Leader In Artificial Intelligence Research Articles

Women in Higher Education Leadership

The integration of Artificial Intelligence (AI) into the higher education landscape has caused upset to many long-held practices in the sector as educators question the future. The male-dominated leadership landscape in AI reflects broader gender disparities prevalent in STEM fields. This position paper investigates the challenges women face in academic leadership within the context of AI and proposes strategies to address these disparities. By examining reflective narratives from three women leaders in higher education, we identify themes of visibility, recognition, and inclusive leadership. Our findings highlight the importance of mentoring programs and collaborative leadership models to support women in AI leadership roles. We argue that diverse leadership not only fosters innovative solutions and equitable access but is also crucial for ethical AI development. Promoting diverse voices in AI leadership can drive meaningful change, ensuring AI technologies benefit a broader demographic and align with ethical standards. Future research should focus on strategies to enhance visibility and support for women leaders in AI, addressing both gender and cultural dynamics.

DETERMINANTS OF THE FORMATION OF CHINA'S SMART ECONOMY

The development of China's smart economy has been heavily influenced by the government's strategic policies and investments in key technologies. One of the key technologies driving China's smart economy is the Internet of Things (IoT), which involves connecting machines, devices and sensors to the Internet for real-time data collection and analysis. This enables the optimisation of production processes and improved efficiency in industries such as manufacturing. The Chinese government has actively promoted the adoption of IoT technologies in manufacturing through policies such as the Made in China 2025 plan and the Internet Plus strategy. Another essential technology for China's smart economy is big data, which enables intelligent decision-making in various industries such as finance, healthcare and transportation. The government has encouraged the development of big data infrastructure, including data centres and cloud computing, to support the growth of the industry. Initiatives such as the National Big Data Comprehensive Pilot Zone have been established to promote the development of the big data industry. Artificial intelligence (AI) is also a key technology for China's smart economy, and the government has made significant investments in AI research and development. In 2017, China announced its plan to become a world leader in AI by 2030, with the aim of building a domestic AI industry worth $150 billion. The government has launched initiatives, such as the AI Development Plan, to build an AI ecosystem and promote the integration of AI with traditional industries. Robotics is another critical technology for China's smart economy, particularly in manufacturing. The government has encouraged the use of robots in manufacturing through tax incentives and subsidies, making China the world's largest market for industrial robots. The government aims to further develop the robotics industry to meet the needs of China's smart economy. In conclusion, China's smart economy is driven by strategic policies and investments in key technologies such as IoT, big data, AI and robotics. The government has launched various initiatives to support the development and integration of these technologies with traditional industries, with the aim of building a sustainable and innovative smart economy. These technologies play a critical role in China's industrial upgrading and transformation, and their continued development and adoption are expected to shape the future of China's economy and global competitiveness.

Will ChatGPT undermine ethical values in nursing education, research, and practice?

Will ChatGPT undermine ethical values in nursing education, research, and practice?

Analysis of Countries in Terms of Artificial Intelligence Technologies: PROMETHEE and GAIA Method Approach

Artificial intelligence development and research leaders in business, industry, and nations gain a major competitive edge. Additionally, it is clear that nations with a well-established national artificial intelligence policy have an edge over others, both technologically and economically. To further their artificial intelligence capability, nations also seek to develop a strategy, vision, structure, and working environment that encourages collaboration between the public sector, private industry, and educational institutions. Artificial intelligence is thought to be a tool that will help bridge the gap between powerful and developing countries growing in the future. Using data from “The Global AI Index” for 2021, this study aims to examine and analyze the present state of artificial intelligence management in 62 nations in terms of talent, infrastructure, business environment, development and research government policy, and commercial efforts. The research used PROMETHEE, which is widely used in multi-criteria decision-making evaluations, and its geometric representation, the GAIA plane. This study also found that the United States of America is the world leader in artificial intelligence (AI) research and development as well as AI investment. The United Kingdom, China, Israel, Canada, the Netherlands, South Korea, and Germany all rank well. China is rapidly catching up to the USA. At the very bottom of the list are nations such as Armenia, Kenya, Egypt, South Africa, and Pakistan. Turkey’s values are more similar to those of nations towards the bottom of the list than of those in the top half. There is a significant gap between the top three countries and the rest of the world in all parameters included in the survey. Except for the ‘State Strategy’ category, Turkey scores quite low compared to the top-performing countries. Decision makers are expected to address the identified global challenges of the study by creating a more comprehensive national AI strategy, both financially and in terms of content.

