Artificial Intelligence Industry In China

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

The preliminary phases of China’s AI development were sluggish and came across substantial challenges due to absence of resources and skill. At the starting China was behind many Western countries in terms of AI advancement. A majority of the research was led by scientists who had gotten college abroad. [1]

Since 2006, the federal government of the People’s Republic of China has steadily established a nationwide program for expert system development and became among the leading countries in expert system research and advancement. [2] In 2016, the Chinese Communist Party (CCP) released its thirteenth five-year strategy in which it aimed to become an international AI leader by 2030. [3]

The State Council has a list of « nationwide AI groups » consisting of fifteen China-based business, including Baidu, Tencent, Alibaba, SenseTime, and iFlytek. [citation needed] Each business must lead the advancement of a designated specialized AI sector in China, such as facial recognition, software/hardware, and speech acknowledgment. China’s quick AI advancement has considerably affected Chinese society in numerous areas, 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 impacted by additional AI deployment.

The private sector, university labs, and the armed force are working collaboratively in many aspects as there are couple of present existing boundaries. [4] In 2021, China released the Data Security Law of the People’s Republic of China, its first national law addressing AI-related ethical issues. In October 2022, the United States federal government announced a series of export controls and trade limitations meant to limit China’s access to advanced computer chips for AI applications. [5] [6]

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

History

The research study and advancement of expert system in China started in the 1980s, with the announcement by Deng Xiaoping of the importance of science and technology for China’s financial growth. [3]

Late 1970s to early 2010s

Artificial intelligence research study and development did not start up until 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 believe 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 researchers introduced AI research study led by Qian Xuesen and Wu Wenjun. [9] However, during the time, China’s society still had a typically 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 additional providing government funds for research study tasks. The Chinese Association for Expert System (CAAI) was established in September 1981 and was licensed by the Ministry of Civil Affairs. [10] The first chairman of the executive committee was Qin Yuanxun, who got a PhD in philosophy from Harvard University. [citation required] In 1987, China’s first research publication on expert system was released by Tsinghua University. Beginning in 1993, clever automation and intelligence have become part of China’s national innovation plan. [9]

Since the 2000s, the Chinese government has actually even more broadened its research study and advancement funds for AI and the number of government-sponsored research study projects has actually considerably increased. [3] In 2006, China announced a policy top priority for the advancement of expert system, which was included in the National Medium and Long Term Plan for the Development of Science and Technology (2006-2020), launched by the State Council. [2] In the same year, expert system was also pointed out 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 very same year, the Wu Wenjun Artificial Intelligence Science and Technology Award was founded in honor of Chinese mathematician Wu Wenjun, and it ended up being the greatest award for Chinese achievements in the field of artificial intelligence. The first award event was hung on May 14, 2012. [13] In 2013, the International Joint Conferences on Expert System (IJCAI) was held in Beijing, marking the first time the conference was kept in China. This event corresponded with the Chinese federal government’s announcement of the « Chinese Intelligence Year, » a considerable milestone in China’s advancement of synthetic intelligence. [12]

Late 2010s to early 2020s

The State Council of China provided « A Next Generation Artificial Intelligence Development Plan » (State Council Document [2017] No. 35) on 20 July 2017. In the file, the CCP Central Committee and the State Council urged governing bodies in China to promote the advancement of synthetic intelligence. Specifically, the strategy described AI as a tactical innovation that has ended up being a « focus of worldwide competition ». [14]:2 The document advised considerable investment in a variety of tactical locations related to AI and required close cooperation between the state and economic sectors. On the celebration of CCP general 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 financial and military ends is a vital element to being a terrific power. [15] During the Two Sessions 2017, »synthetic intelligence plus » was proposed to be elevated to a strategic 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 lab in Nanjing, and presented their very first AI specialization chip, Cambrian. [citation required]

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

In 2018, the State Council budgeted $2.1 billion for an AI industrial park in Mentougou district. [21] In order to achieve this the State Council stated the requirement for massive talent acquisition, theoretical and practical advancements, in addition to public and private financial investments. [14] A few of the mentioned inspirations that the State Council offered for pursuing its AI technique consist of the potential of artificial intelligence for commercial change, better social governance and maintaining social stability. [14] Since completion of 2020, Shanghai’s Pudong District had 600 AI companies across fundamental, technical, and application layers, with associated industries valued at around 91 billion yuan. [22]

