Trustmarmoles

Overview

  • Sectors Agriculture

Company Description

Artificial Intelligence Industry In China

The expert system market in the People’s Republic of China is a quickly establishing 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 innovation as the country’s main productive force.

The preliminary stages of China’s AI advancement were sluggish and came across significant challenges due to absence of resources and talent. At the beginning China lagged many in terms of AI development. A bulk of the research study was led by researchers who had received higher education abroad. [1]

Since 2006, the federal government of the People’s Republic of China has actually gradually developed a nationwide agenda for artificial intelligence development and became one of the leading countries in artificial intelligence research study and development. [2] In 2016, the Chinese Communist Party (CCP) launched its thirteenth five-year strategy in which it aimed to end up being an international AI leader by 2030. [3]

The State Council has a list of “national AI groups” including fifteen China-based business, including Baidu, Tencent, Alibaba, SenseTime, and iFlytek. [citation required] Each business needs to lead the development of a designated specialized AI sector in China, such as facial recognition, software/hardware, and speech recognition. China’s quick AI development has actually substantially impacted Chinese society in numerous locations, including the socio-economic, military, and political spheres. Agriculture, transportation, lodging and food services, and manufacturing are the leading industries that would be the most affected by more AI implementation.

The private sector, university laboratories, and the armed force 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 dealing with AI-related ethical concerns. In October 2022, the United States federal government announced a series of export controls and trade limitations planned to limit China’s access to sophisticated computer chips for AI applications. [5] [6]

Concerns have actually been raised about the effects of the Chinese federal government’s censorship program on the advancement of generative synthetic intelligence and talent acquisition with state of the country’s demographics. [7] [8]

History

The research study and development of expert system in China began in the 1980s, with the statement by Deng Xiaoping of the value of science and technology for China’s economic development. [3]

Late 1970s to early 2010s

Expert system research study and advancement did not start till the late 1970s after Deng Xiaoping’s financial reforms. [3] While there was a lack of AI-related research study between the 1950s and 1960s, some scholars think this is because of the influence of cybernetics from the Soviet Union in spite of the Sino-Soviet split throughout the late 1950s and early 1960s. [9] In the 1980s, a group of Chinese scientists introduced AI research study led by Qian Xuesen and Wu Wenjun. [9] However, during the time, China’s society still had a normally conservative view towards AI. [9] Early AI advancement in China was difficult so China’s government approached these obstacles by sending Chinese scholars overseas to study AI and more offering government funds for research study jobs. The Chinese Association for Expert System (CAAI) was founded in September 1981 and was licensed 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 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 become part of China’s national technology plan. [9]

Since the 2000s, the Chinese federal government has actually even more expanded its research study and development funds for AI and the number of government-sponsored research study jobs has significantly increased. [3] In 2006, China announced a policy priority for the advancement of expert system, 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 very same year, artificial intelligence was likewise pointed out in the eleventh five-year plan. [11]

In 2011, the Association for the Advancement of Expert System (AAAI) established a branch in Beijing, China. [12] At exact same year, the Wu Wenjun Expert System Science and Technology Award was founded in honor of Chinese mathematician Wu Wenjun, and it ended up being the greatest award for Chinese accomplishments in the field of expert system. The first award ceremony was held on May 14, 2012. [13] In 2013, the International Joint Conferences on Expert System (IJCAI) was held in Beijing, marking the very first time the conference was held in China. This occasion accompanied the Chinese government’s announcement of the “Chinese Intelligence Year,” a considerable milestone in China’s advancement of expert system. [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 urged governing bodies in China to promote the advancement of expert system. Specifically, the plan described AI as a tactical technology that has become a “focus of international competitors”. [14]:2 The file urged considerable investment in a number of tactical areas connected to AI and required close cooperation between the state and private sectors. On the event of CCP basic secretary Xi Jinping’s speech at the first plenary conference of the Central Military-Civil Fusion Development Committee (CMCFDC), scholars from the National Defense University wrote in the PLA Daily that the “transferability of social resources” between financial and military ends is an essential element to being a great power. [15] During the Two Sessions 2017,”expert system plus” was proposed to be elevated to a tactical level. [16] The exact same year experienced the emergence of numerous application-level usages in the medical field according to reports. [17] Furthermore, the Chinese Academy of Sciences (CAS) established their AI processor chip research study laboratory in Nanjing, and presented their first AI expertise chip, Cambrian. [citation needed]

