Relevant bibliographies by topics / AI Capacity Building

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  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'AI Capacity Building'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "AI Capacity Building"

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Ramingwong, Sakgasem, Apichat Sopadang, Tanyanuparb Anantana, Runchana Sinthavalai, and Salinee Santiteerakul. "Industrial research and development capacity building." Revista Amazonia Investiga 13, no. 81 (2024): 9–23. http://dx.doi.org/10.34069/ai/2024.81.09.1.

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Thailand faces significant challenges in aligning academic research with industrial needs and fostering robust R&D capabilities within businesses. The Industrial Research and Development Capacity Building (IRDCap) initiative was implemented to address these issues and enhance Thailand's innovation ecosystem. The program employs a dual approach: Train-the-Trainer (TTT) to develop academic expertise, and IRDCap Consulting to provide tailored support to businesses. It utilizes a comprehensive framework for developing R&D blueprints and roadmaps, supported by a central digital platform for
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Jamil, Khalid, Wen Zhang, Aliya Anwar, and Sohaib Mustafa. "Exploring the Influence of AI Adoption and Technological Readiness on Sustainable Performance in Pakistani Export Sector Manufacturing Small and Medium-Sized Enterprises." Sustainability 17, no. 8 (2025): 3599. https://doi.org/10.3390/su17083599.

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This study examines the impact of technological integration on sustainable performance in Pakistani manufacturing SMEs from the export sector, focusing on the mediating role of employee capacity building and the moderating role of organizational learning, drawing on dynamic capabilities theory. Data were collected from manufacturing SMEs in Pakistan via a structured questionnaire, and structural equation modeling (SEM) was employed using Smart-PLS (4.1) for analysis. The results reveal that both AI adoption and technological readiness significantly enhance employee capacity building, which, in
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Pedersen, Maja, Suzanne (Christopher) Held, and Blakely Brown. "Building Capacity to Increase Health Promotion Funding to American Indian Communities." Health Promotion Practice 17, no. 6 (2016): 907–14. http://dx.doi.org/10.1177/1524839915622195.

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Foundations and government agencies have historically played a critical role in supporting community-based health promotion programs. Increased access to health promotion funding may help address significant health issues existing within American Indian (AI) communities, such as childhood obesity, type 2 diabetes, and cardiovascular disease. Understanding the capacity of AI communities to successfully apply for and receive funding may serve to increase resources for health promotion efforts within AI communities in Montana. This exploratory qualitative study completed 17 semistructured intervi
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Gryshchenko, Iryna, Yurii Bondar, Svitlana Serohina, Irina Bodrova, and Olha Stohova. "Building the capacity of territorial communities by revealing their latent potential." Revista Amazonia Investiga 11, no. 53 (2022): 45–58. http://dx.doi.org/10.34069/ai/2022.53.05.5.

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Decentralization is a common component of public finance development and reform strategies through efficiency, better governance and accountability. It has become particularly important for the local governments to recognize and test policies and practices that promote building the capacity of local communities by revealing their latent potential. The aim of the article was to identify and describe the current state of the decentralization process in Ukraine and in the EU, the problems and achievements of local communities. Observation and comparison were the leading methodological tools. The
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Huang, Huakun, Dingrong Dai, Longtao Guo, Sihui Xue, and Huijun Wu. "AI and Big Data-Empowered Low-Carbon Buildings: Challenges and Prospects." Sustainability 15, no. 16 (2023): 12332. http://dx.doi.org/10.3390/su151612332.

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Reducing carbon emissions from buildings is crucial to achieving global carbon neutrality targets. However, the building sector faces various challenges, such as low accuracy in forecasting, lacking effective methods of measurements and accounting in terms of energy consumption and emission reduction. Fortunately, relevant studies demonstrate that artificial intelligence (AI) and big data technologies could significantly increase the accuracy of building energy consumption prediction. The results can be used for building operation management to achieve emission reduction goals. For this, in th
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Alemipasand, Somayeh, and Elham Farahani. "Capacity Building for the Implementation of Artificial Intelligence in Public Organizations." Journal of Technology in Entrepreneurship and Strategic Management 3, no. 5 (2024): 15–36. https://doi.org/10.61838/kman.jtesm.3.5.2.