Artificial Intelligence strategy of the Uzbekistan: Policy framework, Preferences, and challenges

Artificial intelligence strategies refer to the plans and actions taken by governments to develop and apply AI technologies to achieve specific goals. This article explores Uzbekistan's policies and preferences regarding the development and implementation of artificial intelligence (AI) technologies. The study examines the country's national strategies and regulatory frameworks for AI, as well as the challenges it faces in realizing its AI ambitions. The analysis reveals that Uzbekistan sees AI as a key enabler of economic growth, social development, and modernization, and aims to become a regional leader in AI by 2030. To achieve this goal, the government has launched several initiatives, such as establishing AI research centers, promoting entrepreneurship and innovation, and investing in digital infrastructure. However, the article also identifies several obstacles, such as a lack of skilled workforce, limited funding, and ethical and legal concerns. The study concludes by providing recommendations for how Uzbekistan can address these challenges and strengthen its AI ecosystem.

Practices and Attitudes of Bavarian Stakeholders Regarding the Secondary Use of Health Data for Research Purposes During the COVID-19 Pandemic: Qualitative Interview Study.

BackgroundThe COVID-19 pandemic is a threat to global health and requires collaborative health research efforts across organizations and countries to address it. Although routinely collected digital health data are a valuable source of information for researchers, benefiting from these data requires accessing and sharing the data. Health care organizations focusing on individual risk minimization threaten to undermine COVID-19 research efforts, and it has been argued that there is an ethical obligation to use the European Union’s General Data Protection Regulation (GDPR) scientific research exemption during the COVID-19 pandemic to support collaborative health research.ObjectiveThis study aims to explore the practices and attitudes of stakeholders in the German federal state of Bavaria regarding the secondary use of health data for research purposes during the COVID-19 pandemic, with a specific focus on the GDPR scientific research exemption.MethodsIndividual semistructured qualitative interviews were conducted between December 2020 and January 2021 with a purposive sample of 17 stakeholders from 3 different groups in Bavaria: researchers involved in COVID-19 research (n=5, 29%), data protection officers (n=6, 35%), and research ethics committee representatives (n=6, 35%). The transcripts were analyzed using conventional content analysis.ResultsParticipants identified systemic challenges in conducting collaborative secondary-use health data research in Bavaria; secondary health data research generally only happens when patient consent has been obtained, or the data have been fully anonymized. The GDPR research exemption has not played a significant role during the pandemic and is currently seldom and restrictively used. Participants identified 3 key groups of barriers that led to difficulties: the wider ecosystem at many Bavarian health care organizations, legal uncertainty that leads to risk-adverse approaches, and ethical positions that patient consent ought to be obtained whenever possible to respect patient autonomy. To improve health data research in Bavaria and across Germany, participants wanted greater legal certainty regarding the use of pseudonymized data for research purposes without the patient’s consent.ConclusionsThe current balance between enabling the positive goals of health data research and avoiding associated data protection risks is heavily skewed toward avoiding risks; so much so that it makes reaching the goals of health data research extremely difficult. This is important, as it is widely recognized that there is an ethical imperative to use health data to improve care. The current approach also creates a problematic conflict with the ambitions of Germany, and the federal state of Bavaria, to be a leader in artificial intelligence. A recent development in the field of German public administration known as norm screening (Normenscreening) could potentially provide a systematic approach to minimize legal barriers. This approach would likely be beneficial to other countries.