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

In 2018, the State Council allocated $2.1 billion for an AI commercial park in Mentougou district. [21] In order to accomplish this the State Council mentioned the need 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 method include the capacity of artificial intelligence for commercial improvement, much better social governance and maintaining social stability. [14] Since the end of 2020, Shanghai’s Pudong District had 600 AI business throughout foundational, technical, and application layers, with related markets valued at around 91 billion yuan. [22]

In 2019, the application of artificial intelligence expanded to different fields such as quantum physics, location, and medical research. With the emergence of large language designs (LLMs), at the start of 2020, Chinese researchers started establishing their own LLMs. One such example is the multimodal large model called ‘Zidongtaichu.’ [23]

The Beijing Academy of Artificial Intelligence introduced China’s very first large scale pre-trained language design 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 jointly released the regulations concerning deepfakes, which became reliable in January 2023. [26]

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

In July 2023, China launched its Interim Measures for the Administration of Generative Expert System Services. [28]:96 A draft proposal on standard generative AI services security requirements, consisting of requirements for information collection and model training was released in October 2023. [28]:96

Also in October 2023, the Chinese federal government released its Global AI Governance Initiative, which frames its AI policy as part of a Community of Common Destiny and aims to build AI policy discussion with establishing countries. [29] [28]:93 The Initiative has revealed concern over AI safety threats, including abuse of data or using AI by terrorists. [28]:93

In 2024, Spamouflage, an online disinformation and propaganda campaign of the Ministry of Public Security, began using news anchors created with generative synthetic intelligence to provide phony news clips. [18]

In March 2024, Premier Li Qiang launched the AI+ Initiative, which means 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 model 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 revenue over the in 2015. This was followed by SenseTime, with 16 percent market share, and by Zhipu AI, as the third biggest. The 4th and fifth largest were Baichuan and the Hong-Kong noted AI business 4Paradigm respectively. [31] Baichuan, Zhipu AI, Moonshot AI and MiniMax were praised by investors as China’s new “AI Tigers”. [32] In April 2024, 117 generative AI models had actually been approved by the Chinese government. [33]

As of 2024, numerous Chinese technology firms such as Zhipu AI and Bytedance have actually introduced AI video-generation tools to rival OpenAI’s Sora. [34]

Chronology of significant AI-related policies

Ministry of Science and Technology; Ministry of Industry and Infotech; 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 Brand-new American Security, CCP basic secretary Xi Jinping – believes that being at the leading edge of AI technology will be critical to the future of worldwide military and financial power competition. [35] By 2025, the State Council goes for China to make essential contributions to standard AI theory and to solidify its location as an international leader in AI research study. Further, the State Council goes for AI to end up being “the main driving force for China’s commercial upgrading and financial change” by this time. [14] By 2030, the State Council aims to have China be the global leader in the advancement of synthetic intelligence theory and technology. The State Council claims that China will have developed a “mature new-generation AI theory and innovation system.” [14]

According to academics Karen M. Sutter and Zachary Arnold, the Chinese federal government “looks for to blend state planning and control while some functional 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 securities, developing uneven benefits as they expand offshore.” [36]

The CCP’s fourteenth five-year strategy declared AI as a top research study concern and ranks AI first among “frontier industries” that the Chinese government intends to concentrate on through 2035. [3] The AI market is a strategic sector often supported by China’s government guidance funds. [37]:167

Research and development

Chinese public AI financing mainly focused on advanced 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 firm research study revealed 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 financing. [39]