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

The Beijing Academy of Artificial Intelligence introduced China’s 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 Infotech, and the Ministry of Public Security collectively provided the regulations 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 released its Interim Measures for the Administration of Generative Expert System Services. [28]:96 A draft proposition on fundamental generative AI services safety requirements, including requirements for information collection and design training was released 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 countries. [29] [28]:93 The Initiative has actually expressed issue over AI safety risks, 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 produced with generative expert system to provide phony news clips. [18]

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

In May 2024, the Cyberspace Administration of China revealed that it presented 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 largest LLM market share with 19.9 percent and US$ 49 million in profits over the in 2015. This was followed by SenseTime, with 16 percent market share, and by Zhipu AI, as the 3rd biggest. The fourth and fifth largest were Baichuan and the Hong-Kong listed AI business 4Paradigm respectively. [31] Baichuan, Zhipu AI, Moonshot AI and MiniMax were praised by financiers as China’s new « AI Tigers ». [32] In April 2024, 117 generative AI models had actually been approved by the Chinese government. [33]

Since 2024, numerous Chinese innovation companies such as Zhipu AI and Bytedance have 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 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 goals

According to a February 2019 publication by the Center for a New American Security, CCP basic secretary Xi Jinping – believes that being at the leading edge of AI technology will be crucial to the future of international military and economic power competitors. [35] By 2025, the State Council intends for China to make essential contributions to standard AI theory and to strengthen its location as a worldwide leader in AI research study. Further, the State Council goes for AI to become « the main driving force for China’s industrial updating and financial improvement » by this time. [14] By 2030, the State Council aims to have China be the global leader in the development of synthetic intelligence theory and technology. The State Council declares that China will have established 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 meld state preparation and control while some functional flexibility for firms. In this context, China’s AI firms are hybrid players. The state guides their activity, funds, and shields them from foreign competition through domestic market defenses, creating asymmetric benefits as they expand offshore. » [36]

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

Research and advancement

Chinese public AI financing primarily focused on sophisticated and applied research study. [38] The government financing likewise supported numerous AI R&D in the economic sector through equity capital that are backed by the state. [38] Much analytic firm research showed that, while China is enormously buying all elements of AI development, facial recognition, biotechnology, quantum computing, medical intelligence, and self-governing automobiles are AI sectors with the most attention and financing. [39]

According to national assistance on developing China’s modern commercial development 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 speculative locations. However, the focus of AI R&D differed depending upon cities and regional commercial advancement and community. For instance, Suzhou, a city with a longstanding strong manufacturing industry, heavily focuses on automation and AI facilities while more on AI applications and the education sector. [40] In connection with universities, tech companies, and nationwide ministries, Shenzhen and Hangzhou each co-founded generative AI laboratories. [25]:282

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

Interdisciplinary collaborations play an essential function in China’s AI R&D, including academic-corporate partnership, public-private cooperations, and international partnerships and projects with corporate-government collaborations are the most common. [1] China ranked in the leading three around the world following the United States and the European Union for the total variety of peer-reviewed AI publications that are produced under a corporate-academic partnership 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 regards to AI-related R&D, China-based peer-reviewed AI documents are mainly sponsored by the federal government. In May 2021, China’s Beijing Academy of Expert system released the world’s biggest pre-trained language design (WuDao). [44]

As of 2023, 47% of the world’s top AI scientists had actually 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 regulating AI services and enforcing obligations on AI business, the total technique to its regulation is loose and shows a pro-growth policy beneficial to China’s AI market. [28]:96 In July 2024, the federal government opened its very first algorithm registration center in Beijing. [45]

Population

China’s large population generates an enormous quantity of available information for companies and scientists, which offers a crucial benefit in the race of big data. Since 2024 [update], China has the world’s largest number of web users, generating big amounts of data for machine learning and AI applications. [46]:18

Facial recognition

Facial acknowledgment is among the most extensively utilized AI applications in China. Collecting these large amounts of information from its citizens assists more train and broaden AI capabilities. China’s market is not only favorable and important for corporations to further AI R&D however also uses significant financial prospective bring in both worldwide and domestic firms to sign up with the AI market. The extreme development of the info and communication technology (ICT) market and AI chipsets in the last few years are 2 examples of this. [47] China has ended up being the world’s biggest exporter of facial recognition innovation, according to a January 2023 Wired report. [48]