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In recent years, artificial intelligence (AI) has emerged as a remarkable phenomenon, creating a massive transformation globally and becoming a necessary condition for the development and progress of both private and public organizations. The successful implementation of any project requires capacity building, which involves identifying needs, challenges, capabilities, and strengthening systems along the path to development. Accordingly, the aim of this research is to identify the necessary capacities for the implementation of AI in public organizations and to propose a comprehensive model for
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Altinay, Zehra, Fahriye Altinay, Ramesh Chander Sharma, et al. "Capacity Building for Student Teachers in Learning, Teaching Artificial Intelligence for Quality of Education." Societies 14, no. 8 (2024): 148. http://dx.doi.org/10.3390/soc14080148.

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The future of education relies on the integration of information technologies, emphasizing the importance of equity and inclusiveness for quality education. Teacher education programs are essential for fostering qualified educators for the future. Integrating AI in education is crucial to ensure inclusivity and comprehensive services for all. This study aims to evaluate student teachers’ perceptions of using AI in learning and teaching, and to provide suggestions for enhancing sustainable education through information technologies. A qualitative research design was adopted to gather perception
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Johnson, Mark William, Martie Van Tongeren, and Hua (Kim) Wei. "O-040 TOWARDS AN AI-INFORMED CAPACITY-BUILDING FRAMEWORK FOR OCCUPATIONAL HEALTH." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0517.

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Abstract The speed of development and variety of potential applications of Artificial Intelligence (AI) technology represents significant intellectual and practical challenges to practitioners and researchers in the field of health and safety at work. While these challenges are likely to dominate research agendas in the coming years, knowledge and expertise about the technology among practitioners in the field of occupational health is currently limited. The challenge is to raise capacity within the occupational health sector so as to establish a coherent and defensible approach to judgment an
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Soomro, Manzoor Hussain, and Mirza Abdul Aleem Baig. "AI for Sustainable Development in the Belt and Road Countries - Need for Capacity Building." Journal of Sustainable Development 17, no. 5 (2024): 43. http://dx.doi.org/10.5539/jsd.v17n5p43.

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All United Nations member countries are striving to achieve the Sustainable Development Goals (SDGs), with information and communication technologies (ICTs) playing a crucial role in accelerating the progress. However, there is a significant disparity in technological capacities between the least developed, developing, and developed nations. Leading countries maintain dominance in these technologies, creating a digital divide that redefines richness and poverty. The Belt and Road Initiative (BRI), launched by China in 2013, offers a beacon of hope for developing nations. Over the past decade,
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IRORITERAYE-ADJEKPOVU, Janice Imizuokena, and Emmanuel Ikechuku Abamba. "The Exploring AI capacity building programs in Nigerian higher education institutions: A study of curriculum design, faculty competence, and student engagement." GPH-International Journal of Educational Research 8, no. 4 (2025): 35–49. https://doi.org/10.5281/zenodo.15356893.

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Artificial Intelligence (AI) is transforming education globally, necessitating the integration of AI capacity-building programs in higher education institutions. This study explored the state of AI capacity building programs in Nigerian higher education institutions, focusing on curriculum design, faculty competence, and student engagement. A descriptive survey research design was adopted, and data were collected using a structured four-point Likert scale questionnaire. The population of the study comprised 79,668 staff from federal and state universities in Nigeria. the sample size for the st
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Books on the topic "AI Capacity Building"

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Dubber, Markus D., Frank Pasquale, and Sunit Das, eds. The Oxford Handbook of Ethics of AI. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190067397.001.0001.

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This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology tod
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BAHADUR TIWARI, BHUPENDRA, E. ESWARA REDDY, and SAM X. KINGSLEY JOSHUA. INNOVATIVE HUMAN RESOURCE PRACTICES AND EMPLOYEE ENGAGEMENT WITH SPECIAL REFERENCE TO IT SECTOR. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-79-2.