According to national guidance on establishing China’s modern commercial advancement zones by the Ministry of Science and Technology, there are fourteen cities and one county selected as an experimental development zone. [40] Zhejiang and Guangdong provinces have the most AI innovation in experimental locations. However, the focus of AI R&D differed depending on cities and regional industrial advancement and environment. For example, Suzhou, a city with a longstanding strong manufacturing market, heavily focuses on automation and AI infrastructure while Wuhan focuses more on AI implementations and the education sector. [40] In connection with universities, tech firms, and national ministries, Shenzhen and Hangzhou each co-founded generative AI laboratories. [25]:282

In 2016 and 2017, Chinese teams won the leading reward at the Large Scale Visual Recognition Challenge, an international competitors for computer vision systems. [41] A lot of these systems are now being integrated into China’s domestic security network. [42]

Interdisciplinary collaborations play a necessary role in China’s AI R&D, consisting of academic-corporate collaboration, public-private cooperations, and global cooperations and tasks with corporate-government collaborations are the most typical. [1] China ranked in the leading three 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 in between 2015 and 2019. [43] Besides, according to an AI index report, China went beyond the U.S. in 2020 in the total number of worldwide AI-related journal citations. [43] In terms of AI-related R&D, China-based peer-reviewed AI papers are primarily sponsored by the government. In May 2021, China’s Beijing Academy of Expert system launched the world’s biggest pre-trained language design (WuDao). [44]

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

According to academic Angela Huyue Zhang, publishing in 2024, while the Chinese government has been proactive in regulating AI services and imposing commitments on AI business, the overall approach to its policy is loose and shows a pro-growth policy favorable to China’s AI industry. [28]:96 In July 2024, the federal government opened its very first algorithm registration center in Beijing. [45]

Population

China’s large population creates an enormous quantity of accessible information for companies and scientists, which provides an essential benefit in the race of big data. Since 2024 [upgrade], China has the world’s biggest variety of web users, generating substantial quantities of data for artificial intelligence and AI applications. [46]:18

Facial recognition

Facial acknowledgment is among the most extensively used AI applications in China. Collecting these large amounts of data from its locals assists more train and broaden AI abilities. China’s market is not only favorable and important for corporations to further AI R&D but also offers incredible economic possible bring in both international and domestic firms to join the AI market. The drastic advancement of the info and interaction innovation (ICT) industry and AI chipsets over the last few years are 2 examples of this. [47] China has become 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) provided draft measures stating that tech business will be obliged to guarantee AI-generated content promotes 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 steps, business bear legal responsibility for training information and content created through their platforms. [25]:278 In October 2023, the Chinese government mandated that generative artificial intelligence-produced content might not “incite subversion of state power or the overthrowing of the socialist system.” [51] Before launching a large language design to the public, business should look for approval from the CAC to accredit that the design refuses to respond to particular questions connecting to political ideology and criticism of the CCP. [8] [52] Questions related to politically delicate topics such as the 1989 Tiananmen Square protests and massacre or contrasts in between Xi Jinping and Winnie the Pooh need to be decreased. [52]

In 2023, in-country gain access to was blocked to Hugging Face, a company that preserves libraries containing training information sets commonly utilized for big language models. [8] A subsidiary of individuals’s Daily, the official paper of the Central Committee of the Chinese Communist Party, supplies local companies with training information that CCP leaders consider permissible. [8] In 2024, the People’s Daily launched a LLM-based tool called Easy Write. [53]

Microsoft has actually alerted that the Chinese federal government uses generative artificial intelligence to interfere in foreign elections by spreading disinformation and provoking conversations on divisive political issues. [54] [55] [56]

The Chinese expert system model DeepSeek has actually been reported to decline to address questions associating with things about the 1989 Tiananmen Square protests and massacre, persecution of Uyghurs, comparisons between Xi Jinping and Winnie the Pooh or human rights in China. [57] [58] [59]

