Editors’ notes

New Directions for EvaluationVolume 2023, Issue 178-179 p. 7-10 EDITORIAL Editors’ notes Sarah Mason, Sarah Mason University of Mississippi, Oxford, Mississippi, USASearch for more papers by this authorBianca Montrosse-Moorhead, Corresponding Author Bianca Montrosse-Moorhead [email protected] orcid.org/0000-0001-8566-0347 University of Connecticut, Storrs, Connecticut, USA Correspondence Bianca Montrosse-Moorhead, University of Connecticut, Storrs, Connecticut, USA. Email: [email protected]Search for more papers by this author Sarah Mason, Sarah Mason University of Mississippi, Oxford, Mississippi, USASearch for more papers by this authorBianca Montrosse-Moorhead, Corresponding Author Bianca Montrosse-Moorhead [email protected] orcid.org/0000-0001-8566-0347 University of Connecticut, Storrs, Connecticut, USA Correspondence Bianca Montrosse-Moorhead, University of Connecticut, Storrs, Connecticut, USA. Email: [email protected]Search for more papers by this author First published: 03 November 2023 https://doi.org/10.1002/ev.20563Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES Leeuw, F. L. (2020). Program evaluation B: Evaluation, big data, and artificial intelligence: Two sides of one coin. In E. Vigoda-Gadot & D. R. Vashdi (Eds.), Handbook of research methods in public administration, management and policy (pp. 277–297). Elgar. Mason, S. (2023). Finding a safe zone in the highlands: Exploring evaluator competencies in the world of AI. New Directions for Evaluation, 2023(178–179), 11–22. OpenAI. (2022). ChatGPT (November 2022 version) [Large language model]. Retrieved from http://chat.openai.com/chat Teasdale, R. M. (2021). Evaluative criteria: An integrated model of domains and sources. American Journal of Evaluation, 42(3), 354–376. https://doi.org/10.1177/1098214020955226 Teasdale, R. M. (2022). Representing the values of program participants: Endogenous evaluative criteria. Evaluation and Program Planning, 94, 102123. https://doi.org/10.1016/j.evalprogplan.2022.102123 Teasdale, R., Strasser, M., Moore, C., & Graham, K. (2023). Evaluative criteria in practice: Findings from an analysis of evaluations published in evaluation and program planning. Evaluation and Program Planning, 97, 102226. https://doi.org/10.1016/j.evalprogplan.2023.102226 Thornton, I. (2023). A special delivery by a fork: Where does Artificial Intelligence come from? New Directions for Evaluation, 2023(178–179), 23–32. Volume2023, Issue178-179Special Issue: Evaluation and Artificial IntelligenceSummer-Fall 2023Pages 7-10 ReferencesRelatedInformation