The rising US trade protectionism under Donald Trump and its implication on China’s artificial intelligence advancement

<p><strong><br /></strong></p><p class="p2"><span class="s1"> </span>The primary goal of this paper is to provide insight into the factors that have contributed to the trade war between the United States of America and China, which has been influenced not only by the economic sector but also by AI. Furthermore, in light of China's rising power, which threatens to supplant US supremacy, as well as its ambition to become a global leader in artificial intelligence by 2030, the steps taken by the United States during the Donald Trump administration to maintain its global influence are discussed in this paper. Furthermore, there is an indication that China is aiming to boost its global influence, which will be the focus of this paper with due attention to the national artificial intelligence advancement. The desire for both China and the United States to dominate technology has increased competition between the two countries, as evidenced by the numerous technological innovations developed and released by the two countries in recent years. In addition, the authors will conduct empirical case study research in conjunction with comparative analysis. Thus, to investigates this issue through the lens of threat perception, which also serves as a theoretical framework. Lastly, the authors conclude that the advancement of China’s Artificial Intelligence is perceived as a threat for the US national security especially in military and political sector.<span class="Apple-converted-space"> </span></p><p><strong>Keywords : </strong>Artificial Intelligence; Threat Perception; National Security</p>

Will Baidu’s “All in AI” Strategy Bring It Back to the High-Speed Growth Train?

We examine whether Baidu’s “All in AI” strategy will return the company back to high growth. Baidu has suffered a slowdown in recent years, mainly due to the decline of search ads and revenue in a mobile era where Baidu is lagging its competitors, such as Alibaba, Tencent, or ByteDance. To make up, Baidu has been actively pursuing other revenue sources and decided on the “All in AI” strategy after some exploration. Baidu is aggressively investing in artificial intelligence (AI) technologies and striving to be a leader in AI. We examine five pillars under Baidu’s AI endeavors: the AI-driven mobile ecosystem, AI cloud, intelligent and autonomous driving, digital voice assistants, and AI chips. Although many of the AI initiatives, such as autonomous driving, are still in early stages with insignificant contribution to revenue, they are expected to become the growth engines for the future. In conclusion, our analysis shows Baidu’s AI efforts is promising yet the company will face many technological, financial, and political challenges in the next few years.

How to Create Engaging Experiences From Human Emotions

There are several situations where the success of a product or a service depends on people’s emotional reactions while interacting with it. Feelings depends on the personal reaction to the values it offers. Therefore, it is not possible to presume that all persons will share the same reactions. An important challenge that designers have to face is to measure such feelings at every digital and physical touchpoint encountered by the customer and in which an experience takes place. In this context, the present research proposes an emotional-sensitive system able to measure the customer’s emotion and behavior and responsively adapt the experience to generate an individualized human-system interaction. It enables a continuous flow between analysis and reaction at every touchpoint of the customer experience. The paper illustrates the implementing technological framework, developed by EMOJ, an Italian startup leader in Artificial Intelligence (AI), and several applicative use cases.

Russia's Artificial Intelligence Strategy: The Role of State-Owned Firms

In 2017, Russian President Vladimir Putin declared that whichever country becomes the leader in artificial intelligence (AI) “will become the ruler of the world.” Yet Russia lags competitors like China and the United States substantially in AI capabilities. What is Russia's strategy for boosting development of AI technologies, and what role do groups within the Russian elite play in shaping this strategy? Russia's AI development strategy is unique in that it is led not by the government, nor by the private sector, but by state-owned firms. The government's distrust of Russia's largest tech firm, Yandex, has sidelined the company from national AI planning. Meanwhile, Russia's defense conglomerate Rostec publicly appears to focus less on artificial intelligence than on other high-tech priorities. As a result, Russia's AI development has been left to a state-owned bank, Sberbank, which has taken the lead in devising plans for government-backed investment in AI.

The race to the top among the world’s leaders in artificial intelligence

As revenues and research output soar in the field of AI, global competition between the United States, China and Europe heats up. As revenues and research output soar in the field of AI, global competition between the United States, China and Europe heats up.

