Bibliografias temáticas / Artificial intelligence in governance

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Literatura científica selecionada sobre o tema "Artificial intelligence in governance"

Autor: Grafiati

Publicado: 7 de junho de 2025

Última modificação: 2 de agosto de 2025

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Artigos de revistas sobre o assunto "Artificial intelligence in governance"

Al Dajeh, Bakhit Moh’d. "Artificial Intelligence Governance." Journal of Ecohumanism 3, no. 4 (2024): 300–313. http://dx.doi.org/10.62754/joe.v3i4.3515.

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Research on AI governance is important towards potentially useful and constraining affordable misuse, reduce new risks and economic trends that threaten to disrupt public political and economic trends, and drive off target as interest in advanced AI systems and the norms, focal points, and use of new AI research are potentially transformative and governance institutions aim to prevent. Potential public benefits from policy community re-using AI research are enormous, including reduced economic instability. A fundamental challenge in AI governance is a cognitive framing challenge: governing AI

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Taeihagh, Araz. "Governance of artificial intelligence." Policy and Society 40, no. 2 (2021): 137–57. http://dx.doi.org/10.1080/14494035.2021.1928377.

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Mannes, Aaron. "Governance, Risk, and Artificial Intelligence." AI Magazine 41, no. 1 (2020): 61–69. http://dx.doi.org/10.1609/aimag.v41i1.5200.

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Artificial intelligence, whether embodied as robots or Internet of Things, or disembodied as intelligent agents or decision-support systems, can enrich the human experience. It will also fail and cause harms, including physical injury and financial loss as well as more subtle harms such as instantiating human bias or undermining individual dignity. These failures could have a disproportionate impact because strange, new, and unpredictable dangers may lead to public discomfort and rejection of artificial intelligence. Two possible approaches to mitigating these risks are the hard power of regul

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Krotova, Margarita K. "Artificial Intelligence in Corporate Governance." Energy Law Forum, no. 2 (2024): 39–45. http://dx.doi.org/10.61525/s231243500031370-5.

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The prevalent artificial intelligence (AI) applications of today merely exemplify the full potential of artificial intelligence in the business realm. Artificial intelligence is poised to assume a general role in the management of companies, as it is increasingly being used as a tool to support the administrative work and decision-making of directors and managers. While the appointment of a robotic director may still seem like science fiction, the widespread use of artificial intelligence in corporate governance has proven to streamline the decision-making process. In general, corporate laws a

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Kshetri, Nir. "Economics of Artificial Intelligence Governance." Computer 57, no. 4 (2024): 113–18. http://dx.doi.org/10.1109/mc.2024.3357951.

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Ustahaliloğlu, Mustafa Kenan. "Artificial intelligence in corporate governance." Corporate Law and Governance Review 7, no. 1 (2025): 123–34. https://doi.org/10.22495/clgrv7i1p11.

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Artificial intelligence (AI) has transformed corporate governance, offering unparalleled opportunities for efficiency and decision-making and raising a host of complex legal questions. This article explores the use of AI in corporate governance, addressing the changing role of AI, ethical and legal issues, questions of liability and accountability, considerations of intellectual property, and data privacy issues (Dastani & Yazdanpanah, 2023). The research explores why this topic is of paramount importance, given the increasing adoption of AI in the corporate sector, and identifies the rese

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Hasan, A. K. M. Kamrul. "Governance of Generative Artificial Intelligence." International Journal of Knowledge Management 21, no. 1 (2025): 1–21. https://doi.org/10.4018/ijkm.383061.

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The field of knowledge management and knowledge management systems is evolving and dynamic. In the era of developed information technology systems, the dynamics of knowledge creation and dissemination have also changed. Generative artificial intelligence (GenAI)—an embedded entity in the knowledge management system—has become a prominent area of research nowadays, while accountability, transparency, and ethics are common research agendas in institutional economics related to GenAI. The research in this paper has investigated the convictions behind GenAI adoption and how to develop a GenAI gove

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Mahima, Gupta. "Artificial Intelligence: Issues & Challenges." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 1 (2019): 35–37. https://doi.org/10.5281/zenodo.2536436.