Impact

Economic effect

Most agencies [who?] hold positive views about AI’s financial effect on China’s long-lasting financial development. In the past, conventional markets in China have fought with the boost in labor costs due to the growing aging population in China and the low birth rate. With the implementation of AI, functional costs are expected to reduce while an increase in performance creates earnings growth. [60] Some highlight the significance of a clear policy and governmental assistance in order to overcome adoption barriers consisting of costs and lack of appropriately trained technical skills 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 may be the most adversely impacted by China’s AI development since of rising demands for workers with innovative skills. [61] Furthermore, China’s economic development may be disproportionately divided as a majority of AI-related industrial advancement is concentrated in seaside areas instead of inland. [61]

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

Military effect

China looks for to build a “world-class” military by “intelligentization” with a particular focus on making use of unmanned weapons and expert system. [62] [63] It is investigating numerous types of air, land, sea, and undersea self-governing lorries. In the spring of 2017, a civilian Chinese university with ties to the military demonstrated an AI-enabled swarm of 1,000 uninhabited aerial vehicles at an airshow. A media report launched later on showed a computer simulation of a comparable swarm development finding and destroying a missile launcher. [4]:23 Open-source publications showed that China is also establishing a suite of AI tools for cyber operations. [64] [4]:27 Chinese development of military AI is largely affected by China’s observation of U.S. plans for defense innovation and fears of a widening “generational gap” in contrast to the U.S. military. Similar to U.S. military principles, China aims to utilize AI for exploiting big chests of intelligence, generating a common operating picture, and accelerating battlefield 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) method, which looks for to integrate sensors and weapons with AI and an energetic network. [65] [66]

Twelve classifications of military applications of AI have been determined: UAVs, USVs, UUVs, UGVs, intelligent munitions, smart satellites, ISR (Intelligence, Surveillance and Reconnaissance) software, automated cyber defense software application, automated cyberattack software application, choice support, software, automated rocket 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, couple of limits exist in between Chinese commercial business, university lab, the military, and the central federal government. As an outcome, the Chinese government has a direct methods of assisting AI advancement top priorities and accessing innovation that was seemingly developed for civilian purposes. To even more strengthen these ties the Chinese government produced a Military-Civil Fusion Development Commission which is planned to speed the transfer of AI technology from business companies and research study organizations to the military in January 2017. [2] [4]:19 In addition, the Chinese government is leveraging both lower barriers to data collection and lower costs of data identifying to produce the large databases on which AI systems train. [68] According to one estimate, China is on track to have 20% of the world’s share of information by 2020, with the potential to have over 30% by 2030. [64] [4]:12

China’s centrally directed effort is investing in the U.S. AI market, in companies working on militarily pertinent AI applications, potentially approving it lawful access to U.S. innovation and intellectual residential or commercial property. [69] Chinese venture capital financial investment in U.S. AI companies between 2010 and 2017 totaled an approximated $1.3 billion. [70] [64] In September 2022, the U.S. Biden administration released an executive order to prevent foreign financial investments, “especially those from competitor or adversarial countries,” from purchasing U.S. technology firms, due to U.S. nationwide security issues. [71] [72] The order covers fields of U.S. innovations in which Chinese government has actually been investing, including “microelectronics, expert system, biotechnology and biomanufacturing, quantum computing, [and] innovative clean energy.” [71] [72]

In 2024, researchers 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 unapproved due to its model use restriction for military purposes. [73] [74]

Academia

Although in 2004, Peking University introduced the first scholastic course on AI which led other Chinese universities to embrace AI as a discipline, especially considering that China faces challenges in recruiting and maintaining AI engineers and researchers. [21] Over half of the data researchers in the United States have actually been operating in the field for over 10 years, while roughly the very same percentage of data researchers in China have less than 5 years of experience. Since 2017, fewer than 30 Chinese Universities produce AI-focused professionals and research study items. [61]:8 Although China exceeded the United States in the variety of research papers produced from 2011 to 2015, the quality of its published papers, as judged by peer citations, ranked 34th globally. [75] China particularly wish to resolve military applications and so the Beijing Institute of Technology, one of China’s premier institutes for weapons research study, recently developed the first kids’s curriculum in military AI worldwide. [76]

