1st Edition

The Routledge Handbook of Artificial Intelligence and Philanthropy

Edited By Giuseppe Ugazio, Milos Maricic Copyright 2025
    574 Pages 85 B/W Illustrations
    by Routledge

    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.


    List of Figures

    List of Tables

    List of appendixes, table of interviews, and boxes

    List of contributors



    Editors’ Introduction to the Volume



    Part I: AI Applications in the Philanthropic Sector 



    The relationship between AI and philanthropy: from historical roots to modern convergence

    Camilla Della Giovampaola and Maria Cristiana Tudor



    Measuring Meaningful Change: AI-Enhanced Impact Measurement in Philanthropy

    Simone Bartalucci, Antonia Muhr, Sina Sauer and Volker Then



    PHIL4DEV: A text-based machine learning model to compare philanthropic funding across the world

    Nelson Amaya, Harry de los Rios and Madeleine Lessard



    Fast-tracking the use of AI in everyday philanthropy

    Stefan Schöbi



    Applying diverse ai tools to transform philanthropic operations: insights from the for-profit sector

    Prity Khastgir and Shweta Shalini



    The use of AI and technology by civil society organizations and its international implications

    Anita Budziszewska and Oto Potluka



    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



    On the impact of AI-empowered, gaming-based virtual worlds on philanthropy

    Marc Schipper, Manouchehr Shamsrizi and Adalbert Pakura




    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



    Artificial Intelligence, machine learning, and data science philanthropy: case studies of a purposive classification of philanthropic missions

    Patricia Snell Herzog



    Data Science and AI among Philanthropic Foundations in Europe

    Sevda Kilicalp, Jack O'Neill and Daniel Spiers



    Digitalization of Swiss non-profit foundations: the potential role of AI from a cross-sectoral perspective

    Aline Kratz-Ulmer and Hubert Halopé



    Technological readiness of Asia’s social sector for the adoption and use of artificial intelligence

    Kithmina V. Hewage



    Digital philanthropy in China: how internet fundraising platforms and artificial intelligence are transforming non-profit governance

    Bertram Lang



    A Case Study on AI Usage for Collecting Philanthropy Data in the Western Balkans

    Nikola Milinković and Marko Galjak



    Optimizing philanthropic investment with AI: a case study of the Altruist League

    Milos Maricic



    The Spandows: Pioneering AI in family philanthropy and sustainable business

    Malgorzata Smulowitz and Peter Vogel



    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



    Navigating risk complexity associated with data philanthropy for AI

    Rahul Jha



    From Margin to Mainstream: Moving Philanthropy to Reshape our AI-Enabled Future

    Vilas Dhar and Yolanda Botti-Lodovico



    Altruistic Collective Intelligence for the Betterment of Artificial Intelligence

    Thomas Maillart, Lucia Gomez, Mohanty Sharada, Dipam Chakraborty and Sneha Nanavati



    Hand Out or Help Out: a resource-based view of AI in philanthropy

    Joe Wheeler



    Philanthropy's Urgent Opportunity to Create the Interim International AI Institution (IIAII)

    David Evan Harris and Anamitra Deb



    On foundations and foundation models: what lessons can AI and philanthropy learn from one another?

    Diana Acosta-Navas



    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



    How can philanthropy promote ethical, inclusive, and responsible AI development? Lessons from ImpactIA Foundation

    Laura Tocmacov




    Guided choices: the ethics of using algorithmic systems to shape philanthropic decision-making

    Rhodri Davies



    Shaping the ethical and inclusive AI revolution: five roles for philanthropies

    Ulla Jasper, Siddhartha Jha and Stefan Germann



    Getting to heaven: what teaching AI teaches us about ourselves

    Elizabeth A.M. Searing and Donald R. Searing



    Why philanthropy should embrace the ideological struggle shaping artificial general intelligence: a preliminary theological-political analysis

    Ezekiel Kwetchi-Takam



    AI disruptions in philanthropy: a multi-scale model of ethical vigilance

    Charles Sellen and Joost Mönks



    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




    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.