The Routledge Handbook of Artificial Intelligence and Philanthropy
| Přispěvatelé: | Ugazio, Giuseppe, Maricic, Milos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2025 |
| Předmět: |
Artificial Intelligence
Philanthropy and Ethics AI-powered immersive digital environments Ethical and Inclusive AI (EIAI) Revolution The role of blockchain Data science for social good Social impact assessment Cross-border philanthropy Corporate philanthropy and social entrepreneurship thema EDItEUR::K Economics Finance Business and Management::KJ Business and Management::KJV Ownership and organization of enterprises::KJVN Public ownership / nationalization thema EDItEUR::K Economics Finance Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas::KJMV6 Research and development management thema EDItEUR::K Economics Finance Business and Management::KJ Business and Management::KJS Sales and marketing thema EDItEUR::K Economics Finance Business and Management::KF Finance and accounting thema EDItEUR::K Economics Finance Business and Management::KN Industry and industrial studies::KNV Civil service and public sector |
| Druh dokumentu: | book |
| DOI: | 10.4324/9781003468615 |
| Popis: | 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 http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. |
| Databáze: | OAPEN Library |
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