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.
TABLE OF CONTENTS
part I|148 pages
AI applications in the philanthropic sector
chapter 1|18 pages
The relationship between AI and philanthropy
chapter 3|10 pages
PHIL4DEV
chapter 5|18 pages
Applying diverse AI tools to transform philanthropic operations
chapter 6|13 pages
The use of AI and technology by civil society organizations and its international implications
chapter 7|25 pages
The impact of artificial intelligence and information technology on philanthropic organizations
chapter 9|12 pages
Toward a framework for Responsible AI in storytelling for nonprofit fundraising
part II|150 pages
Philanthropies' regional AI adoption, readiness, and applications
chapter 10|13 pages
Artificial intelligence, machine learning, and data science philanthropy
chapter 12|13 pages
Digitalization of Swiss non-profit foundations
chapter 13|16 pages
Technological readiness of Asia's social sector for the adoption and use of artificial intelligence
chapter 14|19 pages
Digital philanthropy in China
chapter 15|17 pages
A case study on AI usage for collecting philanthropy data in the Western Balkans
chapter 16|18 pages
Optimizing philanthropic investment with AI
chapter 18|20 pages
Digital stunt philanthropy
part III|124 pages
Philanthropy for AI development and regulation
chapter 20|16 pages
From margin to mainstream
chapter 21|17 pages
Altruistic collective intelligence for the betterment of artificial intelligence
chapter 23|19 pages
Philanthropy's urgent opportunity to create the Interim International AI Institution (IIAII)
chapter 24|15 pages
On foundations and foundation models
chapter 25|23 pages
The AI extreme risk mitigation philanthropic sector
part IV|128 pages
Ethics, AI, and philanthropy
