AI-enabled Communication to Advance Research Engagement (AI-CARE)
Part of paid clinical trials in The Bronx, New York.
- Sponsor
- Albert Einstein College of Medicine
- Study ID
- NCT07788898
- Status
- Not Yet Recruiting
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Conditions
- AI Literacy
- Research Communication
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Accepted
Interventions
- Community co-created AI summaries — BEHAVIORALParticipants review AI-generated summaries refined through iterative collaboration between researchers and community members using community-engaged co-design principles.
- Experimental: Researcher prompt engineering — BEHAVIORALParticipants review AI-generated summaries generated after researchers complete AI prompt-engineering training and develop optimized prompts.
- Experimental: Standard AI prompt — BEHAVIORALParticipants review plain-language research summaries generated using a standardized AI prompt without researcher prompt engineering or community co-design.
- AI literacy training and co-design — BEHAVIORALThe co-designed summaries which result from this process will become one of the three intervention conditions evaluated in Aim 3.
Study Details
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.
Key Dates
- First listed
- Aug 27, 2026
- Start date
- Sep 1, 2026
- Status verified
- Aug 2026
- Primary completion
- Sep 1, 2028
- Completion
- Sep 1, 2028
Study Design
- Enrollment
- 250 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- OTHER
Arms
- Experimental: Standard AI prompt - Aim 3Participants receive plain-language research summaries generated using a standardized AI prompt without researcher prompt engineering or community co-design.
- Experimental: Researcher prompt engineering - Aim 3Participants receive summaries generated after researchers complete AI prompt-engineering training and develop optimized prompts.
- Experimental: Community co-created AI summaries - Aim 3Participants receive summaries developed through an iterative community-researcher co-creation process following AI training and structured co-design sessions.
- Experimental: Co-creation cohort - Aim 2Participants 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.
Primary Outcome Measure
Confidence in medical research and researchers - Aim 3 [ Time Frame: Immediately following review of research summary, up to 1 hour ]
Central Contacts
- Jessica Kahn, MD, MPH718-430-4317
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Albert Einstein College of Medicine | The Bronx | New York | 10461 | - |