Torrent details for "Ugazio G. The Routledge Handbook of Artificial Intelligence...Ph…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
14.9 MB
Info Hash:
75DB22572DDCA5E950BE13B5482F3663D6587FC0
Added By:
Added:
April 23, 2026, 3:45 a.m.
Stats:
|
(Last updated: April 23, 2026, 3:46 a.m.)
| File | Size |
|---|---|
| Ugazio G. The Routledge Handbook of Artificial Intelligence...Philanthropy 2025.pdf | 14.9 MB |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: Ugazio G. The Routledge Handbook of Artificial Intelligence...Philanthropy 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format 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. PART I. AI applications in the philanthropic sector 1 The relationship between AI and philanthropy: From historical roots to modern convergence 2 Measuring meaningful change: AI‑enhanced impact measurement in philanthropy 3 PHIL4DEV: A text‑based machine learning model to compare philanthropic funding across the world 4 Fast‑tracking the use of AI in everyday philanthropy 5 Applying diverse AI tools to transform philanthropic operations: Insights from the for‑profit sector 6 The use of AI and technology by civil society organizations and its international implications 7 The impact of artificial intelligence and information technology on philanthropic organizations: Case studies of non‑profit and cultural associations 8 On the impact of AI‑empowered, gaming‑based virtual worlds on philanthropy 9 Toward a framework for Responsible AI in storytelling for nonprofit fundraising 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 11 Data science and AI among philanthropic foundations in Europe 12 Digitalization of Swiss non‑profit foundations: The potential role of AI from a cross‑sectoral perspective 13 Technological readiness of Asia’s social sector for the adoption and use of artificial intelligence 14 Digital philanthropy in China: How internet fundraising platforms and artificial intelligence are transforming non‑profit governance 15 A case study on AI usage for collecting philanthropy data in the Western Balkans 16 Optimizing philanthropic investment with AI: A case study of the Altruist League 17 The Spandows: Pioneering AI in family philanthropy and sustainable business 18 Digital stunt philanthropy: Mechanisms, impact, and ethics of using social media influencing for the greater good PART III. Philanthropy for AI development and regulation 19 Navigating risk complexity associated with data philanthropy for AI 20 From margin to mainstream: Moving philanthropy to reshape our AI‑enabled future 21 Altruistic collective intelligence for the betterment of artificial intelligence 22 Hand out or help out: A resource‑based view of AI in philanthropy 23 Philanthropy’s urgent opportunity to create the Interim International AI Institution (IIAII) 24 On foundations and foundation models: What lessons can AI and philanthropy learn from one another? 25 The AI extreme risk mitigation philanthropic sector: A philanthropic ecosystem at the forefront of AI PART IV. Ethics, AI, and philanthropy 26 How can philanthropy promote ethical, inclusive, and responsible AI development? Lessons from impactIA Foundation 27 Guided choices: The ethics of using algorithmic systems to shape philanthropic decision‑making 28 Shaping the ethical and inclusive AI revolution: Five roles for philanthropies 29 Getting to heaven: What teaching AI teaches us about ourselves 30 Why philanthropy should embrace the ideological struggle shaping artificial general intelligence: A preliminary theological‑political analysis 31 AI disruptions in philanthropy: A multi‑scale model of ethical vigilance 32 AI and philanthropy: How can they elevate each other?
×