GlassBury AI combines agentic patient matching with culturally sensitive community education to eliminate healthcare disparities. By pairing AI with expert-curated workshops, we build the trust necessary to connect underrepresented patients with life-changing clinical trials.
The Age of Fairness: Recalibrating Predictive Policing AI for a Just Future
This research critically examines algorithmic fairness in predictive policing, addressing the escalating concern of societal biases amplified by AI technologies. Through a comprehensive systematic literature review, the study identifies critical gaps in bias mitigation beyond race, specifically concerning age, gender, and socio-economic status
The concept of "fairness" in algorithms is a complex and increasingly critical topic
At its core, an algorithm is a set of rules or instructions that a computer follows to perform a task or solve a problem. In the context of AI, these algorithms often "learn" from vast amounts of data to make predictions or decisions. For example, a machine learning algorithm might be trained on historical loan application data to decide who qualifies for a loan