The Justice Department escalated its medical school admissions enforcement, alleging Yale University’s School of Medicine discriminated against applicants by unlawfully giving Black and Hispanic candidates an advantage while using racial proxies that the agency says circumvent the Supreme Court’s 2023 ban on race-conscious admissions. The DOJ said its year-long investigation found higher admission probabilities for Black and Hispanic applicants compared with White and Asian applicants with similar profiles. Yale said it would review the DOJ’s letter, while the School of Medicine defended the program as based on academic achievement and personal commitment. The complaint arrives as the Trump administration continues to prioritize enforcement of the Supreme Court ruling and is also investigating other medical schools, including UCLA, Stanford, Ohio State, and UC San Diego. Separately, the broader AI policy environment is still lacking clarity, with the U.S. now producing far more AI legislation than in the prior decade while states adopt increasingly different safety and governance frameworks. The resulting patchwork—plus reversals in federal positioning—means compliance planning for education and research institutions building or using AI remains difficult. For higher education, the common thread is compliance risk: medical admissions policy faces federal litigation and investigations, while AI development and deployment continues to run ahead of consistent testing and regulatory standards.