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Journal articles on the topic 'US policy regarding AI'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Băjenescu, Titu-Marius I. "COMPARING ARTIFICIAL INTELLIGENCE DEVELOPMENTS OF SUPERPOWERS: CHINA AND THE US." Journal of Social Sciences III (3) (September 1, 2020): 43–50. https://doi.org/10.5281/zenodo.3971959.

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The paper deals with the progress in various aspects of Artificial Intelligence (AI) in US and China. There is concern about high-level machine intelligence and super-intelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. High level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to super-intelligence in less than 30 years thereafter. They estimate the chance is about one in three that this deve

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Qu, Chen, and Eunyoung Kim. "Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis." Journal of Infrastructure, Policy and Development 6, no. 2 (2022): 1661. http://dx.doi.org/10.24294/jipd.v6i2.1661.

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Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI

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Kocherov, Oleg Sergeevich. "Prospects for China's Use of Artificial Intelligence in the Context of the US-China Geopolitical Rivalry." Мировая политика, no. 4 (April 2024): 12–29. http://dx.doi.org/10.25136/2409-8671.2024.4.72438.

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Artificial intelligence (AI) is becoming an increasingly important factor in the dynamics of international relations and the transformation of war in the 21st century. Of particular interest is the analysis of the political development of the AI &#8203;&#8203;program in China, which sees "smart" technologies as the most important means of achieving its project of "new type of international relations". This paper attempts to explore the prospects for the use of AI by China in the framework of the Sino-American political war in the context of China's foreign policy strategy. Based on the

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Shah, Prisha Jigarkumar. "Exploring Current Trends in Journalism- Misinformation, Press Freedom, and Economic Challenges of US Newsrooms -2024." International Journal of Social Science Research and Review 8, no. 7 (2025): 14–32. https://doi.org/10.47814/ijssrr.v8i7.2681.

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In 2024, there have been several uproars regarding the veracity of news. With the rapid development and integration of AI, it is becoming increasingly difficult to trust news. This essay aims to consolidate insights from existing research to provide a comprehensive economic overview of the current news landscape and challenges in journalism, particularly focusing on the transformative impact of AI and social media in 2024. The paper examines how financial sustainability impacts press freedom, how market incentives contribute to misinformation and how economic shifts in news demand threatens tr

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Melnikova, E. N. "Prospects for the Convergence of the Legislation of the EAEU Countries Regarding the Legal Regulation of Artificial Intelligence." EURASIAN INTEGRATION: economics, law, politics 18, no. 2 (2024): 98–106. http://dx.doi.org/10.22394/2073-2929-2024-02-98-106.

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This study is devoted to the analysis of the prospects for the convergence of the legislation of the EAEU countries regarding the legal regulation of artificial intelligence (AI).Aim. To identify the need and identify the prerequisites for supranational legal regulation of AI in the EAEU. Tasks. To list the features of AI that necessitate supranational legal regulation in the context of analyzing the consequences for the purposes of the EAEU. To make a classification and analyze the prerequisites for the formation of the will of the EAEU member states to bring together the legislation of the E

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Akhter, Nazneen, Umme Suriea, and Sabrina Afrin Soha. "Understanding the AI Integrity in Academic Excellence: Bangladesh Perspective." Bangladesh Journal of Bioethics 15, no. 2 (2024): 33–35. http://dx.doi.org/10.62865/bjbio.v15i2.101.

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Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary tools that have opened up a new technology-driven horizon in academic learning to enhance and accelerate the higher education journey. This article describes and discusses the convergence of academic integrity and AI, both of which are fundamental to our intellectual environment. An effective approach to AI-integrated learning can balance the use of AI-generated tools and techniques to stimulate students' creativity, analytical thinking, and real-life observation. As we strive for academic excellence, it is essential to i

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Jiang, Qiyu, Yitian Tan, and Yuxi Wang. "Trend of Chip Industry under the Negative Interest Rate Policy: Based on Time Series Model." Advances in Economics, Management and Political Sciences 19, no. 1 (2023): 40–47. http://dx.doi.org/10.54254/2754-1169/19/20230116.

