Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education

Area of Science:

• Health Professions Education
• Artificial Intelligence in Education
• Faculty Development

Background:

• Generative AI (GenAI) is revolutionizing health professions education (HPE).
• Faculty developers (FD) can leverage GenAI to overcome resource limitations and promote equity.
• This article explores GenAI's role as a co-developer in FD.

Purpose of the Study:

• To provide a perspective on leveraging GenAI in faculty development.
• To outline actionable strategies for integrating GenAI across the FD lifecycle.
• To emphasize ethical considerations and human oversight in GenAI implementation.

Main Methods:

• Drawing on emerging literature and discussions from the 8th International Faculty Development Conference.
• Structuring applied insights around key phases of faculty development: planning, content creation, delivery, and evaluation.
• Identifying strategies for needs assessment, resource creation, personalized learning, and feedback.

Main Results:

• GenAI can assist in needs assessment, creating multilingual/culturally relevant resources, and developing personalized learning plans.
• Strategies address ethical challenges, emphasizing human oversight, contextual relevance, and continuous evaluation.
• GenAI facilitates co-design of educational materials and extends reach through innovative formats.

Conclusions:

• GenAI offers transformative potential for faculty development when integrated thoughtfully.
• Faculty developers can use GenAI to enhance educational quality and inclusivity in HPE.
• Ethical and equity-driven practices are crucial for successful GenAI adoption in FD.