Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT Description An account of the resource This was an empirical study that aimed to characterize evidence of gender bias in ChatGPT. Understanding social biases in generative AI is key to understanding of human flourishing in the age of AI. Creator An entity primarily responsible for making the resource Deanna M Kaplan; Roman Palitsky; Santiago J Arconada Alvarez; Nicole S Pozzo; Morgan N Greenleaf; Ciara A Atkinson; Wilbur A Lam Source A related resource from which the described resource is derived https://www.jmir.org/2024/1/e51837 Publisher An entity responsible for making the resource available Journal of Medical Internet Research Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Deanna K. from Atlanta, GA