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<br/>Chapter 1. AI and Sustainable Development—A Comprehensive Framework<br/>Abstract<br/>Artificial Intelligence (AI) is reshaping the global landscape of sustainable development, influencing economic, social, and environmental dimensions. While AI offers transformative potential in achieving the Sustainable Development Goals (SDGs), it also introduces ethical challenges, digital divides, and governance complexities. This chapter establishes a comprehensive framework for understanding AI’s role in sustainable development, integrating technological, political economy, and ethical perspectives to set the stage for subsequent discussions on implementation, risks, and opportunities.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 2. The Double-Edged Sword: AI’s Promise and Threat in Addressing Societal Challenges<br/>Abstract<br/>The rapid adoption of Artificial Intelligence (AI) brings significant ethical implications, notably algorithmic biases, privacy risks, and inequalities associated with the digital divide. This chapter provides a detailed exploration of these ethical risks, proposing a comprehensive framework to mitigate digital disparities and ensure equitable access to AI benefits. Country-specific case studies illustrate varying digital divide manifestations and ethical AI implementation approaches across diverse socioeconomic contexts. As Suleyman (The coming wave: Technology, power, and the twenty-first century’s greatest dilemma. Crown Publishing Group, New York, 2023) notes, both AI and biotechnology embody a double-edged potential: the power to revolutionize industries, and the capacity to introduce profound ethical and safety risks. He underscores the urgent need for robust regulatory frameworks to ensure these technologies advance the public good without compromising accountability or social trust.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 3. AI Case Studies and Empirical Evidence<br/>Abstract<br/>This chapter provides detailed case studies illustrating practical applications of Artificial Intelligence (AI) across various sectors and geographic regions. It presents empirical evidence showcasing the tangible impacts AI-driven solutions have on achieving sustainability outcomes. Through comparative analysis, the chapter identifies key success factors and lessons learned, offering actionable insights for stakeholders interested in implementing AI for sustainable development.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 4. The Business Case for AI in Sustainable Development<br/>Abstract<br/>Artificial Intelligence (AI) offers significant financial, operational, and strategic advantages to businesses that adopt sustainable development practices. This chapter extensively examines the business rationale for investing in AI-driven sustainability, highlighting cost efficiencies, risk management benefits, revenue growth opportunities, and competitive differentiation. Detailed case studies illustrate how corporations across industries leverage AI to align profitability with sustainability and ESG objectives, providing a compelling case for private sector engagement in sustainable development through technological innovation.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 5. AI Governance, Regulation, and Ethical Implementation<br/>Abstract<br/>As AI continues to shape sustainable business practices, its governance and ethical implications become increasingly critical. This chapter examines the regulatory frameworks, governance mechanisms, and ethical considerations necessary for responsible AI implementation. It explores global AI governance trends, corporate responsibility in AI ethics, and the role of international collaboration in ensuring AI advances sustainability without exacerbating inequalities. By providing a comparative analysis of governance approaches and detailed case studies, this chapter offers comprehensive guidance for ensuring ethical AI deployment in sustainability contexts.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 6. AI and Workforce Transformation—Opportunities and Challenges<br/>Abstract<br/>The rise of AI-driven automation is reshaping labor markets worldwide, impacting workforce skills, employment structures, and job creation dynamics. While AI offers opportunities to enhance productivity and innovation, it also raises concerns about job displacement and skills gaps. This chapter explores the dual impact of AI on the workforce, examines reskilling strategies, and discusses policy interventions needed to ensure an inclusive and sustainable transition. Drawing on global case studies and empirical evidence, we provide insights for managing workforce transformation across diverse economic contexts.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 7. AI and Sustainable Cities—Smart Urban Development for a Greener Future<br/>Abstract<br/>The integration of Artificial Intelligence (AI) in urban environments offers transformative opportunities to enhance sustainability, resilience, and quality of life. This chapter provides a comprehensive examination of how AI technologies are revolutionizing urban planning, services, and infrastructure across diverse global contexts. Through rigorous analysis of empirical evidence and case studies from both developed and developing economies, we explore AI applications in energy management, transportation optimization, waste reduction, and climate resilience. The chapter also addresses critical ethical considerations, implementation challenges, and governance frameworks necessary for human-centered, sustainable urban AI deployment. By identifying key success factors and offering strategic recommendations, we provide actionable insights for policymakers, urban planners, and stakeholders seeking to leverage AI for more sustainable cities.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 8. AI and Biodiversity—Protecting Nature Through Technology<br/>Abstract<br/>Biodiversity loss represents one of humanity’s most pressing environmental challenges, with potentially catastrophic consequences for ecosystem services, food security, and human well-being. This chapter examines how artificial intelligence (AI) can transform biodiversity conservation and ecosystem management through enhanced monitoring capabilities, predictive analytics, and decision support tools. Drawing on empirical evidence and case studies from terrestrial, marine, and freshwater contexts, we analyze AI applications in species identification, habitat monitoring, anti-poaching efforts, and climate resilience. The chapter addresses ethical considerations unique to conservation applications of AI, including data sovereignty, indigenous knowledge integration, and equity concerns. Through rigorous assessment of implementation challenges, success factors, and emerging approaches, we provide a comprehensive framework for leveraging AI technologies to protect biodiversity while ensuring these applications remain ethical, inclusive, and effective across diverse global contexts.<br/>Mahmoud Mohieldin, Maria Alejandra Gonzalez-Perez, Mohamed Zahran<br/>Show more<br/>Chapter 9. Conclusions—Charting a Responsible Path for AI in Sustainable Development<br/>Abstract<br/>This concluding chapter provides a comprehensive overview of Artificial Intelligence’s (AI) transformative potential for sustainable development while highlighting key challenges and strategic recommendations for future implementation. It synthesizes insights from previous chapters, presenting detailed scenarios for AI’s future role in sustainability, discussing necessary regulatory and ethical frameworks, and providing actionable strategies for stakeholders to ensure inclusive, equitable, and environmentally responsible AI deployment. Drawing on the accumulated evidence and case studies, |