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The industry of information technology in India includes the following services namely IT and software services, IT enabled services, hardware (engineering) services, and e-businesses/e-governance associated with government services. IT services are outsourcing of software support/installation, processing services, systems integration, exports of products and services, and training/education of the information technology science. The significant improvements in the industry have brought about a vital need for systematic process of managing the majority of employees in the IT industry. There wa
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Book chapters on the topic "AI Capacity Building"

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Sayles, James. "Capacity Building for AI Actors." In Principles of AI Governance and Model Risk Management. Apress, 2024. https://doi.org/10.1007/979-8-8688-0983-5_16.

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Kilburg, Donald. "Building AI Capacity and an AI Mindset." In AI Use Cases for Diplomats. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003612308-12.

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Shi, Yichao, and Chunlan Wang. "Optimizing Ionic Style Facade Creation by Integrating Shape Grammars into Stable Diffusion." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_26.

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Abstract Within the domain of AI-driven architectural design, the task of faithfully depicting specific architectural styles, especially in the design of building facades, continues to be a substantial difficulty. This work introduces a novel method that combines shape grammars, which is known for representing design rules, with stable diffusion models to tackle this problem. The specific focus of this study is on the Ionic style. The research pioneers a way to generate building facades by merging the technological capabilities of AI models like LoRA and Dream-Booth with the image-generating a
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Kimmig, Andreas, Jieyang Peng, and Jivka Ovtcharova. "Capacity Building for Digital Work – A Case from Sino-German Cooperation." In New Digital Work. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26490-0_15.

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AbstractThe way humans work is constantly changing. This has always been the case, especially in dynamic environments. In the context of Industry 4.0 and the Internet of Things (IoT), collaborative platforms, accelerated by Artificial Intelligence (AI) technologies, give rise to new automation opportunities of complex and previously labor-intensive tasks, while also creating new business models for multiple stakeholders.Due to accelerated product innovation, the manufacturing industry needs to be able to generate solutions in a timely manner and quickly move them into production according to c
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Labanava, Alena, Richard Michael Dreyling, Marzia Mortati, Innar Liiv, and Ingrid Pappel. "Capacity Building in Government: Towards Developing a Standard for a Functional Specialist in AI for Public Services." In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8069-5_34.

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Kurç, Çağlar. "Enabling Technology of Future Warfare: Turkey’s Approach to Defense AI." In Contributions to Security and Defence Studies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58649-1_15.

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AbstractDefense artificial intelligence (AI) development in Turkey focuses primarily on improving the capabilities of autonomous systems, sensors, and decision support systems because Turkey believes autonomous systems are the future of modern warfare. Hence, autonomous systems, mainly uncrewed aerial vehicles (UAVs), have remained a priority in Turkish AI development since 2011 and have expanded to include all types of uncrewed vehicles. Increasing autonomous systems’ capability in intelligence gathering and fighting, as well as enabling swarm operations, are prioritized in developing defense
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Swan, Jerry, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, and Bas Steunebrink. "Introduction." In The Road to General Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08020-3_1.

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AbstractThe rise of civilization is synonymous with the creation of tools that extend the intellectual and physical reach of human beings [133]. The pinnacle of such endeavours is to replicate the flexible reasoning capacity of human intelligence within a machine, making it capable of performing useful work on command, despite the complexity and adversity of the real world. In order to achieve such Artificial Intelligence (AI), a new approach is required: traditional symbolic AI has long been known to be too rigid to model complex and noisy phenomena and the sample-driven approach of Deep Lear
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Villamor Medina, Eduardo, Theodora Tsikrika, Piero Fraternali, et al. "PERIVALLON: Improved Intelligence Picture and Operational Capacities to Combat Organised Environmental Crime." In Security Informatics and Law Enforcement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62083-6_16.

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AbstractPERIVALLON is a Horizon Europe co-funded Innovation Action project, entitled ‘Protecting the European territory from organised environmental crime through intelligent threat detection tools’ that started in December 2022 and focuses on combatting organised environmental crime by: (1) delivering an environmental crime observatory aiming to provide an improved and comprehensive intelligence picture of organised environmental crime, (2) developing an environmental crime detection and investigation platform at the forefront of technological innovation and (3) improving capacity building an
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Skulimowski, Andrzej M. J. "Visions of a Future Research Workplace Arising from Recent Foresight Exercises." In Progress in IS. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66262-2_11.

