Residency Applications in the Era of Generative Artificial Intelligence
Jenny Chen, Sarah N. Bowe, Francis Deng
Abstract
enerative artificial intelligence (GAI) refers to a subgroup of artificial intelligence (AI) systems trained on large collections of data to produce content that can be indistinguishable from that generated by humans.For medical educators involved in residency selection processes, the widespread availability of text-based GAI tools such as ChatGPT presents novel challenges surrounding concerns of accuracy, authenticity, and integrity when evaluating applications. [1][2]2][3][4] How should educational societies, residency programs, and program directors view the use of GAI in residency applications?In this article, we explore how applicants might use tools like ChatGPT during the application process and consider the potential implications for educators involved in resident selection.We ultimately argue that GAI tools like ChatGPT are a contemporary reality and applicants should not be restricted from using them to improve their applications.