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| 27 Feb 2026 | |
| Publications |
How are you to assess an AI tool’s usefulness, ethical development, and most importantly, its impacts on users? In a white paper for the Data Foundation’s Center for Evidence Capacity, Senior Fellow Lauren Damme, Ph.D. shares the development of EvalAssist, an open-source model to support rigorous study design for early career evaluators. Her journey began with the aim of testing and releasing a simple GPT model, but led to the development of a new, human-centered framework for evaluating AI assistance tools.
Learn more about the project to develop a simple custom GPT to support early career evaluators in developing and designing program evaluations.
