The future of dermatological research: ethical implications of artificial intelligence integration for medical students
This letter examines the increasing reliance on artificial intelligence (AI) tools like ChatGPT among medical students in dermatology research, driven by the competitive nature of residency matching. While AI can significantly boost research productivity, it also introduces ethical concerns, including risks of academic dishonesty, data privacy issues, and potential over-reliance on technology that may undermine students’ critical thinking and intellectual development. Balancing the benefits of AI with a commitment to ethical standards is crucial to preserving the integrity and quality of medical research.
Authors
- T. Austin Black (ORCID: https://orcid.org/0000-0001-9685-5078)
- Nayna Nambiar
- Rashid M Rashid
- Alisha Kashyap (ORCID: https://orcid.org/0000-0002-6573-1571)
- Amna Ali
- Emelie N McQuitty
Institutions
- Houston Forensic Science Center (US)
- The University of Texas Health Science Center (US)
- Rice University (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Clinical and Experimental Dermatology
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1093/ced/llae523
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12