Generative AI such as ChatGPT has prompted conversations about the ethics of knowledge generation and the use of AI in research and evaluation. This discourse provides another opportunity to center equity in our work by asking, how can researchers and evaluators contribute to the public good in an AI world?

This presentation highlights contextual concerns with AI from an ecosystem perspective, placing emphasis on structural and racial/ethnic inequities, bias, and prejudice. Dr. Reid issues a clarion call for the field to be proactive, embrace our professional responsibility and critical voice, and employ evidence-based practice to incite change. Researchers and evaluators are encouraged to exercise our social and political responsibility through courageous leadership and advocacy to attend to the values of stakeholders and to advance an equitable AI world.