AI for Nonprofits

Chapter 30Data Privacy and Ethical AI Adoption

Based on insights from an interview with Amy Sample Ward.

In today's technological landscape, nonprofits are increasingly leveraging AI to drive impact, streamline operations, and enhance decision-making. However, as your nonprofit adopts new technology, you're responsible to ensure you do so in ways that advance your mission and values, while mitigating any potential concerns. Ensuring data privacy and avoiding ethical concerns is not just a legal obligation but a moral imperative. As nonprofit leaders and technologists, you must prioritize ethical AI practices to maintain trust with your stakeholders and protect sensitive information. This chapter offers practical tips and tools to guide your nonprofit through how to ethically implement AI in your organization.

Critical Skills and Competencies

Get Your Data in Order

As many other chapters have shared, it's crucial to ensure your organization's data is well organized and secure before diving into AI. Start by conducting a thorough audit of your data assets: identify all sources of data, categorize them, and determine their relevance and usefulness. Clean up your database, remove duplicates, and ensure your data is accurate, up-to-date, and organized. This process helps in eliminating clutter and focusing on valuable, actionable data. It also helps you delineate internal data you generate from that obtained from third-party sources, enabling you to leverage existing resources ...