Diversity Initiatives

Addressing the Bias in AI and Health Equity

The Health AI Assurance Lab recognizes that biased data sets and social determinants of health significantly impact the effectiveness and fairness of AI systems in healthcare. We understand that these biases can perpetuate disparities in care and outcomes, particularly for marginalized communities. Our work focuses on mindfully assessing and addressing these issues by implementing rigorous evaluation processes for AI systems. By prioritizing diverse and representative data and considering social determinants of health, we aim to ensure that our AI solutions not only enhance patient safety but also promote equity and inclusivity in healthcare delivery. Through our commitment to addressing bias, we strive to build AI systems that serve all populations fairly and effectively.