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On 7 October 2022, the US government issued a revised policy regarding semiconductor technology export toward China. The 139 pages of rules stated the regulation on export of chips, more specifically, the advanced computer chips that could support AI algorithms. In fact, this is not the first time for US government banning export of high-end computer chips to China, but this one could be the most expensive export restriction within a decade. Chinese chip companies have long suffered from the banning from US government, the development of the whole industry is filled with twists and turns as we

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Yarovoi, Tykhon, Vira Dabizha, Oleksandr Bondarenko, Tetiana Shestakovska, and Roman Kropyvnytskyi. "Diplomatic relations of Ukraine with the EU in the sphere of security and in relation to candidacy." Revista Amazonia Investiga 11, no. 55 (2022): 50–59. http://dx.doi.org/10.34069/ai/2022.55.07.5.

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The aspiration of Ukraine to integrate into the European Union and the acquisition of membership in the EU is one of the priority directions of state policy, forasmuch as ensuring the country’s full participation in the European and regional security system will create for Ukraine a reliable basis for its sustainable development and protection of national interests. The purpose of the research lies in substantiating the theoretical fundamentals and determining the practical recommendations regarding the diplomatic relations of Ukraine with the European Union in the field of security and in acc

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Rangari, Jayesh. "Balancing AI Innovation and Privacy: A Study of Facial Recognition Technologies under the DPDPA." Revista Review Index Journal of Multidisciplinary 5, no. 1 (2025): 30–38. https://doi.org/10.31305/rrijm2025.v05.n01.004.

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The use of artificial intelligence facial recognition technologies poses qualitative challenges to privacy and data protection law, mainly for India’s Digital Personal Data Protection Act (DPDPA). The relationship between AI, surveillance, technologies, and legal systems is analyzed, focusing on the ways AI-FRT systems conflict with and meet the terms with data minimization, consent, algorithmic accountability, and other operationalization of rights under the DPDPA. This study examines the effects of unregulated biometric data harvesting and opaque decision-making processes in AI systems, draw

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Hong, Soo Jung, and Hichang Cho. "The role of uncertainty and affect in decision-making on the adoption of AI-based contact-tracing technology during the COVID-19 pandemic." DIGITAL HEALTH 9 (January 2023): 205520762311698. http://dx.doi.org/10.1177/20552076231169836.

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Objective This study explores how negative affect, perceived net equity, and uncertainty influence the public's privacy decision-making regarding the adoption of contact-tracing technology based on artificial intelligence (AI) during the COVID-19 pandemic. Methods Four hundred and eighteen adults in the US participated in the study via Amazon Mechanical Turk in August 2020. Statistical analyses were performed using the PROCESS macro. Indirect effects and their significance were estimated using bias-corrected bootstrap confidence intervals (CIs) with resampling set to n = 5000. Results Perceive

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Niraula, Sanjeev. "The Impact of ChatGPT on Academia: A Comprehensive Analysis of AI Policies Across UT System Academic Institutions." Advances in Mobile Learning Educational Research 4, no. 1 (2024): 973–82. http://dx.doi.org/10.25082/amler.2024.01.009.

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Since ChatGPT was released by OpenAI, an American company, in 2022 for the public, ChatGPT has become the talk of every town, as evident by its over 180 million users worldwide. This chatbot's ability to engage in human-like conversations, answer questions, and generate diverse content has sparked widespread debates across various fields, including education. In response to the growing rise and influence of ChatGPT, educators have contrasting opinions; some view ChatGPT as an opportunity, whereas others regard it as a challenge that needs to be addressed on time. In order to deal with the comp

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Valle-Cruz, David, Vanessa Fernández-Cortez, and J. Ramón Gil-García. "Inteligencia artificial y planeación presupuestaria en México: promesas y retos en América Latina para la asignación del gasto público." Revista del CLAD Reforma y Democracia, no. 85 (January 1, 2023): 5–52. http://dx.doi.org/10.69733/clad.ryd.n85.a234.

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Public budgeting is a complex process that depends on multiple factors, including the consideration of scarce resources and the quality of available information. Artificial intelligence (AI) has the potential to discover models that help explain complex social phenomena, such as the budget planning. However, currently there is little work exploring the application of AI in this context. This paper aims to propose an algorithmic perspective for the allocation of public budget in Mexico by exploring the potential of multilayer perceptron and multi-objective genetic algorithms. The guiding resear

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Nurullah, Md, Rania Hodhod, Helle Friis, Walker Smith, and Kirk Heriot. "InsightForge: Deriving Entrepreneurial Insights from Open-Ended and Unstructured Survey Data Using NLP Techniques." Electronics 13, no. 23 (2024): 4725. http://dx.doi.org/10.3390/electronics13234725.

