AI-enabled Communication to Advance Research Engagement (AI-CARE)
NCT07788898 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250
Last updated 2026-08-27
Summary
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.
Conditions
- AI Literacy
- Research Communication
Interventions
- BEHAVIORAL
-
Community co-created AI summaries
Participants review AI-generated summaries refined through iterative collaboration between researchers and community members using community-engaged co-design principles.
- BEHAVIORAL
-
Experimental: Researcher prompt engineering
Participants review AI-generated summaries generated after researchers complete AI prompt-engineering training and develop optimized prompts.
- BEHAVIORAL
-
Experimental: Standard AI prompt
Participants review plain-language research summaries generated using a standardized AI prompt without researcher prompt engineering or community co-design.
- BEHAVIORAL
-
AI literacy training and co-design
The co-designed summaries which result from this process will become one of the three intervention conditions evaluated in Aim 3.
Sponsors & Collaborators
-
National Center for Advancing Translational Sciences (NCATS)
collaborator NIH -
Albert Einstein College of Medicine
lead OTHER
Principal Investigators
-
Jessica Kahn, MD, MPH · Albert Einstein College of Medicine
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-09-01
- Primary Completion
- 2028-09-01
- Completion
- 2028-09-01
Countries
- United States
Study Locations
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