Censorship and material controls

In April 2023, [49] the Cyberspace Administration of China (CAC) released draft procedures specifying that tech companies will be obliged to guarantee AI-generated material supports the ideology of the CCP consisting of Core Socialist Values, avoids discrimination, appreciates copyright rights, and safeguards user information. [50] [25]:278 Under these draft measures, business bear legal obligation for training data and content produced through their platforms. [25]:278 In October 2023, the Chinese federal government mandated that generative synthetic intelligence-produced material may not « prompt subversion of state power or the overthrowing of the socialist system. » [51] Before releasing a big language model to the general public, companies need to look for approval from the CAC to license that the design declines to respond to particular questions 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 contrasts in between Xi Jinping and Winnie the Pooh need to be decreased. [52]

In 2023, in-country gain access to was obstructed to Hugging Face, a company that preserves libraries consisting of training information sets frequently utilized for big language designs. [8] A subsidiary of the People’s Daily, the official paper of the Central Committee of the Chinese Communist Party, supplies regional business with training information that CCP leaders think about permissible. [8] In 2024, individuals’s Daily launched a LLM-based tool called Easy Write. [53]

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

The Chinese expert system design DeepSeek has actually been reported to refuse to address concerns connecting to features 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 companies [who?] hold optimistic views about AI’s financial influence on China’s long-term financial development. In the past, traditional industries in China have actually had problem with the boost in labor costs 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 efficiency generates revenue growth. [60] Some highlight the significance of a clear policy and governmental assistance in order to conquer adoption barriers including costs and absence of properly 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 workers might be the most adversely impacted by China’s AI development because of increasing needs for laborers with innovative abilities. [61] Furthermore, China’s financial growth may be disproportionately divided as a majority of AI-related industrial advancement is concentrated in seaside regions rather than inland. [61]

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

Military impact

China looks for to develop a « world-class » military by « intelligentization » with a specific focus on using unmanned weapons and artificial intelligence. [62] [63] It is investigating different kinds of air, land, sea, and undersea autonomous vehicles. In the spring of 2017, a civilian Chinese university with ties to the military showed an AI-enabled swarm of 1,000 unoccupied aerial cars at an airshow. A media report launched later on showed a computer simulation of a similar swarm formation 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 advancement of military AI is mostly affected by China’s observation of U.S. plans for defense innovation and fears of a broadening « generational space » in contrast to the U.S. armed force. Similar to U.S. military principles, China intends to use AI for exploiting large troves of intelligence, creating a typical operating image, and accelerating battlefield decision-making. [64] [4]:12 -14 The Chinese Multi-Domain Precision Warfare (MDPW) is considered 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 a vigorous network. [65] [66]

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

China’s management of its AI environment contrasts with that of the United States. [4]:6 In general, few limits exist in between Chinese industrial companies, university lab, the military, and the central government. As an outcome, the Chinese government has a direct means of directing AI development priorities and accessing technology that was seemingly developed for civilian functions. To even more enhance these ties the Chinese government produced a Military-Civil Fusion Development Commission which is meant to speed the transfer of AI innovation 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 develop the large 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 data by 2020, with the prospective 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 appropriate AI applications, possibly approving it legal access to U.S. technology and copyright. [69] Chinese endeavor capital investment in U.S. AI business between 2010 and 2017 totaled an approximated $1.3 billion. [70] [64] In September 2022, the U.S. Biden administration issued an executive order to avoid foreign financial investments, « particularly those from competitor or adversarial nations, » from purchasing U.S. innovation firms, due to U.S. national security issues. [71] [72] The order covers fields of U.S. innovations in which Chinese federal government has been investing, including « microelectronics, expert system, biotechnology and biomanufacturing, quantum computing, [and] advanced clean energy. » [71] [72]

In 2024, scientists from the People’s Liberation Army Academy of Military Sciences were reported to have developed a military tool using Llama, which Meta Platforms stated was unapproved due to its design use 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 embrace AI as a discipline, specifically considering 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 operating in the field for over 10 years, while roughly the very same percentage of data scientists in China have less than 5 years of experience. As of 2017, fewer than 30 Chinese Universities produce AI-focused experts and research study products. [61]:8 Although China exceeded the United States in the variety of research study documents produced from 2011 to 2015, the quality of its published papers, as evaluated by peer citations, ranked 34th internationally. [75] China specifically want to address military applications therefore the Beijing Institute of Technology, one of China’s premier institutes for weapons research study, just recently developed the very first children’s curriculum in military AI on the planet. [76]