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Entrepreneurship has long been recognized as a key driver of economic development, traditionally centered on business creation and the strategic actions of individuals aiming to realize their entrepreneurial visions. Central to this process has been the business plan, often viewed as a critical blueprint that outlines the vision, strategies, and operations of new ventures. However, recent studies and observations have raised concerns regarding the continued relevance of business plans, suggesting a shift in entrepreneurial behavior. In response, this study adopts a novel approach by using arti

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Chaudhary, Gyandeep. "Unveiling the Black Box: Bringing Algorithmic Transparency to AI." Masaryk University Journal of Law and Technology 18, no. 1 (2024): 93–122. http://dx.doi.org/10.5817/mujlt2024-1-4.

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Overall, algorithmic transparency is an important aspect of responsible AI development and deployment. Ensuring that AI systems are transparent and accountable will help build trust and confidence in these systems and ensure that they are used ethically and effectively. Artificial intelligence (AI) has emerged as a cutting-edge domain that is fundamentally redefining different areas of daily experiences, such as health care, transport, finance, education, and others. The systems are not created for making a judgment like human judgment of natural language, spotting patterns and problem-solving

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Roemmich, Kat, and Nazanin Andalibi. "Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021): 1–34. http://dx.doi.org/10.1145/3476049.

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Automatic emotion recognition (ER)-enabled wellbeing interventions use ER algorithms to infer the emotions of a data subject (i.e., a person about whom data is collected or processed to enable ER) based on data generated from their online interactions, such as social media activity, and intervene accordingly. The potential commercial applications of this technology are widely acknowledged, particularly in the context of social media. Yet, little is known about data subjects' conceptualizations of and attitudes toward automatic ER-enabled wellbeing interventions. To address this gap, we intervi

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Blanes-Selva, Vicent, Sabina Asensio-Cuesta, Ascensión Doñate-Martínez, Felipe Pereira Mesquita, and Juan M. García-Gómez. "User-centred design of a clinical decision support system for palliative care: Insights from healthcare professionals." DIGITAL HEALTH 9 (January 2023): 205520762211507. http://dx.doi.org/10.1177/20552076221150735.

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Objective: Although clinical decision support systems (CDSS) have many benefits for clinical practice, they also have several barriers to their acceptance by professionals. Our objective in this study was to design and validate The Aleph palliative care (PC) CDSS through a user-centred method, considering the predictions of the artificial intelligence (AI) core, usability and user experience (UX). Methods: We performed two rounds of individual evaluation sessions with potential users. Each session included a model evaluation, a task test and a usability and UX assessment. Results: The machine

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Seo, Yuna, and Shotaro Umeda. "Evaluating Farm Management Performance by the Choice of Pest-Control Sprayers in Rice Farming in Japan." Sustainability 13, no. 5 (2021): 2618. http://dx.doi.org/10.3390/su13052618.

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With rapidly advancing technologies such as IoT, AI, robotics, and others, smart agriculture in Japan has been introduced and tested throughout the country. The validity of the implementation of smart agriculture could be measured by using cost analysis, working capacity assessment, and management efficiency analysis. In this study, we focused on pest-control management, wherein unmanned aerial vehicles (UAVs) for crop spraying have been recently introduced. In order to clarify the validity of UAVs for rice fields in Japan regarding costs and performance, we conducted a comparative study of pe

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Van, Nguyen Thi Thanh, Vasiliki Vrana, Nguyen Thien Duy, et al. "The Role of Human–Machine Interactive Devices for Post-COVID-19 Innovative Sustainable Tourism in Ho Chi Minh City, Vietnam." Sustainability 12, no. 22 (2020): 9523. http://dx.doi.org/10.3390/su12229523.

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In this research article, we aim to study the proposed role of human–machine interactive (HMI) technologies, including both artificial intelligence (AI) and virtual reality (VR)-enabled applications, for the post-COVID-19 revival of the already depleted tourism industry in Vietnam’s major tourist destination and business hub of Ho Chi Minh City. The researchers aim to gather practical knowledge regarding tourists’ intentions for such service enhancements, which may drive the sector to adopt a better conclusive growth pattern in post-COVID-19 times. In this study, we attempt to focus on travele

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Tanveer, Muhammad, Shafiqul Hassan, and Amiya Bhaumik. "Academic Policy Regarding Sustainability and Artificial Intelligence (AI)." Sustainability 12, no. 22 (2020): 9435. http://dx.doi.org/10.3390/su12229435.