Japan's Population Decline and the Robotics Revolution

Japan is experiencing a large population decline. The current population of 127 million will, at current estimates, drop by one-third to 88 million by 2065. At the same time, the population is ageing greatly with 28% aged 65 or over, a world record. Japan is pioneering the widespread introduction of robotics into many areas of society to compensate for the population fall. It aims to replace humans in many sectors like manufacturing and food processing. It also plans to introduce service robots that work closely with human beings in settings like care homes and hospitals. It is the largest such program of its kind globally. The ultimate success of this program depends on creating truly autonomous robots and will require Japan to become a global leader in artificial intelligence alongside the United States and China.

The Chinese Approach to Artificial Intelligence: An Analysis of Policy and Regulation

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan (ca. 150 billion dollars) industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents.

The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan (ca. 150 billion dollars) industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents.

Artificial Intelligence used in School’s of China

AI with school education is growing fast in china.China has big plans to become a Global Leader in Artificial Intelligence , it has enabled a cashless economy and now Schools in china offers a glimpse of what the future of high tech education in china might look like. AI is used for Facial recognition , to handle enrollment and for recording students attention level. Classroom has robots that analyze students' health and engagement level. Students wear uniforms with chips that track their location which is a big help in primary school so that no student is lost. Usage of AI differs at recognizable rates in Chinese schooling. AI implementation is at its early stage in primary education; it is widespread in higher education and is even more common in science education.

Artificial Intelligence Regulation and China's Future

China has announced to the world that it intends to become the global leader in artificial intelligence (AI), both in terms of developing and deploying the technology as well as governing it with appropriate laws and regulations. In light of this declaration, it is tempting to take the Chinese government at its word and brace for an AI-powered China of the future. Plans, however ambitious, do not always reflect reality. Therefore, when it comes to understanding China's bold AI-related declarations and actions, it is important to put them into institutional context and look beyond the appearance of China's stated ambitions and into the more nuanced reality of how China's existing political and legal institutions describe and use the term AI. On that note, China's AI ambitions have currently served more immediate rhetorical and political goals rather than substantive ones. Furthermore, focusing on rhetoric over substance is having significant and potentially negative impacts on China's political and legal institutions, leading to institutional decay, the process by which growing complexity, ambiguity, and transaction costs inhibit institutions' capacity to rapidly, clearly, and effectively gather and share information and delineate tasks.

The Geoeconomic Challenge To International Economic Law: Lessons From The Regulation Of Data In China

A clash of economic models with the potential to disrupt international economic law is emerging in the wake of China’s increasing global presence. At the center of this clash of models is the claim that China introduces a ‘geoeconomic’ element to economic relations, while others follow a ‘market-orientation’. The emergence of such clash of models owes significantly to the fact that China has proven unwilling to change course to meet expectations of other actors. In an attempt to manage China’s competition, actors such as the US are themselves resorting to geoeconomic measures, thereby triggering a ‘geoeconomic chain reaction’. The article argues that such geoeconomic dynamic changes the logic underlying global economic relations, with implications for international economic law. The article examines the regulation of data in China, particularly data localization provisions, to show (i) how this legislation advances the geoeconomic goal of helping China to become a leader in artificial intelligence; and (ii) the consequences of China’s approach to data regulation over the prospects of international rules being agreed in this area—so as to project the impact of geoeconomics on international economic law.

Rising Sino-U.S. Competition in Artificial Intelligence

Both China and the United States are international leaders in artificial intelligence (AI). Although there remains a significant gap between them in cutting-edge technologies, and they have adopted different methods of planning and implementation, both countries have been mobilizing national resources and formulating policies to promote AI development, so as to achieve a strategic advantage over the other, especially against the backdrop of ever more intense and complicated strategic competition between them in recent years. As an epitome of their changing relationship, Sino-U.S. competition in AI development is manifested in economic, political, security, technological and other fields. It is expected that artificial intelligence will become an even more important field of competition between China and the United States, and that the trends of AI development and competition will to some extent determine the future dynamics of their bilateral relations.