Beyond the $2.5 Billion: The Urgent Need for AI Information Oversight in Healthcare
Recent industry reports from Becker’s Healthcare highlight a massive shift: insurers like UnitedHealth and Elevance are betting over $2.5 billion on AI to automate everything from prior authorizations to member navigation. By 2026, systems like 'Avery' are expected to reach 20 million members . While the efficiency gains are touted at 70% , as a researcher in Administrative Chrononormativity , I must ask: Who is auditing the data behind these gains? Efficiency without equity is simply the automation of erasure. My work with the EACAD and DACLAC has already uncovered significant 'blind spot' data, such as the 38% of LGBTQIA+ elders who fear they won't qualify for services. If these $2.5 billion systems are trained on exclusionary historical data, they will continue to penalize Black and LGBTQ+ communities at scale. At The Policy Nexus , we advocate for a new standard: AI information oversight. We must move toward frameworks that ensure the 'administrative c...