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In an environment of growing technology, it is important to understand &bdquo;Artificial Intelligence". It is a buzz word today in technology sphere. This is being used in improving efficiency without changing structure of an established process. This process can be imparting education at any level. Artificial Intelligence (AI) is best used during e-Governance (it can be in business, manufacturing or education). E-Governance best used can be in education at any level. Today India is one of the countries in the world in use of internet. It is a known fact that many Higher education institutions

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Zhang, Haoming. "Research and Practical Exploration of New Models of Social Governance in the Age of Artificial Intelligence." SHS Web of Conferences 179 (2023): 01017. http://dx.doi.org/10.1051/shsconf/202317901017.

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With the rapid development of artificial intelligence, social governance is facing new challenges and opportunities. This study aims to explore new models of social governance in the era of artificial intelligence, in order to contribute to social stability and development. Through literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence of artificial intelligence. literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence

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Turluev, Rizvan, and Laura Hadjieva. "Artificial Intelligence in Corporate Governance Systems." SHS Web of Conferences 93 (2021): 03015. http://dx.doi.org/10.1051/shsconf/20219303015.

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The presence of a direct causal relationship between management decisions and the analytical and research role of information allows us to prove the strategic importance of information resources. Typically, the need for data is considered at the management level of a company or organization. This position indicates the unambiguity of the confirmation regarding the results of the analyzed data and the possibility of their monetization. Information data is a kind of fundamental basis, demanded by the key structural links of any company. Information serves as an effective identifier of the compan

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Teses / dissertações sobre o assunto "Artificial intelligence in governance"

Fatima, Samar. "Mapping artificial intelligence affordances for the public sector." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235926/1/Samar%2BFatime%2BThesis.pdf.

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This thesis explores the affordances of artificial intelligence (AI) for the public sector. The thesis consists of three studies that answer what, why and how questions of AI affordance actualization in public sector using a combination of primary and secondary data sources. In this thesis, the affordance theory lens is used to explore AI affordance perception and actualization for the public sector through three related studies. The perception of AI affordance is investigated in the first two studies. The third study designed and evaluated artefact for public agencies to actualize AI affordan

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Alaieri, Fahad. "Ethics in Social Autonomous Robots: Decision-Making, Transparency, and Trust." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37941.

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Autonomous decision-making machines – ranging from autonomous vehicles to chatbots – are already able to make decisions that have ethical consequences. If these machines are eventually deployed on a large scale, members of society will have to be able to trust the decisions that are made by these machines. For these machines to be trustworthy, their decisions must be overseen by socially accepted ethical principles; moreover, these principles and their role in machine decision-making must be transparent and explainable: it must be possible to explain why machine decisions are made and such exp

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An, Yinan. "Building Smart Cities and Intelligent Societies in Australia with the Aid of Internet of Things, Big Data and Artificial Intelligence." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23029.

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Countries around the world are facing urban planning challenges in fast-growing areas. As a developed country, Australia has a sound social system, with laws, rules and regulations. Rapid growth has brought new development opportunities, but also accompanied by serious social planning and decision-making issues. In some fast-growing areas, investments for infrastructure cannot keep up with the rapid population growth due to inaccurate data and other factors. As a result, sometimes it’s becoming very hard and challenging for the government to make the best decision for investments in order to

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Singye, Jigme. "Artificial intelligence and adaptive governance in the technical and vocational education and training sector in Bhutan: A case study." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2702.

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Artificial Intelligence (AI) is an emerging area of research on organisational change. Due to its self-learning ability, AI can drive and create changes in the existing operating models of organisations that are hard to predict and could lead to disruptive consequences for organisations and societies. Further, disruptions arising from emerging technologies such as AI are amplified due to the cross-interactions and complementary effects of different technologies in the era of the Fourth Industrial Revolution. This rapid and yet unpredictable advancement in many emerging technologies has contrib

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Gandra, Nuno. "A inteligência artificial na 4ª revolução industrial e os desafios à global governance." Master's thesis, Academia da Força Aérea, 2020. http://hdl.handle.net/10400.26/39750.

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A Inteligência Artificial tornou-se no novo motor da quarta revolução industrial para o desenvolvimento económico e social, trazendo oportunidades relevantes em domínios como a medicina e saúde, educação, transporte, sustentabilidade ambiental, entre outros. Os riscos, no entanto, também se apresentam, como potencialmente perigosos por se tratar de uma tecnologia disruptiva capaz de afetar os governos, a segurança económica, a estabilidade social e até a global governance; podendo contribuir para gerar alterações na estrutura do emprego, condicionar a lei e a ética social, violar a privacidade

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Haidar, Ahmad. "Responsible Artificial Intelligence : Designing Frameworks for Ethical, Sustainable, and Risk-Aware Practices." Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASI008.pdf.