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

Ethical concerns

For the past years, there are discussions about AI safety and ethical issues in both private and public sectors. In 2021, China’s Ministry of Science and Technology published the first nationwide ethical standard, ‘the New Generation of Artificial Intelligence Ethics Code’ on the subject of AI with specific focus on user security, data personal privacy, and security. [78] This document acknowledges the power of AI and fast technology adaptation by the huge corporations for user engagements. The South China Morning Post reported that humans shall remain in complete decision-making power and rights to opt-in/-out. [78] Before this, the Beijing Academy of Artificial Intelligence published the Beijing AI concepts requiring important requirements in long-term research and planning of AI ethical concepts. [79]

Data security has actually been the most common subject in AI ethical conversation worldwide, and many nationwide federal governments have actually established legislation dealing with data personal privacy and security. The Cybersecurity Law of individuals’s Republic of China was enacted in 2017 aiming to resolve new difficulties raised by AI development. [80] [initial research study?] In 2021, China’s new Data Security Law (DSL) was gone by the PRC congress, setting up a regulatory structure classifying all kinds of data collection and storage in China. [81] This suggests all tech business in China are required to categorize their data into categories listed in Digital Subscriber Line (DSL) and follow particular guidelines on how to govern and handle information transfers to other celebrations. [81]

Judicial system

In 2019, the city of Hangzhou developed a pilot program artificial intelligence-based Internet Court to adjudicate disputes associated with ecommerce and internet-related intellectual residential or commercial property claims. [82]:124 Parties appear before the court by means of videoconference and AI evaluates the evidence provided and uses pertinent legal standards. [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 upon fragmented judicial data can reach objective decisions. [83] Zhang Linghan, teacher of law at the China University of Political Science and Law, composes that AI-technology companies may erode judicial power. [84] Some scholars argued that “increasing celebration management, political oversight, and decreasing 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 actually gotten attention for facial acknowledgment, sound acknowledgment and drone technologies. [87]

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

In 2023, Tencent debuted its big language model Hunyuan for business 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 also been promoted as a leading start-up. [89]

Assessment

Academic Jinghan Zeng argued the Chinese federal government’s commitment to global AI management and technological competitors 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 historically embedded reasons for China’s stress and anxiety towards securing an international technological supremacy – China missed out on both industrial revolutions, the one starting in Britain in the mid-18th century, and the one that came from America in the late-19th century. [90] Therefore, China’s government desires to take advantage of the technological revolution in today’s world led by digital innovation consisting of AI to resume China’s “rightful” place and to pursue the nationwide rejuvenation proposed by Xi Jinping. [90]

A post published by the Center for a New American Security concluded that “Chinese government authorities demonstrated extremely eager 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 community to similarly prioritize cultivating know-how and understanding of AI advancements in China” and “funding, focus, and a desire amongst U.S. policymakers to drive large-scale essential modification.” [35] A short article in the MIT Technology Review likewise concluded: “China may have unrivaled resources and huge untapped potential, however the West has world-leading proficiency and a strong research culture. Instead of fret about China’s progress, it would be wise for Western countries to concentrate on their existing strengths, investing heavily in research and education. ” [91]

The Chinese government’s censorship regime has actually stunted the development of generative expert system [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 advancement of AI creates difficulties for holistic national security, consisting of the risks that AI will heighten social tensions or have destabilizing impacts on international relations. [28]:49

Writing from a Chinese Marxist view, academics consisting of Gao Qiqi and Pan Enrong compete that capitalist application of AI will lead to greater oppression of workers and more severe social problems. [28]:90 Gao mentions how the development of AI has increased the power of platform companies like Meta, Twitter, and Alphabet, resulting in greater capital build-up and political power in less financial actors. [28]:90 According to Gao, the state should be the main accountable star in the location of generative AI (developing new material like music or video). [28]:92 Gao writes that military usage of AI threats escalating military competition between nations and that the effect of AI in military matters will not be restricted to one country however will have spillover impacts. [28]:91

