The Ethical Challenges In The Integration Of Artificial Intelligence And Large Language Models In Medical Education: A Scoping Review - Info and Reading Options
By Xiaodan Yan
“The Ethical Challenges In The Integration Of Artificial Intelligence And Large Language Models In Medical Education: A Scoping Review” Metadata:
- Title: ➤ The Ethical Challenges In The Integration Of Artificial Intelligence And Large Language Models In Medical Education: A Scoping Review
- Author: Xiaodan Yan
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- Internet Archive ID: osf-registrations-65tyd-v1
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The Internet Archive:
The concept of Artificial Intelligence (AI) was first proposed in the Dartmouth Conference in the 1950s, and now refers especially to the technology of simulating human intelligence through algorithms and data analysis. With the rapid development of AI technology, Large Language models (LLMS) have also developed rapidly in various fields, and ChatGPT, launched by OpenAI, has shown excellent performance in the field of medical education. Artificial intelligence and large language models can provide personalized and interactive learning experiences by integrating and analyzing data, which plays a huge role in the field of medical education. Artificial intelligence and large language models provide potential advantages in medical education. However, as a promising field, it also brings some ethical challenges. Privacy, autonomy and transparency have become the key issues of integrating artificial intelligence and large language models in medical education. Patients' right to know and privacy security issues, technology accessibility and affordability, responsibility division issues have become its key ethical challenges. This review aims to focus on the challenges of integrating artificial intelligence and large language models in medical education, analyze the ethical problems contained in them, and explore feasible solutions. Therefore, we conducted a scoping review of the existing literature to understand the main ethical challenges of AI and LLM in medical education and to provide guidance for future applications in academia.
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- Added Date: 2025-03-08 22:01:22
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