Join other researchers interested in the intersection of statistical methods and health equity!

We are excited to host two engaging sessions on the role of Large Language Models (LLMs) and Generative AI in health equity research.

In the first session, we will explore how LLMs are currently being used in research and critically examine their potential impact on health disparities. Are these technologies helping to bridge gaps, or could they inadvertently reinforce existing inequalities? Through an open discussion, we will assess the risks and opportunities of AI in this space.

The second session will take a deeper dive into best practices for integrating LLMs into research responsibly. We will consider ethical challenges, bias mitigation strategies, and frameworks to ensure these technologies promote equity rather than exacerbate disparities.

Both sessions will be highly interactive, encouraging participants to share insights, debate key issues, and collaboratively explore solutions. Expect dynamic discussions, case studies,…