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

Ethical concerns

For the previous 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 nationwide ethical standard, ‘the New Generation of Expert System Ethics Code’ on the subject of AI with specific emphasis on user defense, data 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 humans will stay completely decision-making power and rights to opt-in/-out. [78] Before this, the Beijing Academy of Artificial Intelligence released the Beijing AI concepts requiring necessary requirements in long-term research and preparation of AI ethical principles. [79]

Data security has been the most common subject in AI ethical conversation worldwide, and many national governments have established legislation dealing with information personal privacy and security. The Cybersecurity Law of individuals’s Republic of China was enacted in 2017 aiming to resolve brand-new difficulties raised by AI advancement. [80] [original research study?] In 2021, China’s brand-new Data Security Law (DSL) was gone by the PRC congress, setting up a regulative structure classifying all type of information collection and storage in China. [81] This means all tech companies in China are needed to categorize their data into classifications listed in Digital Subscriber Line (DSL) and follow specific guidelines on how to govern and handle information transfers to other parties. [81]

Judicial system

In 2019, the city of Hangzhou established a pilot program artificial intelligence-based Internet Court to adjudicate conflicts associated with ecommerce and internet-related copyright claims. [82]:124 Parties appear before the court via videoconference and AI assesses the proof presented 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 concerns about whether AI based upon fragmented judicial data can reach unbiased decisions. [83] Zhang Linghan, teacher of law at the China University of Government and Law, writes that AI-technology business may deteriorate judicial power. [84] Some scholars argued that « increasing party management, political oversight, and decreasing the discretionary area of judges are intentional objectives of SCR [wise court reform] » [85]

Leading business

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

China’s federal government takes a market-oriented approach to AI, and has actually looked for to motivate private tech companies 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 use on Tencent Cloud. [88]

New leading AI startups include Baichuan, Zhipu AI, Moonshot AI and MiniMax which were applauded by investors as China’s new « AI Tigers » in 2024. [32] 01. AI has actually likewise 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 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 embedded reasons for China’s stress and anxiety towards protecting a worldwide technological dominance – China missed both industrial transformations, the one beginning in Britain in the mid-18th century, and the one that came from America in the late-19th century. [90] Therefore, China’s federal government desires to benefit from the technological transformation in today’s world led by digital innovation consisting of AI to resume China’s « rightful » place and to pursue the national restoration proposed by Xi Jinping. [90]

A short article published by the Center for a New American Security concluded that « Chinese federal government authorities demonstrated remarkably eager understanding of the concerns surrounding AI and global security. This consists of understanding of the U.S. AI policy conversations, » and recommended that « the U.S. policymaking community to likewise prioritize cultivating knowledge and understanding of AI developments in China » and « funding, focus, and a determination amongst U.S. policymakers to drive massive essential change. » [35] A post in the MIT Technology Review likewise concluded: « China might have unequaled resources and huge untapped potential, but the West has world-leading expertise and a strong research culture. Rather than stress over China’s progress, it would be sensible for Western countries to focus on their existing strengths, investing heavily in research and education.  » [91]

The Chinese federal government’s censorship routine has actually 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 composed that the advancement of AI creates obstacles for holistic national security, including the risks that AI will increase social tensions or have destabilizing effects on worldwide relations. [28]:49

Writing from a Chinese Marxist view, academics including Gao Qiqi and Pan Enrong contend that capitalist application of AI will lead to higher oppression of employees and more major social problems. [28]:90 Gao points out how the advancement of AI has actually increased the power of platform companies like Meta, Twitter, and Alphabet, causing higher capital build-up and political power in less financial actors. [28]:90 According to Gao, the state must be the primary accountable actor in the location of generative AI (creating brand-new content like music or video). [28]:92 Gao writes that military usage of AI risks escalating military competitors in between countries and that the effect of AI in military matters will not be limited to one nation but will have spillover results. [28]:91

Dialogues in between Chinese and Western AI specialists about the existential risk from expert system have actually occurred. [92]

Public ballot

The Chinese public is usually optimistic relating to AI. [25]:283 [28]:101 A 2021 research study carried out throughout 28 countries found that 78% of the Chinese public thinks the advantages of AI exceed the risks, the highest of any country in the research study. [25]:283 In 2024, a survey of elite Chinese university trainees found that 80% agreed or highly agreed that AI will do more good than harm for society, and 31% believed it must be controlled by the government. [93]

