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        <BiographicalNote>&lt;p&gt;Laure Berti-Equille is a Research Director in applied Data Science and Al at lRD, the French Research lnstitute for Sustainable Developement. She has extensive research and teaching experience with numerous published papers and student supervisions. This book and related online material are open-access.&lt;/p&gt;</BiographicalNote>
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        <Text language="fre">&lt;p&gt;How can Artificial lntelligence (Al) be effectively leveraged with the United Nations Sustainable Development Goals (SDGs)? Beyond the hype, Al has the potential to transform global challenges into opportunities-if applied responsibly and inclusively. Yet, connecting complex technical systems to urgent sustainability issues requires clarity, methodological rigor, and illustrative evidence.&lt;/p&gt;&lt;p&gt;This book offers a structured and visually engaging exploration of how Al can support each of the 17 SDGs. By combining technical depth with accessible illustrations, it bridges the gap between advanced Al concepts and their practical applications in domains such as poverty estimation, climate action, health, and education. Readers will encounter real-world case studies, annotated diagrams, and examples that highlight both the promises and the limitations of Al for sustainability.&lt;/p&gt;&lt;p&gt;Designed as both a reference and a guide, the book speaks to researchers, practitioners, policymakers, and students who want to understand not only the « what » and « why » but also the « how » of Al for sustainable development. By the end of this illustrated tour, readers will gain a clearer vision of where Al truly contributes, where caution is needed, and how innovation can be directed to serve the common good.&lt;/p&gt;</Text>
        <Text language="eng">&lt;p&gt;How can Artificial lntelligence (Al) be effectively leveraged with the United Nations Sustainable Development Goals (SDGs)? Beyond the hype, Al has the potential to transform global challenges into opportunities-if applied responsibly and inclusively. Yet, connecting complex technical systems to urgent sustainability issues requires clarity, methodological rigor, and illustrative evidence.&lt;/p&gt;&lt;p&gt;This book offers a structured and visually engaging exploration of how Al can support each of the 17 SDGs. By combining technical depth with accessible illustrations, it bridges the gap between advanced Al concepts and their practical applications in domains such as poverty estimation, climate action, health, and education. Readers will encounter real-world case studies, annotated diagrams, and examples that highlight both the promises and the limitations of Al for sustainability.&lt;/p&gt;&lt;p&gt;Designed as both a reference and a guide, the book speaks to researchers, practitioners, policymakers, and students who want to understand not only the « what » and « why » but also the « how » of Al for sustainable development. By the end of this illustrated tour, readers will gain a clearer vision of where Al truly contributes, where caution is needed, and how innovation can be directed to serve the common good.&lt;/p&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;</Text>
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