AI
Responsible AI Adoption in Philanthropy
As society grapples with the increasing prevalence of AI tools, the “Responsible AI Adoption in Philanthropy” guide provides pragmatic guidance and a holistic evaluation framework for grantmakers to adopt AI in alignment with their core values. The framework emphasizes the responsibility of philanthropic organizations to ensure that the usage of AI enables human flourishing, minimizes risk, and maximizes benefit.
The framework includes considerations for AI adoption in three key areas – Organizational, Ethical, and Technical – each essential for grantmakers considering the use of AI.
Serving as a starting point for decision-makers, the framework provides a catalogue of considerations when exploring or expanding the use of AI.
Events
AI Adoption for Funders: Release of V1 Framework
December 6, 2023
Watch the Recording
AI Solutions Showcase
August 22, 2023
Watch the Recording (Members Only)
AI in Philanthropy: Trends & Responsible Use
October 26, 2023
Watch the Recording
TAG Resources
Survey Results: AI Pulse Check
In July-August, 2023, the Technology Association of Grantmakers (TAG) conducted a preliminary survey with grantmakers to gauge the sector’s perspectives, concerns, and aspirations relating to AI. These initial findings offer valuable insights into the most pressing questions and needs of the philanthropic community relating to AI.
DOWNLOAD: Navigating the AI Landscape in Philanthropy: Initial Insights from a Survey by TAG
AI Usage Policies
Enable the safe and ethical use of AI tools by staff and partners with a carefully considered AI usage policy. In the collection below, you’ll find examples from peers in philanthropy.
DOWNLOAD: Visit the Policies section of the TAG Knowledge Center (Members Only)
Reading Materials
Current State Overview
These resources are a great place for an overview of the current landscape of AI technologies and their risks, benefits, and future evolution.
- Generative Artificial Intelligence: Overview, Issues, and Questions for Congress Report to Congress (June 9, 2023)
- Generative Artificial Intelligence and Data Privacy: A Primer (Report to Congress May 23, 2023)
- People’s Guide to AI (Free Download)
- The Foundation Model Transparency Index (Stanford University’s Center for Research on Foundation Models)
General Information
The information provided below has been sourced directly from TAG members.
Articles
- 8 Steps Nonprofits Can Take to Adopt AI Responsibly (SSIR, Sept 2023)
- Accenture and Generative AI: Advice for Business Leaders (CXO Talk, July 2023)
- Regulating AI Innovation: Aboitiz Data Innovation’s David Hardoon (Me, Myself, AI podcast, Jul 2023)
- Learning From and With AI: Duolingo’s Zan Gilani (Me, Myself, AI podcast, Aug 2023)
- AI Won’t Replace Humans — But Humans With AI Will Replace Humans Without AI (HBR, Aug 2023)
- “These Women Tried to Warn Us About AI” (Rolling Stone, August 2023)
- Using Federated Machine Learning to Overcome the AI Scale Disadvantage (HBR, Aug 2023)
- Funding Data and AI That Serve the Social Sector (SSIR, May, 2022)
- How Generative AI Has Supercharged the Future of Work (Constellation Research, April 2023)
- AI Is Suddenly Everywhere, but Philanthropy Has Been Involved for Years. Here Are the Top Funders (Inside Philanthropy, July 2023)
Books
- Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World (Cade Metz) Recommended by multiple TAG IT Executives
- Future Normal (Bhargava and Coutinho-Mason)
- Bridging The AI Gap (Abhinav & Raghavan Aggarwa)
- Superintelligence: Paths, Dangers, Strategies (Nick Bostrom)
Courses
- AI for Everyone by Coursera
- Artificial Intelligence by Digital Impact
Podcasts
- “Me, Myself, and AI” by MIT Sloan with co-hosts Sam Ransbotham and Shervin Khodabandeh
- “Exponential View” by Azeem Azhar
- “Possible” with Reid Hoffman and Aria Finger
- Unexplainable (Vox Media)