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Artificial intelligence (AI) has grown, and technologies have intensified across all fields of life, particularly in education. AI has been applied to resources to improve skills giving teachers the time and freedom to provide understanding and adaptability and drive performance. This paper, written for policymakers in the field of education, highlights the impact of AI and advancements in academic policy. These academic policymakers generate ideas and strategies for applying AI across various disciplines. There is also discussion around AI implementation in education throughout developing nat

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Sopiko Mikabadze, Sopiko Mikabadze, and Tinatin kostava Tinatin kostava. "AI and International Policy Management." Economics 107, no. 3-5 (2025): 128–31. https://doi.org/10.36962/ecs107/3-5/2025-128.

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International policy management is one of the most important and complex issues in the modern global world. Its goal is to ensure security and stability between countries. The aspects and outcomes of international policy management are mainly related to achieving this goal and its effective implementation. Among the many challenges facing international policy management, one of the most important is technological progress, such as cybersecurity and artificial intelligence. Artificial intelligence poses new problems for countries, which is why they need to cooperate with each other to manage th

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Walton, Thomas. "Options Regarding a US Design Policy." Design Management Journal (Former Series) 4, no. 3 (2010): 6–9. http://dx.doi.org/10.1111/j.1948-7169.1993.tb00355.x.

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Klinger, Christoph, Bettina Riecken, Christoph Frank Dietrich, Klaus Dirks, Karel Caca, and Eckhart Fröhlich. "Use of Ultrasound in the Diagnostic Work-Up of Adult Intussusception – A Multicenter Retrospective Analysis." Ultraschall in der Medizin - European Journal of Ultrasound 41, no. 04 (2018): 418–27. http://dx.doi.org/10.1055/a-0604-2676.

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Abstract Purpose To evaluate the use of ultrasound (US) in the diagnostic work-up of adult intussusception (AI). Methods This multicenter study includes 26 consecutive patients diagnosed with AI between January 2010 and November 2017. A retrospective chart analysis was conducted with a focus on abdominal US findings and diagnostic accuracy of different imaging modalities (ultrasound, computed tomography (CT), magnetic resonance imaging). If available, surgical and pathological findings served as the gold standard (76.9 %). US examiners certified according to DEGUM grade 2 or 3 were classified

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Hunnewell, Blake. "National Security Concerns for Artificial Intelligence and Civilian Critical Infrastructure." SAIS Review of International Affairs 44, no. 2 (2024): 31–46. https://doi.org/10.1353/sais.2024.a950955.

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Abstract: This article analyzes the impacts of artificial intelligence (AI) on the safety and security of civilian critical infrastructure (CI) in relation to US national security. While the present focus of AI policy, strategy, and regulation is responsibly directed toward corruption in social media, disinformation, data privacy, and innovation, US AI policy, strategy, and regulation toward civilian CI is critically lacking. AI is still a developing technology, and its applicability has yet to be entirely understood. Further research on AI's potential implications is more important than ever

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Aggarwal, Deepshikha. "Green Education: A Sustainable Development Initiative with the Power of Artificial Intelligence (AI)." Aug-Sept 2023, no. 35 (September 22, 2023): 39–44. http://dx.doi.org/10.55529/jipirs.35.39.44.

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AI has the power to revolutionize the way we teach, learn and train. It can be applied to a wide range of educational topics, from basic literacy to advanced material. AI can help us make more effective use of our knowledge and resources, making learning more accessible, enjoyable, and efficient. AI can also help create more sustainable development initiatives by allowing us to use fewer resources and more efficiently. By combining AI with green education, we can create a comprehensive approach to sustainable development that is both efficient and financially viable. We can use AI to improve t

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Arslan, Ayse Kok. "AN EMPIRICAL MODEL FOR EXPLORING AI IN GOVERNMENT: PUTTING SOCIO-TECHNOLOGICAL SYSTEMS PERSPECTIVES INTO USE." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 21 (April 14, 2021): 14–25. http://dx.doi.org/10.24297/ijct.v21i.8999.

