Unlock the Possibilities of Generative AI for Health Communication Research | RTI Tech Talk Webinar
Date
In a short period of time, generative AI tools—such as ChatGPT—have garnered tremendous interest among the media and the general public. While there is considerable debate about the promises and perils of this emerging technology, these tools continue to grow in popularity, requiring us to critically examine how they work. How might these innovative tools impact your health communication research?
The Unlock the Possibilities of Generative AI for Health Communication Research webinar, part of the RTI Tech Talk series, explored the potential benefits, opportunities, and use cases of these innovative tools for getting research insights faster. The presenters discussed the strengths and limitations of ChatGPT compared to traditional, gold standard approaches for coding of unstructured text—such as Tweets, blog posts, and news media—and generating plain language summaries of health information.
During the webinar, attendees gained an understanding of:
- sample ChatGPT prompts for coding text and producing plain language synopses;
- how federal health agencies are approaching the use of generative AI for communication research; and
- the challenges and limitations of generative AI and key areas of future research and consideration.
Current case studies using generative AI tools are exploratory only and should not be used for any other purpose.
Meet the Moderator
Annice Kim, PhD
Annice Kim is a Senior Scientist and Director for Communication and Media Impact at RTI International. Dr. Kim leads interdisciplinary research teams to design and evaluate the impact of digital and social media health education campaigns for federal, state, and local health agencies on topics ranging from tobacco to opioids. She works closely with RTI data scientists to develop new methods that can inform public health surveillance and regulatory policies in the digital age.
Meet the Presenters
Robert Chew
Robert Chew is a Senior Research Data Scientist and Program Manager at RTI International. Mr. Chew leverages his expertise in machine learning, data visualization, software development, and computational social science to help federal agencies solve complex data problems. He has successfully integrated data science into projects across health care, criminal justice, public health, and the environment. Mr. Chew was recently named a Bureau of Labor Statistics Senior Research Fellow.
Mario Navarro, PhD
Mario Navarro is a Lead Health Scientist at the U.S. Food and Drug Administration (FDA). Dr. Navarro has a PhD in Psychology with a concentration in Applied Social Psychology from Claremont Graduate University. Since 2016, Dr. Navarro has worked as a part of the Division of Research and Evaluation in the Office of Health Communication and Education in the FDA's Center for Tobacco Products. Currently, he leads the Market Intelligence Team, which utilizes sales data, ad expenditure data, large secondary data sets, and web and social media data.
Stephanie McInnis
Stephanie McInnis is a UX Researcher at RTI International. Ms. McInnis specializes in qualitative research, social media listening and recruitment, communication strategy, and digital product development to address public health disparities and health literacy. She also tests websites with end users and coordinates with designers, developers, and content writers to meet users where they are.