectronics, expert system, biotechnology and biomanufacturing, quantum computing, [and] advanced clean energy.” [71] [72]

In 2024, scientists from individuals’s Liberation Army Academy of Military Sciences were reported to have actually established a military tool using 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 first scholastic course on AI which led other Chinese universities to adopt AI as a discipline, specifically considering that China deals with challenges in recruiting and keeping AI engineers and scientists. [21] Over half of the data scientists in the United States have been operating in the field for over ten years, while approximately the same percentage of data scientists in China have less than 5 years of experience. As of 2017, less than 30 Chinese Universities produce AI-focused specialists and research study items. [61]:8 Although China went beyond the United States in the number of research study documents produced from 2011 to 2015, the quality of its released papers, as evaluated by peer citations, ranked 34th worldwide. [75] China specifically wish to address military applications therefore the Beijing Institute of Technology, one of China’s premier institutes for weapons research study, recently established the very first kids’s curriculum in military AI on the planet. [76]

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

Ethical concerns

For the past years, there are conversations about AI security and ethical concerns in both personal and public sectors. In 2021, China’s Ministry of Science and Technology released the first national ethical guideline, ‘the New Generation of Artificial Intelligence Ethics Code’ on the topic of AI with particular focus on user defense, data personal privacy, and security. [78] This document acknowledges the power of AI and fast technology adaptation by the big corporations for user engagements. The South China Morning Post reported that people will remain in full decision-making power and rights to opt-in/-out. [78] Before this, the Beijing Academy of Artificial Intelligence released the Beijing AI concepts requiring essential needs in long-term research and preparation of AI ethical principles. [79]

Data security has been the most typical topic in AI ethical conversation worldwide, and numerous national governments have established legislation addressing information personal privacy and security. The Cybersecurity Law of individuals’s Republic of China was enacted in 2017 intending to deal with brand-new obstacles raised by AI advancement. [80] [original research?] In 2021, China’s brand-new Data Security Law (DSL) was passed by the PRC congress, setting up a regulative structure categorizing all kinds of information collection and storage in China. [81] This suggests all tech companies in China are required to classify their information into classifications noted in Digital Subscriber Line (DSL) and follow specific standards on how to govern and manage data transfers to other parties. [81]

Judicial system

In 2019, the city of Hangzhou established a pilot program synthetic intelligence-based Internet Court to adjudicate disputes connected to ecommerce and internet-related intellectual residential or commercial property claims. [82]:124 Parties appear before the court through videoconference and AI evaluates the proof presented and uses appropriate legal requirements. [82]:124

Because some questionable cases that drew public criticism for their low punishments have been withdrawn from China Judgments Online, there are issues about whether AI based on fragmented judicial data can reach impartial choices. [83] Zhang Linghan, teacher of law at the China University of Government and Law, composes that AI-technology companies might erode judicial power. [84] Some scholars argued that “increasing party leadership, political oversight, and reducing the discretionary space of judges are deliberate objectives of SCR [clever court reform]” [85]

Leading companies

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

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

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

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

Assessment

Academic Jinghan Zeng argued the Chinese government’s dedication to worldwide AI management and technological competition was driven by its previous underperformance in development which was seen by the CCP as a part of the century of humiliation. [90] According to Zeng, there are traditionally ingrained causes of China’s stress and anxiety towards protecting an international technological dominance – China missed both commercial transformations, the one beginning in Britain in the mid-18th century, and the one that stemmed in America in the late-19th century. [90] Therefore, China’s federal government desires to make the most of the technological revolution in today’s world led by digital technology consisting of AI to resume China’s “rightful” place and to pursue the nationwide renewal proposed by Xi Jinping. [90]

A post released by the Center for a Brand-new American Security concluded that “Chinese government authorities demonstrated remarkably keen understanding of the issues surrounding AI and international security. This includes knowledge of the U.S. AI policy discussions,” and advised that “the U.S. policymaking neighborhood to similarly focus on cultivating knowledge and understanding of AI developments in China” and “funding, focus, and a determination among U.S. policymakers to drive massive essential modification.” [35] A post in the MIT Technology Review similarly concluded: “China may have unparalleled resources and enormous untapped capacity, however the West has world-leading expertise and a strong research study culture. Rather than fret about China’s development, it would be sensible for Western nations to focus on their existing strengths, investing greatly in research study and education. ” [91]

The Chinese federal government’s censorship routine has stunted the advancement 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 wrote that the advancement of AI produces challenges for holistic national security, consisting of the threats that AI will heighten social stress or have destabilizing impacts on worldwide relations. [28]:49

Writing from a Chinese Marxist view, academics including Gao Qiqi and Pan Enrong compete that capitalist application of AI will cause higher oppression of workers and more serious social problems. [28]:90 Gao cites 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 less financial stars. [28]:90 According to Gao, the state should be the main responsible star in the area of generative AI (developing brand-new material like music or video). [28]:92 Gao composes that military use of AI dangers intensifying military competition between nations and that the effect of AI in military matters will not be restricted to one country however will have spillover effects. [28]:91

Dialogues between Chinese and Western AI experts about the existential threat from expert system have occurred. [92]

Public ballot

The Chinese public is usually positive concerning AI. [25]:283 [28]:101 A 2021 study performed throughout 28 nations found that 78% of the Chinese public thinks the benefits of AI surpass the dangers, the highest of any country in the study. [25]:283 In 2024, a survey of elite Chinese university students discovered that 80% concurred or highly concurred that AI will do more great than damage for society, and 31% believed it must be regulated by the federal government. [93]

Human rights

The widely used AI facial recognition has actually raised concerns. [94] According to The New York City Times, deployment of AI facial acknowledgment innovation in the Xinjiang area to find Uyghurs is “the very first recognized example of a federal government purposefully using expert system for racial profiling,” [95] which is said to be “one of the most striking examples of digital authoritarianism.” [96] Researchers have actually discovered that in China, areas experiencing higher rates of unrest are associated with increased state acquisition of AI facial acknowledgment technology, particularly by regional municipal authorities departments. [97] [98]

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

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Further reading

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