Presented By: Vijay Rajput, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine
Co-Authors: Vanessa D'Amario, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine
Jorge Cervantes, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine
Mohammadali Mohajel Shoja, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine
Tanya Ramadoss, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine
Blake Smith, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine

Purpose
Generative AI (GenAI) is an innovative technology with major impact on faculty and learners in medical education. This work aims to measure the perception of GenAI among medical educators, to gain insights on major advantages and concerns.

Methods
A survey has been distributed across the colleges of allopathic and osteopathic medicine within single university during fall of 2023. The survey was developed by authors that comprises twelve items among those the role of GenAI for students and educators, the need to rethink teaching approaches, perceived advantages, applications of GenAI in the educational context, concerns, challenges, and trustworthiness.

Results
Preliminary results were collected from 48 faculty. They show a positive attitude towards GenAI and disagreement on GenAI having very negative effect on either the students educational experience or the faculty. 41.6% respondents never used GenAI, while the majority relied on GenAI for text generation. The majority agrees that GenAI is likely to change their role as educator. The overwhelming majority of the faculty agrees on the lack of guidelines for safe use of GenAI, from both a governmental and an institutional standpoint. The ability to conduct more efficient research, task automation, and increased contents accessibility are perceived as greatest strengths of GenAI. Among the main perceived challenges are cheating, the GenAI tendency of making errors, and privacy concerns. While consulting GenAI is not necessarily cheating, responders agree that copy-and-paste from GenAI constitutes cheating. While the results show strong polarity, the limitation of this study is that less than half of the group under study filled the survey.

Conclusion
Although GenAI is a newly available technology, most respondents acknowledge the impact of GenAI in education. There is general agreement that plagiarism and lack of regulations are two major areas of concerns. We expect to collect more data in the near future.