Dandelion Health strengthens the safety and fairness of healthcare AI by testing algorithms for bias and accuracy across diverse populations. Their platform helps ensure that AI tools perform reliably for older adults, people with lower incomes, and those in rural areas—groups often underrepresented in health data. This investment supports Dandelion’s efforts to make algorithm validation a standard step in developing tools that impact care in the home and community.
Laying the Foundation for Data to Inform AI/ML Solutions for Marginalized Populations
In the absence of formal AI regulations, multi-stakeholder coalitions like CHAI are helping uphold and incentivize effective governance and oversight with AI, bridging for-profit, government, and healthcare. This project defines what is needed to develop representative datasets and best practices for applying AI equitably in healthcare for vulnerable populations, with a focus on older adults in underserved and marginalized communities.
