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

## TL;DR

This paper explores how generative AI can support faculty development in health professions education by improving accessibility, personalization, and inclusivity.

## Contribution

The paper introduces actionable strategies for integrating GenAI into faculty development across planning, delivery, and evaluation phases.

## Key findings

- GenAI can aid in multilingual and culturally relevant resource creation for diverse educational contexts.
- Personalized learning plans and feedback can be enhanced through GenAI tools with human oversight.
- GenAI supports innovative formats for extending the reach of faculty development initiatives.

## Abstract

Generative AI (GenAI) tools are transforming health professions education, offering opportunities to enhance faculty development (FD). Faculty developers are uniquely positioned to integrate GenAI into practice to address resource constraints, improve accessibility, and foster equity across diverse educational contexts. This Applied Insights article offers a perspective on how GenAI can be leveraged as a co-developer in FD by drawing on emerging literature and discussion points from a workshop at the
8th International Faculty Development Conference in the Health Professions.

The applied insights are structured around key phases of FD: planning, content creation, delivery, and evaluation. They include actionable strategies for using GenAI in needs assessment, multilingual and culturally relevant resource creation, personalized learning plans, and when providing feedback and mentorship. Each insight is rooted in pedagogical rationale, evidence, and strategies to address ethical and practical challenges, with an emphasis on human oversight, contextual relevance, and continuous evaluation of GenAI’s impact.

By considering these insights, faculty developers can harness GenAI to co-design educational materials, extend their reach through innovative formats, and maintain ethical and equity-driven educational practices. This article highlights the transformative potential of GenAI in FD when thoughtfully integrated. GenAI can empower faculty developers to enhance the quality and inclusivity of HPE while safeguarding educational standards.