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This study explores the evolution of global AI dynamics by discussing its role in government with a focus on aspects of development and governance of social and technological systems (STS). This document reports three research questions, including the extent of the analysis: (1) theories regarding the concept of AI in the public sector; (2) expectations regarding the development of AI in the public sector; and, (3) the challenges and opportunities of AI in the public sector. This experimental study provides an experimental framework for a comprehensive approach to measuring the magnitude of AI

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Kim, Geun-Hye, and Kyu-Dong Park. "A Study on US AI and Algorithm Regulatory Policy Analysis." Journal of Next-generation Convergence Information Services Technology 11, no. 2 (2022): 125–37. http://dx.doi.org/10.29056/jncist.2022.04.02.

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Bisen, Mehmet, Alper Yusuf Ozbey, Yusuf Koroglu, Adam Sharif, and Yusuf Sinan. "Comparison Of Different Types Of Machine Learning On Remote Education." Eurasian Journal of Higher Education, no. 7 (January 30, 2023): 1–7. http://dx.doi.org/10.31039/ejohe.2022.7.73.

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The effects of Artificial Intelligence on today's world have been life changing, but how exactly has AI had an impact on humans? The motive for these observations is to provide others a better understanding of how AI enhances our learning experience for the greater, and it also lets us comprehend the differentiation to non-AI involving situations. While accounting multiple studies into comparison, this has helped us analyze these concepts. The use of AI results in a further more personalized experience with extended learning gains when put into comparison to standard computed programs, also en

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Krarup, Troels, and Maja Horst. "European artificial intelligence policy as digital single market making." Big Data & Society 10, no. 1 (2023): 205395172311538. http://dx.doi.org/10.1177/20539517231153811.

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Rapid innovation in digital services relying on artificial intelligence (AI) challenges existing regulations across a wide array of policy fields. The European Union (EU) has pursued a position as global leader on ethical AI regulation in explicit contrast to US laissez-faire and Chinese state surveillance approaches. This article asks how the seemingly heterogeneous approaches of market making and ethical AI are woven together at a deeper level in EU regulation. Combining quantitative analysis of all official EU documents on AI with in-depth reading of key reports, communications, and legisla

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PISICĂ, Alina Iorga, and Rodica Milena ZAHARIA. "What Artificial Intelligence Means to Us – Students’ Insights." European Journal of Interdisciplinary Studies 17, no. 1 (2025): 142–52. https://doi.org/10.24818/ejis.2025.09.

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This study explores students' perspectives on advancing Higher Education to equip them better not only for the evolving demands of the 21st-century labour market, but also for the societal challenges posed by the rapid development of Artificial Intelligence (AI). A total of fifty students from various European universities provided insights into the role of AI in education, articulating their views on AI potential, its ethical application within academic institutions and the necessity for caution due to a general lack of awareness regarding its potential risks. Employing a brainstorming techni

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Harshita Panjani, Alka Mudgal. "AI(Artificial Intelligence) Integration in Education: Teachers’ Perspectives, Professional Development and Policy Recommendations." Journal of Information Systems Engineering and Management 10, no. 50s (2025): 1160–67. https://doi.org/10.52783/jisem.v10i50s.10602.

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Artificial Intelligence (AI) has emerged as a disruptive and transformative force in education as it offers potential benefits such as personalized learning, effective assessment methodologies, and automated administrative processes. This study examines the teachers' perspectives on AI integration in education, reflecting on their perceptions, prevalent challenges, and professional development practices required to empower the teachers with technical skills to ensure effective implementation of AI. A questionnaire was prepared, validated, and used to collect data from the teachers about their

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Harshita Panjani, Alka Mudgal. "AI(Artificial Intelligence) Integration in Education: Teachers’ Perspectives, Professional Development and Policy Recommendations." Journal of Information Systems Engineering and Management 9, no. 4s (2024): 138–45. https://doi.org/10.52783/jisem.v9i4s.10602.

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Artificial Intelligence (AI) has emerged as a disruptive and transformative force in education as it offers potential benefits such as personalized learning, effective assessment methodologies, and automated administrative processes. This study examines the teachers' perspectives on AI integration in education, reflecting on their perceptions, prevalent challenges, and professional development practices required to empower the teachers with technical skills to ensure effective implementation of AI. A questionnaire was prepared, validated, and used to collect data from the teachers about their

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Hwang, Jae Woon, Jae Young Chung, Jiae Park, et al. "An Analysis of Teachers’ Policy Demands Regarding Learning with AI." Korean Educational Administration Society 43, no. 1 (2025): 179–208. https://doi.org/10.22553/keas.2025.43.1.179.

