J-PAL 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 nonprofit decision-makers and J-PAL experts who can support in the design and use of impact evaluations.

Who is this course for?

The course is designed for decision-makers in nonprofits and social enterprises around the world working with generative AI solutions and seeking to understand their impact. The concepts and strategies discussed in the course will be most useful for leaders and senior staff whose roles focus on designing, implementing, or evaluating AI solutions for social good, and who are positioned to integrate learning into program or product strategy. 

Not sure if this course is the right fit for you? Contact [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 and workshop sessions on how to generate rigorous evidence to inform decision-making. Through hands-on technical assistance from J-PAL staff, participants will work to solidify lecture concepts and have the opportunity to discuss how they might apply these to their work. 

Cohort participants can expect to: 

• Develop a foundational understanding of impact evaluation
• Build skills for using evidence and embedding evaluation in AI solutions
• Engage with a network of peers and J-PAL staff to map out an evaluation strategy for their own AI solutions

Participants who decide to explore a randomized evaluation will 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 >>

Fees

The course is free for accepted applicants.

Key information

• How can I apply? You can complete an expression of interest form here.
• What is the application deadline? Applications will close on August 22, but as spots in the course are limited and applications are reviewed on a rolling basis, we encourage you to apply as soon as possible.
• What is the criteria for admission? Although we have no fixed requirements, selection for admission is based on applicants’ organizational responsibilities and organizations’ alignment with J-PAL’s mission of reducing poverty through evidence-informed solutions.
• Where can I find more information on the course? For further information on details about the course, please contact Diana Horvath at [email protected].