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L'intelligence artificielle (IA) transforme rapidement le monde, redéfinissant les relations entre technologie et société. Cette thèse explore le besoin essentiel de développer, de gouverner et d'utiliser l'IA et l'IA générative (IAG) de manière responsable et durable. Elle traite des risques éthiques, des lacunes réglementaires et des défis associés aux systèmes d'IA, tout en proposant des cadres concrets pour promouvoir une Intelligence Artificielle Responsable (IAR) et une Innovation Numérique Responsable (INR).La thèse commence par une analyse approfondie de 27 déclarations éthiques mondia

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Le, Roux Theo. "The value of context awareness within information technology audit and governance." Thesis, Cape Peninsula University of Technology, 2020. http://hdl.handle.net/20.500.11838/3012.

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Thesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2020<br>A shared common understanding or context awareness (CA) of IT Audit and Governance among all the internal stakeholders of a business remains an important factor. This context awareness is needed between the business itself, the IT department, and the Audit and Risk functions of the business. The research problem states that there is a lack of shared context awareness among all stakeholders when conducting IT audits and implementing IT Governance. To answer the research questions, a case study rese

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Parviala, Tuulia. "EU Entering the Era of AI : A Qualitative Text Analysis on the European Union’s Policy on Artificial Intelligence." Thesis, Uppsala universitet, Statsvetenskapliga institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-374160.

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In December 2018, two documents central for the European Union’s artificial intelligence policy were released: A Coordinated Plan on Artificial Intelligence by the European Commission, and the High-Level Expert Group on Artificial Intelligence’s Draft Ethics Guidelines for Trustworthy AI. These two documents are both an internal signal to the member states, but also an international sign about the role the EU aspires to take within the emerging AI development. Moreover, the documents are the research material used for this paper. The question this thesis seeks to answer is: “What role(s) does

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Ruberg, Nicolaas. "Bert goes sustainable: an NLP approach to ESG financing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24787/.

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Environmental, Social, and Governance (ESG) factors are a strategic topic for investors and financing institutions like the Brazilian Development Bank (BNDES). Currently, the bank’s experts are developing a framework based on those factors to assess companies' sustainable financing. We identify an opportunity to use Natural Language Processing (NLP) in this development. This opportunity arises from the observation that a critical document to the ESG analysis is the company annual activity report. This document undergoes a manual screening, and later it is decomposed, and its parts are redirect

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Lindkvist, Emilie. "Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems." Doctoral thesis, Stockholms universitet, Stockholm Resilience Centre, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-122395.

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As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. The first line of research focuses on the use of learning-by-doing (LBD) for managing a renewable resource, exemplified by a fish stock, and explores LBD in a theoretical model using artificial intelligence (Paper I and II). The second line of research focuses on the emergence of different fo

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Mais fontes

Livros sobre o assunto "Artificial intelligence in governance"

Wiesmüller, Sabine. The Relational Governance of Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25023-1.

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Floridi, Luciano, ed. Ethics, Governance, and Policies in Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81907-1.

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Gao, Qiqi, and Jiteng Zhang. Artificial Intelligence Governance and the Blockchain Revolution. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9211-9.

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Gireesan, K., and Jos Chathukulam. Democracy, Leadership and Governance – Application of Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7735-2.

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Marwala, Tshilidzi. The Balancing Problem in the Governance of Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-9251-1.

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Montasari, Reza, Hamid Jahankhani, and Anthony J. Masys, eds. Navigating the Intersection of Artificial Intelligence, Security, and Ethical Governance. Springer Nature Switzerland, 2025. http://dx.doi.org/10.1007/978-3-031-72821-1.

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Bharathy, A. M. Viswa, Dac-Nhuong Le, and P. Karthikeyan. Applications of Blockchain and Artificial Intelligence in Finance and Governance. CRC Press, 2024. http://dx.doi.org/10.1201/9781003518365.

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Ouaissa, Mariyam, Mariya Ouaissa, Tarik Hidar, Ram Chandra Sachan, Akhil Mittal, and Sanjay Poddar. Information Security Governance using Artificial Intelligence of Things in Smart Environments. CRC Press, 2025. https://doi.org/10.1201/9781003606307.

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Bozkuş Kahyaoğlu, Sezer, ed. The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume I. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6811-8.

