1st Edition
The Routledge Handbook of Artificial Intelligence and Philanthropy
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
Luciano Floridi
Editors’ introduction to the volume
Giuseppe Ugazio and Milos Maricic
PART I AI applications in the philanthropic sector
1 The relationship between AI and philanthropy: From historical roots to modern convergence
Camilla Della Giovampaola and Maria Cristiana Tudor
2 Measuring meaningful change: AI‑enhanced impact measurement in philanthropy
Simone Bartalucci, Antonia Muhr, Sina Sauer and Volker Then
3 PHIL4DEV: A text‑based machine learning model to compare philanthropic funding across the world
Nelson Amaya, Harry de los Rios and Madeleine Lessard
4 Fast‑tracking the use of AI in everyday philanthropy
Stefan Schöbi
5 Applying diverse AI tools to transform philanthropic operations: Insights from the for‑profit sector
Prity Khastgir and Shweta Shalini
6 The use of AI and technology by civil society organizations and its international implications
Anita Budziszewska and Oto Potluka
7 The impact of artificial intelligence and information technology on philanthropic organizations: Case studies of non‑profit and cultural associations
Luca Barzanti, Lia Benvenuti and Enrico Gaudenzi
8 On the impact of AI‑empowered, gaming‑based virtual worlds on philanthropy
Marc Schipper, Manouchehr Shamsrizi and Adalbert Pakura
9 Toward a framework for Responsible AI in storytelling for nonprofit fundraising
Marta Herrero and Shauna Concannon
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
Patricia Snell Herzog
11 Data science and AI among philanthropic foundations in Europe
Sevda Kilicalp, Jack O’Neill and Daniel Spiers
12 Digitalization of Swiss non‑profit foundations: The potential role of AI from a cross‑sectoral perspective
Aline Kratz‑Ulmer and Hubert Halopé
13 Technological readiness of Asia’s social sector for the adoption and use of artificial intelligence
Kithmina V. Hewage
14 Digital philanthropy in China: How internet fundraising platforms and artificial intelligence are transforming non‑profit governance
Bertram Lang
15 A case study on AI usage for collecting philanthropy data in the Western Balkans
Nikola Milinković and Marko Galjak
16 Optimizing philanthropic investment with AI: A case study of the Altruist League
Milos Maricic
17 The Spandows: Pioneering AI in family philanthropy and sustainable business
Malgorzata Smulowitz and Peter Vogel
18 Digital stunt philanthropy: Mechanisms, impact, and ethics of using social media influencing for the greater good
Monica Lea and Lucia Gomez
PART III Philanthropy for AI development and regulation
19 Navigating risk complexity associated with data philanthropy for AI
Rahul Jha
20 From margin to mainstream: Moving philanthropy to reshape our AI‑enabled future
Yolanda Botti‑Lodovico and Vilas Dhar
21 Altruistic collective intelligence for the betterment of artificial intelligence
Thomas Maillart, Lucia Gomez, Mohanty Sharada, Dipam Chakraborty and Sneha Nanavati
22 Hand out or help out: A resource‑based view of AI in philanthropy
Joe Wheeler
23 Philanthropy’s urgent opportunity to create the Interim International AI Institution (IIAII)
David Evan Harris and Anamitra Deb
24 On foundations and foundation models: What lessons can AI and philanthropy learn from one another?
Diana Acosta‑Navas
25 The AI extreme risk mitigation philanthropic sector: A philanthropic ecosystem at the forefront of AI
Siméon Campos and Daniel S. Schiff
PART IV Ethics, AI, and philanthropy
26 How can philanthropy promote ethical, inclusive, and responsible AI development? Lessons from impactIA Foundation
Laura Tocmacov
27 Guided choices: The ethics of using algorithmic systems to shape philanthropic decision‑making
Rhodri Davies
28 Shaping the ethical and inclusive AI revolution: Five roles for philanthropies
Ulla Jasper, Siddhartha Jha and Stefan Germann
29 Getting to heaven: What teaching AI teaches us about ourselves
Elizabeth A.M. Searing and Donald R. Searing
30 Why philanthropy should embrace the ideological struggle shaping artificial general intelligence: A preliminary theological‑political analysis
Ezekiel K. Takam
31 AI disruptions in philanthropy: A multi‑scale model of ethical vigilance
Charles Sellen and Joost Mönks
32 AI and philanthropy: How can they elevate each other?
Ravit Dotan
Closing reflections and future directions
Camilla Della Giovampaola, Lucia Gomez, Hubert Halopé, Maria Cristiana Tudor and Giuseppe Ugazio
Index
Biography
Giuseppe Ugazio is an Associate Professor in Behavioral Philanthropy and Finance at the Geneva Finance Research Institute, faculty of economics and management of the University of Geneva. He holds two doctorates, one in philosophy and the other in neuro‑economics and studies the neuropsychological mechanisms that influence complex human social behavior. He is pioneering research on the use of AI to unveil the potential of this technology to support the strategies and operations of philanthropy organizations. These projects include the development of a big data‑driven tool using natural language processing to unveil synergies among philanthropic organizations in Switzerland.
Milos Maricic is an expert at the intersection of philanthropy, finance, and AI. As the Founder of the Altruist League, a Geneva‑based global philanthropy consultancy, he pioneered the use of AI in investment sourcing, fund distribution, and portfolio management. In 2021, he co‑authored the book Fixing Philanthropy, which proposes a more efficient framework for global giving to address systemic issues. He has represented the venture capital industry in key international discussions on AI regulation. As a former humanitarian executive, he has spoken at major events, advocating for grassroots, citizen‑led organizations.
