Artificial Intelligence (AI)
Did you know that this collection also highlights ethical and sustainable considerations? Discover how AI can drive sustainable development and foster innovation for a better future.
Collection Contents
21 - 24 of 24 resultados
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United Nations E-Government Survey 2024
Accelerating Digital Transformation for Sustainable Development - With the addendum on Artificial Intelligence
Más MenosThis thirteenth edition of the United Nations E-Government Survey, released in 2024, provides a comprehensive assessment of the digital government landscape across all 193 Member States. The 2024 Survey highlights a significant upward trend in the development of digital government worldwide, with increased investment in resilient infrastructure and cutting-edge technologies. The global average value of the E-Government Development Index (EGDI) shows substantial improvement, with the proportion of the population lagging in digital government development decreasing from 45.0 per cent in 2022 to 22.4 per cent in 2024. Despite significant progress in digital government development, the EGDI averages for the African region, least developed countries, and small island developing States remain below the global average, underscoring the need for targeted efforts to bridge existing gaps. At the local level, the Survey continues to assess city portals using the Local Online Services Index (LOSI). The LOSI findings reflect steady progress but also highlight persistent disparities between national and local e-government performance, pointing to the need for focused initiatives to strengthen digital government at the municipal level. This edition introduces the new Digital Government Model Framework, providing countries with a comprehensive road map for the effective planning, implementation and assessment of digital government initiatives. A short addendum explores the integration of AI in digital government development, emphasizing the importance of maximizing benefits and minimizing risks to achieve balanced governance.
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Preparing to Seize Artificial Intelligence Opportunities With Strategic National Policies
UNCTAD Policy Brief No. 120
Más MenosDeveloping countries need to strengthen national readiness and design targeted policies in order to prepare for a world rapidly being reshaped by artificial intelligence and other frontier technologies. National competitiveness increasingly depends on science, technology and innovation (STI) and knowledge-intensive services. Some developing countries exhibit significant potential relative to their income levels; most need to design industrial and innovation policies that account for the role of knowledge-intensive services and the uncertainties surrounding research and development. It is also critical to consider the diffusion and direction of frontier technologies and their impact on the economy, and to adapt catch-up strategies accordingly. Developing countries need to quickly respond to the challenges posed by artificial intelligence, implementing policies that align with national development goals and agendas. It may be more feasible to immediately support the adoption of artificial intelligence for particular sectoral needs, yet developing countries should also formulate long-term strategic plans to steer national artificial intelligence development. Otherwise, as latecomers, they may be left with few options.
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Leveraging Strategic Foresight to Mitigate Artificial Intelligence (AI) Risk in Public Sectors
Más MenosThe Sustainable Development Goals Report 2024 warns that with less than one-fifth of targets on track, the world is failing to deliver on the promise of the Sustainable Development Goals (SDGs). Artificial Intelligence (AI) holds significant potential to accelerate the implementation of the SDGs by enhancing efficiency, fostering innovation, and improving decision-making across various sectors such as health, education, climate change, water, food, and energy. However, the unpredictable trajectory of AI development, coupled with its complex ethical, social, and political ramifications, necessitates a structured approach to anticipate and navigate its potential impacts. Strategic foresight exercises are essential in this context, enabling stakeholders to proactively identify and address emerging challenges and opportunities associated with AI. By leveraging collective intelligence and scenario planning, strategic foresight exercises can help ensure that AI technologies are developed and deployed responsibly, thereby increasing the likelihood of their positive contribution to sustainable and inclusive growth. Such forward-thinking methodologies are critical to mitigating risks and harnessing AIs transformative power in advancing the SDGs. This policy brief explains how strategic foresight can inform and guide public sectors in anticipating unexpected challenges and effectively harnessing AI technologies.
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Using Large Language Models to Help Train Machine Learning SDG Classifiers
Más MenosThis paper proposes the use of synthetic training data generated by large language models to improve machine learning SDG classifiers. It shows that supplementing existing training data with synthetic data produced by the ChatGPT tool improves the performance of the SDGClassy classifier. This addition of synthetic data is especially useful in building SDG classifiers given the limited availability of properly labeled data and the complex, interconnected nature of the SDGs. Synthetic data thus enable more effective machine-learning applications in this context.
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