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Bozkuş Kahyaoğlu, Sezer, ed. The Impact of Artificial Intelligence on Governance, Economics and Finance, Volume 2. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8997-0.

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Capítulos de livros sobre o assunto "Artificial intelligence in governance"

Zekos, Georgios I. "Artificial Intelligence Governance." In Economics and Law of Artificial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64254-9_4.

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Mutambara, Arthur G. O. "Applications of AI in Governance." In Artificial Intelligence. CRC Press, 2025. https://doi.org/10.1201/9781003511014-16.

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Ulnicane, Inga, William Knight, Tonii Leach, Bernd Carsten Stahl, and Winter-Gladys Wanjiku. "Governance of Artificial Intelligence." In The Global Politics of Artificial Intelligence. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429446726-2.

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Singh, Tarnveer. "AI Governance." In Artificial Intelligence and Ethics. CRC Press, 2024. http://dx.doi.org/10.1201/9781003502708-27.

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Edwards, Rosalind, and Pamela Ugwudike. "Governance by Artificial Intelligence (AI)." In Governing Families. Routledge, 2023. http://dx.doi.org/10.4324/9781003080343-5.

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Tokmakov, M. A. "Artificial Intelligence in Corporate Governance." In Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60926-9_83.

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Kamolov, Sergey, and Kirill Teteryatnikov. "Artificial Intelligence in Public Governance." In Technology and Business Strategy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63974-7_9.

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Guo, Yanmei, Qianqian Gao, and Zheng Yin. "Data Governance for Artificial Intelligence." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4967-9_145.

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Chipato, Farai, and David Chandler. "Artificial Intelligence, Governance, and Race." In The Routledge Handbook of Artificial Intelligence and International Relations. Routledge, 2025. https://doi.org/10.4324/9781003518495-8.

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Stahl, Bernd Carsten. "Perspectives on Artificial Intelligence." In SpringerBriefs in Research and Innovation Governance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69978-9_2.

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AbstractA discussion of the ethics of artificial intelligence hinges on the definition of the term. In this chapter I propose three interrelated but distinct concepts of AI, which raise different types of ethical issues. The first concept of AI is that of machine learning, which is often seen as an example of “narrow” AI. The second concept is that of artificial general intelligence standing for the attempt to replicate human capabilities. Finally, I suggest that the term AI is often used to denote converging socio-technical systems. Each of these three concepts of AI has different properties

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Trabalhos de conferências sobre o assunto "Artificial intelligence in governance"

Thuraisingham, Bhavani, and Teena Thomas. "Social Media Governance and Fake News Detection Integrated with Artificial Intelligence Governance." In 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2024. http://dx.doi.org/10.1109/iri62200.2024.00048.

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Herrera, Framcisco. "Responsible Artificial Intelligence Systems: From Trustworthiness to Governance." In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2024. http://dx.doi.org/10.23919/date58400.2024.10546553.

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Dewi, Meta Amalya, Ford Lumban Gaol, Suhono Harso Supangkat, and Benny Ranti. "Artificial Intelligence and Data Governance in Online Learning." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10956494.

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Daniels, Owen J., Mina Narayanan, and Cole McFaul. "Analyzing the Global AI Governance Ecosystem." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00257.

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Ābelnīca, Kaspars, Guntis Petrovskis, Agris Vindecs, and Andrejs Romānovs. "IT Governance in the Artificial Intelligence Age: Trends and Practices." In 2024 IEEE 65th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS). IEEE, 2024. http://dx.doi.org/10.1109/itms64072.2024.10741935.

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Abokhoza, Reneh, Khawlah M. Al-Tkhayneh, Reema Al Qaruty, Samer Abdel Hadi, and Ziyad Kamel Ellala. "The Ethics of Applying Artificial Intelligence (AI) for Communication Governance." In 2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE, 2024. https://doi.org/10.1109/iccns62192.2024.10776312.

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Wang, David, Jun Meng, and Leilei Zhu. "World Models and Data Governance: Revolutionizing Data Management Through Artificial Intelligence." In 2024 International Conference on Artificial Intelligence of Things and Systems (AIoTSys). IEEE, 2024. https://doi.org/10.1109/aiotsys63104.2024.10780742.

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Li, Baohai, Jihong Song, and Hui Li. "Application of Artificial Intelligence in Power Data Governance and Quality Control." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00028.

