1st Edition
The Routledge Handbook of Artificial Intelligence and Philanthropy
The Routledge Handbook of Artificial Intelligence and Philanthropy acts as a catalyst for the dialogue between two ecosystems with much to gain from collaboration: artificial intelligence (AI) and philanthropy. Bringing together leading academics, AI specialists, and philanthropy professionals, 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 AI in a responsible way.
The contributors to this handbook explore various facets of the AI-philanthropy dynamic, critically assess hurdles to increased AI adoption and integration in philanthropy, map the application of AI within the philanthropic sector, and evaluate how philanthropy can and should promote an AI that is ethical, inclusive, and responsible, and identify the landscape of risk strategies for their limitations and/or potential mitigation. These theoretical perspectives are complemented by several case studies that offer a pragmatic perspective on diverse successful and effective AI-philanthropy synergies.
As a result, this handbook stands as a valuable academic reference capable of enriching the interactions of AI and philanthropy, uniting the perspectives of scholars and practitioners, thus building bridges between research and implementation, and setting the foundations for future research endeavors on this topic.
Acknowledgements
List of Figures
List of Tables
List of appendixes, table of interviews, and boxes
List of contributors
Foreword
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
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
Vilas Dhar and Yolanda Botti-Lodovico
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 Kwetchi-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 Halope, Maria Cristiana Tudor and Giuseppe Ugazio
Index
Biography
Giuseppe Ugazio is an Associate Professor in Behavioural 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.
