Data Governance and Stewardship in Fundraising: Estimating Donor Lifetime Value with Explainable AI

Author(s)	Sriram Jasti, Deepthi Ravi
Country	United States
Abstract	The advent of Artificial Intelligence (AI) has the potential to transform fundraising by providing accurate estimates of Donor Lifetime Value (DLV). The challenge lies in the fact that standard-AI models lack transparency, create risks of algorithmic bias, and invite skepticism as trust erodes. In this paper, we suggest that the effective, ethical, and productive application of AI to DLV estimation requires a solid data governance framework. We argue that Explainable AI (XAI) is an important part of providing the transparency required to demystify predictions that allow fundraising professionals to personalize engagement with donors and to build stronger relationships. This supports a human-in-the-loop model in which AI augments professional fundraising capability, rather than replacing it.
Keywords	Explainable AI (XAI), Donor Lifetime Value (DLV), Data Governance, Fundraising, Ethical AI.
Field	Engineering
Published In	Volume 6, Issue 4, April 2025
Published On	2025-04-10
DOI	https://doi.org/10.70528/IJLRP.v6.i4.1989
Short DOI	https://doi.org/hbtqj4

About IJLRP Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijlrp.com

International Journal of Leading Research Publication