J-PAL's Evaluating AI Solutions Training Workshop
Course overview
Artificial intelligence (AI) has the potential to transform the lives of hundreds of millions, and an increasing number of organizations are leveraging AI for social good. This immersive, three-day workshop equips participants with foundational tools to explore how to evaluate the impact of their AI solutions and how to integrate findings into their work. The series provides an in-depth look at impact evaluation and practical training for exploring one’s own evaluation.
Sessions will incorporate real-world examples from randomized evaluations of AI interventions across a variety of themes. Participants will join a community of practice with fellow decision-makers and J-PAL experts who can support in the design and use of impact evaluations.
We encourage you to express your interest in the training by August 29, 2025.
Who is this course for?
The course is designed for decision-makers in nonprofits and social enterprises around the world working on generative AI solutions and seeking to understand their impact. The concepts and strategies discussed in the course will be most useful for participants whose roles focus on designing, implementing, or evaluating AI solutions for social good, and who are positioned to integrate learnings into product strategy.
Not sure if this course is the right fit for you? Reach out to us at [email protected] for more information.
Course format
J-PAL affiliated researchers and senior J-PAL staff with extensive experience implementing randomized evaluations will lead interactive virtual lecture sessions on when and how to generate rigorous evidence to inform decision-making. Through small-group discussions with J-PAL staff and peers, participants will have the opportunity to solidify concepts and discuss how they might apply these to their work.
Following the workshop, participants interested in exploring a randomized evaluation of their intervention will have the opportunity to be matched with researchers from the J-PAL network to design an evaluation plan and jointly apply for evaluation funding through the Partnership for AI Evidence.
View a sample agenda for the course here >>
Key information
- What are the associated course fees? This course is offered for free for invited participants through the Partnership for AI Evidence.
- How can I enroll? Please complete our brief expression of interest form.
- When should I enroll? As we will review responses on a rolling basis, we encourage you to complete the form by August 29.
- Who can I contact with questions? Please contact Diana Horvath at [email protected] with questions about enrolling or details about the training.