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Watson, Eleanor. "Beyond Compute: A Weighted Framework for AI Capability Governance." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013128800003890.

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Chen, Yang, and Jian Meng. "Agility and Resilience: The Governance of Ethical Alienation in Police Artificial Intelligence." In 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2024. https://doi.org/10.1109/acait63902.2024.11021763.

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Relatórios de organizações sobre o assunto "Artificial intelligence in governance"

Brione, Patrick, and Devyani Gajjar. Artificial intelligence: ethics, governance and regulation. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/hs51.

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Zinn, Zach. On a More Comprehensive Governance of Artificial Intelligence. Just Tech, Social Science Research Council, 2024. http://dx.doi.org/10.35650/jt.3072.d.2024.

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Su, Fei, Vladislav Chernavskikh, and Wilfred Wan. Advancing Governance at the Nexus of Artificial Intelligence and Nuclear Weapons. Stockholm International Peace Research Institute, 2025. https://doi.org/10.55163/onlb7070.

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The rapid advancement of military artificial intelligence (AI), especially its potential integration into nuclear systems, presents significant risks to strategic stability and established deterrence practices. Despite these concerns, no dedicated governance framework currently exists to address the specific challenges of the AI–nuclear nexus. Existing initiatives have primarily focused on ensuring human control over nuclear decision-making. There are a number of state-led initiatives on the governance of military AI more broadly. They can be adapted to address the use of AI in nuclear weapons

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Vargas, Fernando, and Arturo Muente. Artificial Intelligence Framework for the Inter-American Development Group. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013377.

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Artificial intelligence (AI) has the potential to become a transformative general-purpose technology, reshaping economic, social, and institutional frameworks globally. The Inter-American Development Bank Group (IDBG) recognizes the urgency of fostering AI adoption in Latin America and the Caribbean to catalyze productivity, inclusion, and sustainable development. This document provides a high-level strategic framework to guide IDBGs interventions in advancing AI adoption and responsible use across the region. The document reviews key challenges facing the three dimensions of AI institutions a

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Ball, Kaitlin. Multilateral Technology Governance. Institute of Development Studies, 2025. https://doi.org/10.19088/k4dd.2025.035.

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The global technological landscape—especially the digital landscape—is changing rapidly. This rapid rate of change presents new opportunities and new challenges, especially considering the cross-border effects of these technologies. The report will present governance mechanisms by technology, placing a particular focus on AI governance. Noting that the terms tangible and intangible technologies are terms of art generally applied in the non-proliferation context, they are useful beyond the non?proliferation realm and will be used to organize this report. This report will sort technologies into

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Goswami, Arijit. The role of artificial intelligence in fostering multifaceted cooperation among BRICS nations. APRI - Africa Policy Research Private Institute gUG (haftungsbeschränkt)., 2024. https://doi.org/10.59184/sa.056.

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Chernavskikh, Vladislav. Nuclear Weapons and Artificial Intelligence: Technological Promises and Practical Realities. Stockholm International Peace Research Institute, 2024. http://dx.doi.org/10.55163/vbqx6088.

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Resumo:

Recent advances in the capabilities of artificial intelligence (AI) have increased state interest in leveraging AI for military purposes. Military integration of advanced AI by nuclear-armed states has the potential to have an impact on elements of their nuclear deterrence architecture such as missile early-warning systems, intelligence, surveillance and reconnaissance (ISR) and nuclear command, control and communications (NC3), as well as related conventional systems. At the same time, a number of technological and logistical factors can potentially limit or slow the adoption of AI in the nuc

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Christie, Lorna. AI in policing and security. Parliamentary Office of Science and Technology, 2021. http://dx.doi.org/10.58248/hs27.

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Müller, Gustavo, Maria Martins, Meltem Muftuler-Bac, et al. Experiences of Joined-Up Security, Defence and Intelligence Policies: Drawing Lessons from Multi-Layer Governance Systems. EsadeGeo. Center for Global Economy and Geopolitics, 2023. https://doi.org/10.56269/202302gm.

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This working paper examines cases of non-EU countries with complex governance structures that, like the European Union, have difficulties coordinating their joined-up policies in the areas of security, intelligence and defence. Its first part discusses the challenges of joined-up action for the European Union's external action, with a focus on coherence. The second part analyses cases of policy responses in Brazil, the United States and Turkey. It describes and discusses how these countries’ governments deal with coordination and implementation problems in the areas of migration management (Br

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