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Daniel, Philip T. K., Patrick D. Pauken, and Mounir Rafik. "Artificial Intelligence: Legal, Ethical, and Policy Implications for Higher Education." Journal of Education Finance and Law 50, no. 1 (2025): 3–30. https://doi.org/10.5406/30678560.50.1.02.

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Abstract This article explores the potential benefits and ethical and legal challenges associated with the increasing use of artificial intelligence (AI) in academia, particularly in higher education. The authors examine how AI functions, its various applications in academic settings such as admissions, research, and writing, and the potential biases inherent in AI systems. They also discuss the legal issues surrounding copyright and patent protection in the age of AI, particularly in light of the current debate regarding human authorship and AI-generated content. The authors ultimately argue

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Selyanin, Y. "Budget Funding Priorities and Development Prospects of the US Artificial Intelligence." Analysis and Forecasting. IMEMO Journal, no. 3 (2021): 65–93. http://dx.doi.org/10.20542/afij-2021-3-65-93.

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The US Government has initiated a large-scale activity on artificial intelligence (AI) development and implementation. Numerous departments and agencies including the Pentagon, intelligence community and citizen agencies take part in these efforts. Some of them are responsible for technology, materials and standards development. Others are customers of AI. State AI efforts receive significant budget funding. Moreover, Department of Defense costs on AI are comparable with the whole non-defense funding. American world-leading IT companies support state departments and agencies in organizing AI t

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Wei, Kevin, Carson Ezell, Nick Gabrieli, and Chinmay Deshpande. "How Do AI Companies “Fine-Tune” Policy? Examining Regulatory Capture in AI Governance." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7 (October 16, 2024): 1539–55. http://dx.doi.org/10.1609/aies.v7i1.31745.

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Industry actors in the United States have gained extensive influence in conversations about the regulation of general-purpose artificial intelligence (AI) systems. Although industry participation is an important part of the policy process, it can also cause regulatory capture, whereby industry co-opts regulatory regimes to prioritize private over public welfare. Capture of AI policy by AI developers and deployers could hinder such regulatory goals as ensuring the safety, fairness, beneficence, transparency, or innovation of general-purpose AI systems. In this paper, we first introduce differen

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Poseliuzhna, Ilona. "Towards the Politicization of Artificial Intelligence in the EU? External Influences and Internal Dynamics." Rocznik Integracji Europejskiej, no. 17 (December 30, 2023): 379–91. http://dx.doi.org/10.14746/rie.2023.17.23.

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This paper explores the politicization of Artificial Intelligence (AI) within the EU, examining the interplay between internal dynamics and external influences, particularly from the United States and China. The study aims to identify early signs of politicization in the EU’s AI debate and compare the EU’s AI policy model with those of the US and China. The hypothesis posits that EU public debate on AI is politicized, shaped by both internal factors and responses to external AI policy models. The research uses comparative policy analysis and content analysis. Findings indicate a growing salien

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Poselużna, Ilona. "Towards the politicization of Artificial Intelligence in the EU? External influences and internal dynamics." Rocznik Integracji Europejskiej, no. 17 (December 30, 2023): 379–91. https://doi.org/10.14746/rie.2023.17.23.

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This paper explores the politicization of Artificial Intelligence (AI) within the EU, examining the interplay between internal dynamics and external influences, particularly from the United States and China. The study aims to identify early signs of politicization in the EU’s AI debate and compare the EU’s AI policy model with those of the US and China. The hypothesis posits that EU public debate on AI is politicized, shaped by both internal factors and responses to external AI policy models. The research uses comparative policy analysis and content analysis. Findings indicate a gr

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Jelena Vujicic. "Algorithmic accountability and ethical oversight: legal challenges in transatlantic AI regulation." International Journal of Science and Research Archive 13, no. 2 (2024): 4409–19. https://doi.org/10.30574/ijsra.2024.13.2.0722.