Dialogues between Chinese and Western AI specialists about the existential danger from expert system have actually happened. [92]

Public ballot

The Chinese public is generally positive regarding AI. [25]:283 [28]:101 A 2021 study conducted throughout 28 countries discovered that 78% of the Chinese public thinks the benefits of AI outweigh the threats, the greatest of any nation in the research study. [25]:283 In 2024, a survey of elite Chinese university students found that 80% agreed or strongly concurred that AI will do more good than damage for society, and 31% thought it needs to be regulated by the government. [93]

Human rights

The widely utilized AI facial acknowledgment has raised issues. [94] According to The New York City Times, implementation of AI facial recognition technology in the Xinjiang region to identify Uyghurs is “the very first recognized example of a government intentionally using synthetic intelligence for racial profiling,” [95] which is said to be “one of the most striking examples of digital authoritarianism.” [96] Researchers have discovered that in China, locations experiencing higher rates of discontent are related to increased state acquisition of AI facial recognition technology, particularly by regional municipal cops departments. [97] [98]

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

References

^ a b Chang, Huey-Meei; Hannas, William C. (2022-06-22), “Foreign assistance, alliances, and innovation transfer”, Chinese Power and Expert System (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 preparing 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 strategies, 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 Brand-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 initial 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 original 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 initial on 2022-01-20. Retrieved 2022-02-07. point out journal: CS1 maint: DOI non-active as of November 2024 (link).
^ “Introduction to the Chinese Association of Expert System”. 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 initial 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 initial 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 initial 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 original on 2023-05-04. Retrieved 2023-05-05.
^ a b Milmo, Dan; Hawkins, Amy (2024-05-18). “How China is using 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 original on 2024-02-20. Retrieved 2024-05-19.
^ Steger, Isabella (2019-02-20). “Chinese state media’s latest innovation 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 gets in the fight for AI skill”. 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 artificial intelligence 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 original 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 initial 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 Enter into Effect”. Law Library of Congress. Archived from the initial on 2024-08-16. Retrieved 2024-08-19.
^ “Huawei reveals Arabic LLM, new information centre in Egypt as part of generative AI push”. South China Morning Post. 2024-05-21. Archived from the original 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 initial on 17 July 2024. Retrieved 22 July 2024.
^ Bandurski, David (2024-12-20). “AI for All”. China Media Project. Archived from the original on 2024-12-20. Retrieved 2024-12-22.
^ Zhuang, Sylvie (21 May 2024). “China rolls out large language model AI based upon Xi Jinping Thought”. South China Morning Post. Archived from the original on 21 May 2024. Retrieved 21 May 2024.
^ “Baidu, SenseTime lead China’s market for business-focused LLMs, states 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 brand-new ‘AI tigers’ emerge as investor favourites”. South China Morning Post. 2024-04-19. Retrieved 2024-08-24.
^ “China’s AI startups race for clients as titans like Alibaba cut rates”. Nikkei Asia. Retrieved 2024-08-24.
^ “Chinese AI companies battle to stand out 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 Brand-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 companies: 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 original on 2024-04-10. Retrieved 2024-04-10.
^ Larson, Christina (8 February 2018). China’s enormous investment in expert system has a perilous disadvantage (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. cite web: CS1 maint: numeric names: authors list (link).
^ Tilley, Aaron. “China’s Rise In The Global AI Race Becomes 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 model 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 City, NY: W. W. Norton & Company. ISBN 978-0393292398.
^ Li, Daitian; Tong, Tony W.; Xiao, Yangao (2021-02-18). “Is China Becoming the Global Leader in AI?”. Harvard Business Review. ISSN 0017-8012. Archived from the initial 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 original 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 guidelines with emphasis on material control”. Financial Times. Archived from the initial on 2024-05-25. Retrieved 2024-05-21.
