Knowledge Bank
Resources, articles, papers, and other material submitted on AI and LLM adoption in the social sector.
Palantir Artificial Intelligence Platform
Palantir
Prioritizing Safety and Responsibility: A Call to Model Providers to Develop Guardrails with Civil Society and Academia
Penelope Sosa
Ethics and AI In Fundraising
Wisely
Introducing llamafile – Mozilla Hacks – the Web developer blog
Stephen Hood
Guidance to civil servants on use of generative AI
GOV.UK
Bridging the AI language gap in Africa and beyond
DW
Eleuther AI
Eleuther AI
Responsible Artificial Intelligence: Recommendations and Lessons Learned
Virginia Dignum
The first principles guiding our work with AI
Mark Suzman
How Nonprofits Are Using AI
Janelle Levesque
Bending Generative AI’s Trajectory Toward a Responsible Technology Future
Claire Pei
All Tech Is Human
All Tech Is Human
Generative AI exists because of the transformer
Visual Storytelling Team; Madhumita Murgia
JusticeText taps AI to transcribe evidence for public defenders
Kyle Wiggers
Prompt Engineering Guide
DAIR
Working with Robots as Colleagues: Kenyan Perspectives of Ethical Concerns on Possible Integration of Co-bots in Workplaces
Tom Kwanya
Sample corporate policy for use of Generative Artificial Intelligence
Benjamin Hughes
Gather, Share, Build: Why data is one of the biggest challenges to leveraging AI for social good—and how the social sector can address it
SSIR
Prompt Engineering for MERL: tips and cautions
Linda Raftree
Data & Society
Data & Society
Plai: Better Digital Marketing Is Just A Few Taps Away
Plai
RILabs AI Reading List
RILabs
A literature review of experimental studies in fundraising
Abhishek Bhati; Ruth Hansen
Can artificial intelligence, RegTech and CharityTech provide effective solutions for anti-money laundering and counter-terror financing initiatives in charitable fundraising
Charanjit Singh; Wangwei Lin
Adopting AI Responsibly: Guidelines for Procurement of AI Solutions by the Private Sector
World Economic Forum
AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa
Bernd Carsten Stahl; Tonii Leach; Oluyinka Oyeniji; George Ogoh
LLM Safety Checklist: Avoiding Common Traps in Generative AI Applications
Mariya Yao; Kate Koidan
New Methods and the Study of Vulnerable Groups: Using Machine Learning to Identify Immigrant-Oriented Nonprofit Organizations
Cheng Ren; Irene Bloemraad
Anthropic’s Responsible Scaling Policy
Anthropic
Turn expensive prompts into cheap fine-tuned models
OpenPipe
Generative vs Predictive AI: Key Differences & Real-World Applications
Mariya Yao; Kate Koidan
Democratizing AI: Principles for Meaningful Public Participation
Data & Society
Fulfilled Promises: Using GPT for Analytical Tasks
World Bank Group
AI Impacts
AI Impacts
How AI is impacting policy processes and outcomes in Africa
Charles Asiegbu and Chinasa T. Okolo
Unfulfilled Promises: Using GPT for Synthetic Tasks | Independent Evaluation Group
World Bank Group
Predicting the Discontinuity of Non-Profit Organizations Using the Machine Learning Approach
Xinxin Wang; Heejae Lee; Richard Dull
Harnessing generative AI for good
Parshya Kavoosi
Empowering Nonprofit Organization to Reduce Donation Attrition with Machine Learning
IEEE Conference Publication
Namaste Data
Namaste Data
Revolutionizing Program Evaluation with Generative AI: An Evidence-Based Methodology
Drijesh Patel
Licensing is neither feasible nor effective for addressing AI risks
Sayash Kapoor
Setting up Experiments to Test GPT for Evaluation
Independent Evaluation Group
Framework toward Responsible AI for Fundraising
fundraising.ai
5 steps for building a ‘no code’ chatbot in under 5 minutes
Sarah Osman
A new AI-generated map of the world’s trees and renewable energy projects could help fight climate change
Justine Calma
Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach
Abhishek Behl; Pankaj Dutta; Zongwei Luo; Pratima Sheorey
OpenPipe: Fine-Tuning for Developers
OpenPipe
Centaurs and Cyborgs on the Jagged Frontier
Ethan Mollick
Generative AI companies must publish transparency reports
Arvind Narayanan