The Routledge Handbook of Artificial Intelligence and Philanthropy
This handbook acts as a catalyst for the dialogue between two ecosystems with much to gain from collaboration: AI and philanthropy. It offers a robust academic foundation for studying both how AI can be used and implemented within philanthropy and how philanthropy can guide the future development of...
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Oxford :
Taylor & Francis Group
2024.
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| Edición: | 1st ed |
| Colección: | Routledge International Handbooks Series
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009861839706719 |
Tabla de Contenidos:
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Acknowledgments
- List of Figures
- List of Tables
- List of Appendixes, Table of Interviews, and Boxes
- List of Contributors
- Foreword: From AI-empowered Philanthropy to Philanthropy-driven AI
- Editors' Introduction to the Volume
- 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?
- Closing Reflections and Future Directions
- Index.