Human rights

The extensively used AI facial acknowledgment has raised concerns. [94] According to The New York City Times, deployment of AI facial acknowledgment innovation in the Xinjiang region to spot Uyghurs is « the first recognized example of a government intentionally using expert system for racial profiling, » [95] which is stated to be « among the most striking examples of digital authoritarianism. » [96] Researchers have actually found that in China, locations experiencing greater rates of unrest are connected with increased state acquisition of AI facial recognition technology, specifically by local community police departments. [97] [98]

Artificial intelligence.
Expert system arms race
China Brain Project
Fifth generation computer system
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 plans, research, and funding », 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 initial 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 original 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 worries] 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 initial 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 (inactive 1 November 2024). ISSN 1000-7857. Archived from the original on 2022-01-20. Retrieved 2022-02-07. point out journal: CS1 maint: DOI inactive as of 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 initial 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 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 very first AI news anchor unveiled 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 development is an AI female news anchor ». Quartz. Archived from the initial on 2024-05-19. Retrieved 2024-05-19.
^ a b Cyranoski, David (January 17, 2018). « China enters 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 expert system in China from the viewpoint 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 unveils Arabic LLM, brand-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 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 large language model AI based upon 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, states IDC ». South China Morning Post. 2024-08-22. Archived from the initial 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 start-ups race for clients as titans like Alibaba cut rates ». Nikkei Asia. Retrieved 2024-08-24.
^ « Chinese AI firms combat to stand out from competitors 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 Expert System 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 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 Introduction 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 a perilous 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 initial on 2023-04-09. Retrieved 2024-02-16. cite web: CS1 maint: numerical names: authors list (link).
^ Tilley, Aaron. « China’s Rise In The Global AI Race Becomes It Takes Over 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 initial 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 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 put down AI guidelines with focus on content control ». Financial Times. Archived from the initial on 2024-05-25. Retrieved 2024-05-21.
^ « China is supporting the fantastic firewall for the AI age ». The Economist. December 26, 2023. ISSN 0013-0613. Archived from the original on 2023-12-26. Retrieved 2023-12-26.
^ a b McMorrow, Ryan; Hu, Tina (July 17, 2024). « China releases censors to produce 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 initial on 2024-12-02. Retrieved 2024-11-30.
^ Lyngaas, Sean (2023-09-07). « Suspected Chinese operatives utilizing AI created images to spread out disinformation among US voters, 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 interfere with elections in the US, South Korea and India, Microsoft cautions ». 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 triggered a $1 trillion panic – and it does not 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 checked out 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 « Artificial intelligence: 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 (inactive 1 November 2024). Archived from the initial 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 Artificial Intelligence 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 original on 2020-05-08. Retrieved 2020-04-30. This post 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 original 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 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 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 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 establish AI design for military usage on back of Meta’s Llama ». Reuters. Retrieved November 1, 2024.
^ « Which countries and universities are leading on AI research study? ». Times College. 2017-05-22. Archived from the initial on 2020-03-02. Retrieved 2020-04-30.
^ « China’s brightest children hired 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 ended up being 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 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 original on 2022-02-04. Retrieved 2022-02-04.
^ a b Horwitz, Josh (2021-08-27). « China’s coming data laws leave companies with more concerns than answers ». 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 slowly lose complimentary will with an increasing dependency on technology », she said in a paper released 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 also pass too much power into the hands of a few technical specialists who wrote the code, developed algorithms or supervised the database. « We need to look out to the erosion of judicial power by innovation business and capital, » she included.
^ 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 initial on 2024-05-26. Retrieved 2024-05-26 – via Elsevier Science Direct.
^ Pham, Sherisse (2018 ). « Chinese AI startup overshadows international competitors with $4.5 billion assessment ». CNN. Archived from the original on 9 April 2018. Retrieved 10 April 2018.
^ « China increases tech education to become expert system leader ». NBC News. 4 January 2020. Archived from the original on 2020-01-10. Retrieved 2020-01-10.
^ Cao, Ann (2023-09-07). « Tencent introduces Hunyuan foundation AI design for enterprises ». 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 original on 8 September 2024. Retrieved 27 October 2024.
^ a b c Zeng, Jinghan (2021-09-16). « Securitization of Expert System 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 original on March 24, 2018. Retrieved April 3, 2018.
^ Guest, Peter (November 29, 2024). « Inside the AI back-channel 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 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 initial on February 26, 2024. Retrieved February 25, 2024.
^ « China’s AI-Tocracy Quells Protests and Boosts AI Innovation ». IEEE Spectrum. Archived from the original 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.