Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Will ChatGPT Match to Your Program?
34
Zitationen
2
Autoren
2023
Jahr
Abstract
ChatGPT and other artificial intelligence word prediction large database models are now readily available to the public. Program directors should be aware of the general features of this technology and consider its effect in graduate medical education, including the preparation of materials such as personal statements. The authors provide a sample ChatGPT-generated personal statement and general considerations for program directors and other graduate medical education stakeholders. The authors advocate that programs and applicants will be best served by transparent expectations about how/if programs will accept application materials created using artificial intelligence, starting with this application cycle. Graduate medical education will have many additional factors to consider for the innovative use and safeguards for the ethical application of artificial intelligence in clinical care and educational processes. However, the exponential increase in the application of this technology requires an urgent review for appropriate management of program procedures, iteration of policies, and a meaningful national discussion.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.