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This paper examines the legal systems governing AI in the European Union (EU) and the United States (US) and the conditions associated with regulating the growing AI advancement. In comparing the GDPR of the European Union and the proposed AI regulation across industries such as healthcare, transportation, and the military in the United States, similarities and dissimilarities emerge in the two areas‘approaches to regulating AI. The current frameworks also lack sufficient provisions regarding ethics and bias, particularly in algorithms and general transparency. This also stresses the importanc

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Elamiryan, Ruben. "THE US PLACE AND ROLE AS A GLOBAL PEACEKEEPER AND PEACEBUILDER: HISTORY AND PROSPECTS IN CHANGING GLOBAL GEOPOLITICAL LANDSCAPE." Armenological Issues 2, no. 28 (2025): 123–32. https://doi.org/10.46991/ai.2024.2.28.008.

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The paper discusses the US place and role in global peacekeeping operations and peacebuilding processes. First, it traces the transformation of US strategic perception regarding peacekeeping and peacebuilding from 1991 to 2022. Second, on the example of Desert Storm, Kosovo, Afghanistan, Iraq, Libya, and Syria, it reveals the US approaches to the peacekeeping operations and peacebuilding processes at the practical level. Finally, the paper explores potential scenarios for US engagement in the South Caucasus and particularly, in the Armenia-Azerbaijan conflict, based on US strategic approaches

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V Valdez, Anabelie. "A Policy Brief on the Application of Artificial Insemination (AI) in Lanao del Sur." Open Access Journal of Agricultural Research 9, no. 1 (2024): 1–3. http://dx.doi.org/10.23880/oajar-16000353.

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This paper is a policy brief regarding the application of the Artificial Insemination (AI) as a mode of reproductive technology in Lanao del Sur. Lanao del Sur is one of the provinces in the Bangsamoro Autonomous Region in Muslim Mindanao (BARMM), the dwelling of Meranao tribes who practice Islam as their religion. The province has favorable climatic conditions for agricultural productions both in crops and animals’ production. Lanao del Sur is a landlocked province and is agriculturally rich having a well-suiting climate and extensively arable land, and it has a growing inventory of livestock

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Pillay, Anton Michael. "Artificial Intelligence's (AI) pro-US Foreign Policy Stance – A New Global Security Challenge." NETSOL: New Trends in Social and Liberal Sciences 10, no. 1 (2025): 1–17. https://doi.org/10.24819/netsol2025.1.

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The ever-increasing intertwining of technologies with the critical functioning of societies is exposing populations to new threats. One threat is Artificial Intelligence's (AI) prominent, if not central, role in advancing American hegemony via its colonization of the digital world; an agenda significantly advanced with the second Trump administration. As AI aligns itself with the White House, American Hegemony, and thus US Foreign Policy (FP), global security has considerable implications that require closer inspection. Using case studies from Israel's war on Gaza, climate change skepticism, a

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Mishra, Devendra. "Indian Pediatrics’ Policy Regarding Artificial Intelligence (AI) — Enabled Large Language Models." Indian Pediatrics 60, no. 3 (2023): 171. http://dx.doi.org/10.1007/s13312-023-2825-1.

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Tan, Zhian. "International Comparisons and Implications for Regulatory Policy and Management of Artificial Intelligence." Highlights in Science, Engineering and Technology 138 (May 11, 2025): 226–31. https://doi.org/10.54097/qh4akg49.

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With the rapid development of technology, artificial intelligence is becoming an important grip on industrial innovation and an important driver of new quality productivity. However, technological progress also brings challenges such as ethical issues and security issues. The safety and controllability of AI technology is an important part of scientific and technological security, and effective governance and regulation of AI has become a global consensus, while the European Union, the United States and the United Kingdom have been at the forefront of international regulation of AI. From a pol

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Cherkashchenko, Oleh. "US policy regarding the Franco-Korean conflict of 1866." Bulletin of Luhansk Taras Shevchenko National University, no. 3 (362) (2024): 186–98. http://dx.doi.org/10.12958/2227-2844-2024-3(362)-186-198.

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In the article comprehensively examines the process of formulating the Korean policy of the USA in the 1860-s, aimed at the «opening» of the Joseon state to foreign commerce. It is noted that this course was a direct continuation of the strategy, which passed the initial public test in the middle of the ХІХ-th century, during the violent «opening» of Japan. Examining the process of formulation of Washington's policy towards the Korean state of Joseon, the author proves that the reason for interference in Seoul's internal affairs was oppression and persecution by the «isolationist» government o

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Zagaynov, Mikhail R. "Russia’s political and legal experience regarding the use of Artificial Intelligence in domestic and foreign policy." Sociopolitical Sciences 15, no. 1 (2025): 110–18. https://doi.org/10.33693/2223-0092-2025-15-1-110-118.

