AI-Enabled Communication for Research Communication
(AI-CARE Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
The objective of AI-CARE is to train researchers and community members to use artificial intelligence (AI) to create plain-language summaries of research studies and to determine whether a co-creation process for developing these summaries improves understanding and relevance of the research, confidence in AI and in institutions, and AI literacy. The hypothesis is that AI-generated research summaries, co-developed with researchers and community partners, will significantly improve confidence in research and institutions, understanding and accessibility of the research, and appropriateness of the summary compared with standard researcher-generated materials, and that the educational and co-creation process will build community members' AI literacy and confidence in using AI, as well as researchers' readiness to use and comfort with using AI for communicating research.
Who Is on the Research Team?
Jessica Kahn, MD, MPH
Principal Investigator
Albert Einstein College of Medicine
Are You a Good Fit for This Trial?
This trial is for English-speaking adults aged 18 or older who have not had formal training in AI prompt engineering and are able to give informed consent.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Co-creation Process
Participants engage in structured co-creation sessions to develop AI-generated research summaries.
Review and Feedback
Participants review AI-generated summaries and provide feedback to refine prompts and outputs.
Follow-up
Participants are monitored for changes in confidence and comprehension after the co-creation process.
What Are the Treatments Tested in This Trial?
Trial Overview
The study tests different ways of using AI to create easy-to-understand research summaries. It compares standard AI prompts, community co-created summaries, and researcher-designed prompts to see which improves understanding and trust the most.
How Is the Trial Designed?
4
Treatment groups
Experimental Treatment
Participants receive plain-language research summaries generated using a standardized AI prompt without researcher prompt engineering or community co-design.
Participants receive summaries generated after researchers complete AI prompt-engineering training and develop optimized prompts.
Participants receive summaries developed through an iterative community-researcher co-creation process following AI training and structured co-design sessions.
Participants will be divided into three groups, each assigned 1-2 research summaries, and will engage in structured co-creation sessions. The goals of will be to: 1) define readability and appropriateness, 2) review AI-generated drafts produced by the summary engine, and 3) provide feedback to refine prompts and outputs. Several iteration cycles will be conducted as needed, with documentation of any changes and the rationale for making decisions. In this way the team will develop a modular AI "summary engine" that transforms research products (e.g., manuscripts) into draft community-facing materials using co-created prompts and templates. Co-creation will be conducted during one or two facilitated sessions. Each session will include structured review of drafts, guided discussion, and documented decisions regarding readability, transparency, visuals or graphics, etc. Iteration cycles will continue until pre-specified stopping criteria are met.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Albert Einstein College of Medicine
Lead Sponsor
National Center for Advancing Translational Sciences (NCATS)
Collaborator
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