^ “China is shoring up the great firewall software 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 original on July 17, 2024. Retrieved July 17, 2024.
^ Colville, Alex (2024-11-27). “The Party in the Machine”. China Media Project. Archived from the original on 2024-12-02. Retrieved 2024-11-30.
^ Lyngaas, Sean (2023-09-07). “Suspected Chinese operatives using AI generated images to spread disinformation among US citizens, Microsoft says”. CNN. Archived from the initial on 2024-04-02. Retrieved 2024-04-08.
^ Milmo, Dan (2024-04-05). “China will use AI to interrupt elections in the US, South Korea and India, Microsoft alerts”. The Guardian. ISSN 0261-3077. Archived from the initial 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 original on April 8, 2024. Retrieved April 8, 2024.
^ Field, Matthew; Titcomb, James (27 January 2025). “Chinese AI has stimulated a $1 trillion panic – and it doesn’t appreciate complimentary speech”. The Daily Telegraph. ISSN 0307-1235. Retrieved 27 January 2025.
^ Steinschaden, Jakob (27 January 2025). “DeepSeek: This is what live censorship looks like in the Chinese AI chatbot”. Trending Topics. Retrieved 27 January 2025.
^ Lu, Donna (28 January 2025). “We experimented with DeepSeek. It worked well, up 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 original on 2022-02-05. Retrieved 2022-02-04.
^ a b c d “Expert system: Implications for China”. McKinsey & Company. Archived from the original 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. cite web: CS1 maint: DOI non-active since 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 post includes text from this source, which remains in the general 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 initial 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 initial 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 City Times. ISSN 0362-4331. Archived from the original 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 initial 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 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 original on 2024-11-02. Retrieved 2024-11-03.
^ Pomfret, James; Pang, Jessie (November 1, 2024). “Chinese researchers develop AI model for military use on back of Meta’s Llama”. Reuters. Retrieved November 1, 2024.
^ “Which countries and universities are leading on AI research?”. Times College. 2017-05-22. Archived from the original on 2020-03-02. Retrieved 2020-04-30.
^ “China’s brightest children hired to develop AI ‘killer bots'”. South China Morning Post. 2018-11-08. Archived from the initial on 2020-01-09. Retrieved 2020-04-30.
^ a b “China has ended up being a clinical superpower”. The Economist. ISSN 0013-0613. Archived from the original on 2024-09-26. Retrieved 2024-09-27.
^ a b “Chinese AI has brand-new ethical standards that suppress 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 the People’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 information laws leave companies with more concerns than answers”. Reuters. Archived from the original 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 original 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 initial on 2024-03-31. Retrieved 2024-05-25. [H] umans will slowly lose free choice with an increasing reliance on technology”, she stated in a paper published in the domestic peer-reviewed journal Law and Social Development on Sunday. The smart court system, developed with the deep participation of China’s tech giants, would likewise pass too much power into the hands of a few technical specialists who composed the code, established algorithms or supervised the database. “We must be alert to the disintegration of judicial power by innovation business and capital,” she included.
^ Papagianneas, Straton; Junius, Nino (November 2023). “Fairness and justice through automation in China’s clever 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 – through Elsevier Science Direct.
^ Pham, Sherisse (2018 ). “Chinese AI startup dwarfs worldwide rivals with $4.5 billion valuation”. CNN. Archived from the initial on 9 April 2018. Retrieved 10 April 2018.
^ “China increases tech education to become artificial intelligence leader”. NBC News. 4 January 2020. Archived from the initial on 2020-01-10. Retrieved 2020-01-10.
^ Cao, Ann (2023-09-07). “Tencent releases Hunyuan structure AI design for business”. South China Morning Post. Archived from the original 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 initial 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 initial 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 City 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 surveillance”. Atlantic Council. Archived from the initial 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 Artificial Intelligence: Perspectives and Challenges (1st ed.). London: Routledge.