Date of Award

8-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

International Family and Community Studies

Committee Chair/Advisor

Dr. Mark Small

Committee Member

Dr. Susan Limber

Committee Member

Dr. Natallia Sianko

Committee Member

Dr. Bonnie Holaday

Abstract

This study describes the nature and extent of Artificial Intelligence (AI) integration in philanthropic organizations and assesses the capacity and readiness of nonprofits in adopting AI for philanthropic use. Additionally, the study explores the nature and extent of perceived concerns, risks, and benefits of AI use in philanthropy and describes the current state of and need for ethical guidance. Specifically, 31 community foundation leaders and 11 nonprofit organization leaders in the United States completed an online survey. Results indicate that organizations report low readiness for AI integration as well as concerns about confidentiality and bias in the data upon which AIs are trained. Perceived benefits include increased productivity and improved communication with external stakeholders. Organizations also reported the need for ethical guidance with no single ethical approach favored to balance risks and benefits. Thus, a multi-ethical approach is recommended where organizations use different ethical approaches to balance risks and benefits according to specific potential harms. Ethical guidance, best practices, and recommendations for policy are examined.

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