Artificial Intelligence, Machine Learning, and Data Science Philanthropy: Case Studies of a Purposive Classification of Philanthropic Missions
| dc.contributor.author | Herzog, Patricia Snell | |
| dc.date.accessioned | 2024-12-23T18:19:21Z | |
| dc.date.available | 2024-12-23T18:19:21Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This chapter analyzes U.S. nonprofit data compiled from multiple sources to identify 349 philanthropic organizations involved in artificial intelligence, machine learning, and data science technology. Analyzing mission statements results in three groups categories – tech-centered, tech-perpetuating, and tech-implementing – and includes case studies of 15 organizations exemplifying each technology for good type. The chapter concludes with a conceptual framework for philanthropy's role in advancing technology and social good. | |
| dc.description.sponsorship | University of Geneva | |
| dc.identifier.citation | Herzog, Patricia Snell. 2024. “Artificial Intelligence, Machine Learning, and Data Science Philanthropy: Case Studies of a Purposive Classification of Philanthropic Missions.” Pp. 159-171 in Handbook of Artificial Intelligence and Philanthropy, edited by G. Ugazio and M. Maricic. Milton Park, Abingdon, Oxon: Routledge. doi: 10.4324/9781003468615-13. | |
| dc.identifier.uri | https://hdl.handle.net/1805/45165 | |
| dc.language.iso | en_US | |
| dc.publisher | Routledge | |
| dc.relation.isversionof | 10.4324/9781003468615-13 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Philanthropy | |
| dc.subject | Artificial intelligence | |
| dc.subject | Machine learning | |
| dc.subject | Data science | |
| dc.subject | Technology | |
| dc.title | Artificial Intelligence, Machine Learning, and Data Science Philanthropy: Case Studies of a Purposive Classification of Philanthropic Missions | |
| dc.type | Book chapter |