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Made in the open, for care.

GiveCare Labs works in the open on AI safety, care infrastructure, policy, and culture.

A magnifying glass over a printed grid, one cell marked in orange.

Flagship

InvisibleBench

InvisibleBench tests how AI responds to scripted caregiver conversations. Its checks look at the caregiver and the person receiving care together. Safety and Care are reported separately. Each verdict sits beside quoted transcript evidence and a reason. There is no composite score and no model rank.

Model judgments can be wrong. The benchmark does not measure clinical outcomes.

“…the future of caregiving research and practical support for caregivers.”
Sharon Anderson, PhD, Aging and Family Gerontology

Programs

Briefings

Work with Labs

For funders, researchers, care organizations, and AI labs.

  • Fund the work. Support open work on AI safety, care infrastructure, policy, and culture.
  • Build on the data. Use the benefits data, answers, and measures in your own work.
  • Test a model. The method and code are open. Ask us about running it on a model you care about.
  • Cite or reuse. Cite the paper. The code and public scenarios are on GitHub.

Get in touch

Who’s behind Labs

Ali Madad

Board-Certified Patient Advocate. Author of the InvisibleBench paper. Lead of CHAI’s Mental Health Chatbot Work Group and advisor to CAN’s Caregiver Innovation Council.

His story →