ABSTRACT

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, 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.

The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

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part I|148 pages

AI applications in the philanthropic sector

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chapter 1|18 pages

The relationship between AI and philanthropy

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From historical roots to modern convergence
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chapter 2|22 pages

Measuring meaningful change

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AI-enhanced impact measurement in philanthropy
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chapter 3|10 pages

PHIL4DEV

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A text-based machine learning model to compare philanthropic funding across the world
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chapter 5|18 pages

Applying diverse AI tools to transform philanthropic operations

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Insights from the for-profit sector
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chapter 7|25 pages

The impact of artificial intelligence and information technology on philanthropic organizations

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Case studies of non-profit and cultural associations
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part II|150 pages

Philanthropies' regional AI adoption, readiness, and applications

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chapter 10|13 pages

Artificial intelligence, machine learning, and data science philanthropy

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Case studies of a purposive classification of philanthropic missions
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chapter 12|13 pages

Digitalization of Swiss non-profit foundations

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The potential role of AI from a cross-sectoral perspective
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chapter 14|19 pages

Digital philanthropy in China

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How internet fundraising platforms and artificial intelligence are transforming non-profit governance
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chapter 16|18 pages

Optimizing philanthropic investment with AI

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A case study of the Altruist League
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chapter 17|12 pages

The Spandows

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Pioneering AI in family philanthropy and sustainable business
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chapter 18|20 pages

Digital stunt philanthropy

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Mechanisms, impact, and ethics of using social media influencing for the greater good
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part III|124 pages

Philanthropy for AI development and regulation

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chapter 20|16 pages

From margin to mainstream

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Moving philanthropy to reshape our AI-enabled future
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chapter 22|13 pages

Hand out or help out

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A resource-based view of AI in philanthropy
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chapter 24|15 pages

On foundations and foundation models

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What lessons can AI and philanthropy learn from one another?
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chapter 25|23 pages

The AI extreme risk mitigation philanthropic sector

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A philanthropic ecosystem at the forefront of AI
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part IV|128 pages

Ethics, AI, and philanthropy

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chapter 26|18 pages

How can philanthropy promote ethical, inclusive, and responsible AI development?

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Lessons from impactIA Foundation
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chapter 27|20 pages

Guided choices

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The ethics of using algorithmic systems to shape philanthropic decision-making
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chapter 28|15 pages

Shaping the ethical and inclusive AI revolution

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Five roles for philanthropies
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chapter 29|17 pages

Getting to heaven

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What teaching AI teaches us about ourselves
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chapter 30|17 pages

Why philanthropy should embrace the ideological struggle shaping artificial general intelligence

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A preliminary theological-political analysis
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chapter 31|19 pages

AI disruptions in philanthropy

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A multi-scale model of ethical vigilance
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chapter 32|15 pages

AI and philanthropy

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How can they elevate each other?
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