Routledge Handbook of Artificial Intelligence and Philanthropy

Introduction Part I: AI Applications in the Philanthropic Sector 1. The relationship between AI and philanthropy: from historical roots to modern convergence 2. Measuring Meaningful Change: AI-Enhanced Impact Measurement in Philanthropy 3. PHIL4DEV: A text-based machine learning model to compare philanthropic funding across the world 4. Fast-tracking the use of AI in everyday philanthropy 5. Applying diverse ai tools to transform philanthropic operations: insights from the for-profit sector 6. The use of AI and technology by civil society organizations and its international implications 7. The impact of artificial intelligence and information technology on philanthropic organizations: case studies of non-profit and cultural associations 8. On the impact of AI-empowered, gaming-based virtual worlds on philanthropy 9. Toward a framework for responsible AI in storytelling for nonprofit fundraising Part II: Philanthropies regional AI adoption, readiness, and applications 10. Artificial Intelligence, machine learning, and data science philanthropy: case studies of a purposive classification of philanthropic missions 11. Data Science and AI among Philanthropic Foundations in Europe 12. Digitalization of Swiss non-profit foundations: the potential role of AI from a cross-sectoral perspective 13. Technological readiness of Asia's social sector for the adoption and use of artificial intelligence 14. Digital philanthropy in China: how internet fundraising platforms and artificial intelligence are transforming non-profit governance 15. A Case Study on AI Usage for Collecting Philanthropy Data in the Western Balkans 16. Optimizing philanthropic investment with AI: a case study of the Altruist League 17. The Spandows: Pioneering AI in family philanthropy and sustainable business 18. Digital Stunt Philanthropy: mechanisms, impact, and ethics of using social media influencing for the greater good Part III: Philanthropy for AI Development and Regulation 19. Navigating risk complexity associated with data philanthropy for AI 20. From Margin to Mainstream: Moving Philanthropy to Reshape our AI-Enabled Future 21. Altruistic Collective Intelligence for the Betterment of Artificial Intelligence 22. Hand Out or Help Out: a resource-based view of AI in philanthropy 23. Philanthropy's Urgent Opportunity to Create the Interim International AI Institution (IIAII) 24. On foundations and foundation models: what lessons can AI and philanthropy learn from one another? 25. The AI extreme risk mitigation philanthropic sector: a philanthropic ecosystem at the forefront of AI Part IV: Ethics, AI and Philanthropy 26. How can philanthropy promote ethical, inclusive, and responsible AI development? Lessons from ImpactIA Foundation 27. Guided choices: the ethics of using algorithmic systems to shape philanthropic decision-making 28. Shaping the ethical and inclusive AI revolution: five roles for philanthropies 29. Getting to heaven: what teaching AI teaches us about ourselves 30. Why philanthropy should embrace the ideological struggle shaping artificial general intelligence: a preliminary theological-political analysis 31. AI disruptions in philanthropy: a multi-scale model of ethical vigilance 32. AI and philanthropy: how can they elevate each other? 32. Closing reflections and future directions

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Artificial Intelligence, Philanthropy and Ethics;AI-powered immersive digital environments;Ethical and Inclusive AI (EIAI) Revolution;The role of blockchain;Data science for social good;Social impact assessment;Cross-border philanthropy;Corporate philanthropy and social entrepreneurship