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Scientific and technical development of Russia does not stand still. In recent years, we have been talking about the use of artificial intelligence (AI) in all spheres of life in Russia, including politics. In his article, the author notes the stages the country has gone through in its desire to streamline and develop rules and laws for the use of AI in political management. The author aims to analyze the political and legal experience of Russia in relation to the use of artificial intelligence in domestic and foreign policy. The author comes to the conclusion that in recent years there has be

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López de Letona, Javier Torre de Silva y. "The Right to Scrap Data on the Internet: From the US Case hiQLabs, Inc. v. LinkedIn Corp. to the ChatGPT Scraping Cases: Differences Between US and EU Law." Global Privacy Law Review 5, Issue 1 (2024): 5–22. http://dx.doi.org/10.54648/gplr2024001.

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Data scraping is of the essence for generative artificial intelligence (AI), such as ChatGPT, as the data needed for AI training are in most cases obtained by this means. The first litigations regarding data scraping for training of generative AI systems are starting now. It is therefore relevant reviewing the case Law and regulation regarding data scraping, including the United States (US) Court of Appeals of the Ninth Circuit in the hiQ v. LinkedIn case. This case reveals the important differences between the US Law and the European Union (EU) (and United Kingdom (UK)) Law under several poin

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Revolusi, Prabu, and Radians Krisna Febriandy. "Developing AI Regulations in Indonesia: Policy Recommendations Based on Comparative Policy Analysis from the European Union, the United States, and Singapore." Jurnal Indonesia : Manajemen Informatika dan Komunikasi 6, no. 2 (2025): 1035–49. https://doi.org/10.63447/jimik.v6i2.1380.

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Artificial intelligence (AI) is increasingly becoming the main driver of digital transformation in various sectors such as education, health, and finance. However, this development raises regulatory challenges, particularly regarding privacy protection, algorithm transparency, and AI usage ethics. Indonesia, with a high level of technology adoption but without a specific legal framework, faces the risk of misuse of this technology. This study uses a literature review and a comparative policy analysis approach to examine AI regulations in the European Union, the United States, and Singapore. Th

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Rahmatillah, Raihan, and Sanusi Sanusi. "PATENT PROTECTION FOR ARTIFICIAL INTELLIGENCE: A COMPARATIVE STUDY OF INDONESIA AND THE UNITED STATES." Student Journal of International Law 4, no. 1 (2024): 42–56. https://doi.org/10.24815/sjil.v4i1.31473.

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This study examines the patent protection of artificial intelligence (AI) under the laws of Indonesia and the United States, with a particular focus on the legal ambiguities surrounding the patentability of computer programs. The Indonesian Patent Act excludes mere computer programs from patent eligibility, but its explanatory notes suggest exceptions that create legal uncertainty. Similarly, the US Patent Act lacks explicit provisions addressing computer programs, leading to uncertainty regarding AI patent protection. Employing a normative legal research methodology and a comparative approach

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Leite, Iolanda, and Anuj Karpatne. "Welcome to AI matters 6(3)." AI Matters 6, no. 3 (2020): 3–4. http://dx.doi.org/10.1145/3446243.3446244.

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Welcome to the last issue of this year's AI Matters Newsletter! We start with a report on upcoming SIGAI Events and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Todd Neller introduces the next AAAI/EAAI-2022 mentored undergraduate research challenge: AI-Assisted Game Design (AIAGD). We then bring you our regular Policy column, where Larry Medsker covers ongoing discussions on AI policy, this time with a special focus on Europe and the US. Finally, we close with two article contributions. The first article is by our former co-editor

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Yao, Ziyu, and Anuj Karpatne. "Welcome to AI Matters 9(3)." AI Matters 9, no. 3 (2023): 3. http://dx.doi.org/10.1145/3626487.3626488.

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Welcome to the third issue of this year's AI Matters Newsletter. In this issue, we will summarize the achievement of SIGAI in the past year (July 1, 2022 --- August 30, 2023). This annual report will highlight some of the many activities we have completed as a SIG, hoping to provide inspiration for members who wish to get more involved. This issue will also highlight the "AI Policy Matters" column by Dr. Larry Medsker at George Washington University. In this column, Dr. Medsker summarized an update on the ACM US Technology Policy Committee (USTPC) and introduced the TechBrief series at ACM. We

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