Phase 1 Submissions Due July 31, 2026, by 5:00 p.m. ET to ChallengeAI@acl.hhs.gov.
Applicant Information
- Team name/organization
- AI solution name
- Main point of contact name
- Contact email
- Contact phone
- Team member names
- Track
Abstract
Suggested 250 words or fewer
Project Narrative
Section 1: Understanding of Need and Solution Design
- Clearly describe the specific challenges your solution addresses and explain why these challenges are significant to the overall caregiver experience.
- Describe the AI-enabled tool(s) and how they help caregivers overcome daily challenges or help organizations create efficiencies. Include a description of the existing and new methods of AI technologies or methods that were used, combined, or built upon to design the proposed solution.
- Describe the AI current stage of development. AI-enabled tools should be at Technology Readiness Level 3 or higher to be eligible for this opportunity. Include:
- An explanation of how the solution was designed with input from end users (e.g., caregivers, care recipients, organization staff).
- Promising data, research, or prior work that supports the solution’s design.
Section 2: Implementation Approach
- Outline how the solution will be implemented and tested, measured, and evaluated to demonstrate real-world viability. Include:
- Deployment readiness and feasibility. Consider including identification of key elements contributing to success, such as partnerships, technical tasks, and rollout activities.
- Plans to incorporate user-centered design in the implementation, testing, and refinement of the AI solutions.
- Timeline for achieving a complete solution, including milestones and goals.
- Team member roles and expertise, described in a brief biographical sketch highlighting relevant experience and expertise, current affiliation (institution, organization, company), and their role and contribution to the proposed solution.
- The process the team will use to test and adapt the solution to demonstrate alignment with the Challenge Priorities and AI Principles.
- Metrics and procedures for measuring performance that adhere to expectations for data privacy and algorithm performance over time.
- Evaluation and continuous improvement plan, including plans for gathering input and feedback from end users (e.g., caregivers, older adults, individuals with disabilities, providers, organization staff).
- Include information about safety and bias mitigation monitoring.
Section 3: Usability and Integration
- Explain how the design prevents user errors and supports human judgment.
- Describe transparency features (how users understand what the system is doing).
- Detail plans for realistic usability testing.
- Describe integration into target environments (e.g., home, organizations).
- Address interoperability with EMRs, health systems, or assistive devices (if applicable).
Section 4: Alignment with Caregiver AI Principles
- Show how your AI solution does or will align with the Caregiver AI Principles.
Section 5: Meritorious Prize Eligibility (Optional)
- If applicable, explain how your solution addresses one or more of the meritorious focus areas as a central part of your design or process.