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AbstractThe results of recent foresight projects reveal the impact of future ICT tools on the practice of scientific research. This paper presents several aspects of the process of building scenarios and trends of selected advanced ICT technologies. We point out the implications of emerging global expert systems (GESs) and AI-based learning platforms (AILPs). GESs will be capable of using and processing global knowledge from all available sources, such as databases, repositories, video streams, interactions with other researchers and knowledge processing units. In many scientific disciplines,
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Tebala, Domenico, Domenico Marino, and Antonella Bianchino. "A Composite Indicator to Describe Digital Technology in Europe." In Lecture Notes in Networks and Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34211-0_6.

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AbstractThe “Digital Europe” program is a central element of the Commission's comprehensive response to the challenge of digital transformation and is included in the proposal on the Multiannual Financial Framework (MFF) for the period 2021–2027. Its aim is to provide a spending instrument adapted to the operational requirements of capacity building in the areas identified by the European Council, as well as to exploit the synergies between them. The program aims, among other things, to develop and strengthen basic skills in artificial intelligence, such as data resources and archives of artif
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Conference papers on the topic "AI Capacity Building"

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Alghowinem, Sharifa, Aikaterini Bagiati, Andrés F. Salazar-Gómez, and Cynthia Breazeal. "Developing AI Leadership Competencies While Supporting Organization Capacity Building." In 2024 IEEE Frontiers in Education Conference (FIE). IEEE, 2024. https://doi.org/10.1109/fie61694.2024.10893457.

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Tzouvaras, Marios, Michalis Mavrovouniotis, Renos Votsis, et al. "Enhancing disaster risk reduction through artificial intelligence: capitalizing on the capacity building activities of the AI-OBSERVER twinning project." In Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), edited by Silas C. Michaelides, Diofantos G. Hadjimitsis, Chris Danezis, et al. SPIE, 2024. http://dx.doi.org/10.1117/12.3037135.

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Boulden, Danielle, Judith Uchidiuno, Jessica Vandenberg, Veronica Cateté, Wookhee Min, and Bradford Mott. "Building Capacity for K-12 AI Education: A Non-Computer Science Teacher’s Experience." In 19th International Conference of the Learning Sciences (ICLS) 2025. International Society of the Learning Sciences, 2025. https://doi.org/10.22318/icls2025.896881.

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AlFedaghi, Hadla S. "Digital Dexterity: Building Capabilities in the Era of AI." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222277-ms.

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Technology is synonymous with change. From the industrial revolution to the digital age, each technological advancement has reshaped the way we work, live, and interact. Today, we stand on the precipice of a new era, driven by artificial intelligence (AI) and digital transformation. Establishments that fail to adapt to these changes risk obsolescence, while those that embrace digital dexterity—the ability to adapt, adopt, and use technology for better outcomes—position themselves for sustained success. Digital dexterity is defined as the ambition and capacity to use technology for better busin
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Safley, Nick. "Artificial Connections: Finding the Architect’s Role in Text-to-Image Tectonics." In 112th ACSA Annual Meeting. ACSA Press, 2024. http://dx.doi.org/10.35483/acsa.am.112.30.

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Architects create images and representations of buildings to communicate construction and fabrication information. Construction necessitates utilizing mediating technologies to compress and communicate design information about material organization across space and time.1 Successful architectural design images embed material and construction knowledge needed to translate an idea into material. Whether joint lines in hand-drafted elevations imagining stone blocks or walls in a Revit model with embedded construction layers, the images architects produce for building require knowledge of complex
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Rodriguez, Lino. "Deep Genetic Programming." In LatinX in AI at International Conference on Machine Learning 2019. Journal of LatinX in AI Research, 2019. http://dx.doi.org/10.52591/lxai2019061512.

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We propose to develop a Deep Learning (DL) framework based on the paradigm of Genetic Programming (GP). The hypothesis is that GP non-parametric and non-differentiable learning units (abstract syntax trees) have the same learning and representation capacity to Artificial Neural Networks (ANN). In an analogy to the traditional ANN/Gradient Descend/Backpropagation DL approach, the proposed framework aims at building a DL alike model fully based on GP. Preliminary results when approaching a number of application domains, suggest that GP is able to deal with large amounts of training data, such as
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Yusubov, Fakhraddin, Miryusif Mirbabayev, Gulahmad Talibov, Ilham Aliyev, and Govhar Valiyeva. "The Adsorption of Heavy Metal Ions." In 2nd International Scientific-Practical Conference "Machine Building and Energy: New Concepts and Technologies". Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-9xbojo.

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The aim of the study is to research of the adsorption properties of heavy metal ions Pb2+, Cd2+ and Ni2+ from industrial wastewater. For the adsorption of heavy metal ions, natural clinoptilolite was used, which belongs to the Ai-Dag deposit of the Tovuz-Kazakh region of Azerbaijan. Isotherms and kinetic curves of adsorption of heavy metal ions Pb2+, Cd2+ and Ni2+ were determined. The dependence of the adsorption of heavy metal ions on the pH value is also shown. It was revealed that the separation process proceeds more intensively at pH values ​​of 5-6. It has been established that the maximu
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Stojanović, Katarina, Snežana Cico, and Radovan Pejanović. "Urban AI strategies based on the economic impacts of smart cities." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24068s.

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The way artificial intelligence systems are developed has major consequences for society as a whole. It is important how policy issues are resolved, ethical conflicts are reconciled, legal realities are resolved and how much transparency there is. It includes areas such as finance, national security, health care, criminal justice, transportation and smart cities. City governments are using AI to improve city service delivery. This research aims to define guidelines to help cities and local communities develop artificial intelligence systems that are consistent with inclusiveness and sustainabl
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M. Qasim Agha, Azwar, and Hawkar Qasim Birdawod. "The Impacts of AI in Project Management: Case Studies of Iraqi Governmental Projects." In 5th International Conference on Architectural and Civil Engineering Sciences (CIC-ICACE'25). Cihan University-Erbil, 2025. https://doi.org/10.24086/icace2025/paper.1610.

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Abstract- This study explores the transformative effects of Artificial Intelligence (AI) on project management within Iraqi governmental initiatives, focusing on infrastructure and development sectors. Through case studies and expert analyses, the research highlights AI's potential to enhance efficiency, accuracy, and sustainability in project execution. Findings indicate that AI applications in Iraq are most impactful during the design and planning phases, where they contribute to reducing costs, minimizing errors, and conserving resources. However, the implementation phase still relies heavi
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Legrand, Guillemette, Vincent Thornhill, and Isaac Clarke. "Spectral Plain: A case study for exploring the world-building potential of co-creative systems that combine text generation models with game mechanics." In 28th International Symposium on Electronic Art. Ecole des arts decoratifs - PSL, 2024. http://dx.doi.org/10.69564/isea2023-32-short-legrand-et-al-spectral-plain.

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SHORT PAPER. This paper describes the game installation ‘Spectral Plain’; introducing a case study of an interactive artwork that intersects algorithmic, sensing, and gaming technologies to explore new forms of generative world-building, which are different from the world-imaginations created by commercial and political narratives. Through this case study, we aim to explore how information technologies might embed specific socio-cultural beliefs. Here, we investigate the imaginaries created and disseminated through dominant representations of information technologies, while simultaneously sear
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Reports on the topic "AI Capacity Building"

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Puglisi, Anna, and Daniel Chou. China’s Industrial Clusters: Building AI-Driven Bio-Discovery Capacity. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20220012.

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China is banking on applying AI to biotechnology research in order to transform itself into a “biotech superpower.” In pursuit of that goal, it has emphasized bringing together different aspects of the development cycle to foster multidisciplinary research. This data brief examines the emerging trend of co-location of AI and biotechnology researchers and explores the potential impact it will have on this growing field.
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Readiness assessment methodology. A tool of the Recommendation on the Ethics of Artificial Intelligence. UNESCO, 2023. http://dx.doi.org/10.54678/yhaa4429.

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The Readiness assessment methodology (RAM) is a macro level instrument that will help countries understand where they stand on the scale of preparedness to implement AI ethically and responsibly for all their citizens, in so doing highlighting what institutional and regulatory changes are needed. The outputs of the RAM will help UNESCO tailor the capacity building efforts to the needs of specific countries. Capacity here refers to the ability to assess AI systems in line with the Recommendation, the presence of requisite and appropriate human capital, and infrastructure, policies, and regulati
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