Henderson v. Social Security Administration, Commissioner

On March 13, 2026, the United States District Court for the District of Columbia heard oral arguments in Henderson v. Social Security Administration, Commissioner. John Henderson, a 58-year-old former mechanic with progressive multiple sclerosis, sued after the SSA denied his disability benefits claim solely through the Automated Adjudication Protocol (AAP), an artificial intelligence system that evaluates medical evidence without human intervention. Henderson argued that the AAP’s opaque process violated his Fifth Amendment due process rights and the Administrative Procedure Act, because claimants could not examine the algorithm’s logic or challenge its results. The SSA maintained the AAP was essential for managing a backlog of over one million cases and produced more consistent outcomes than human adjudicators. Civil rights organizations submitted amicus briefs showing the AAP denied benefits to racial minorities and non-native English speakers at significantly higher rates, indicating algorithmic bias. Henderson sought declaratory and injunctive relief, demanding de novo human review of all denials and disclosure of the algorithm’s decisional factors. The case marked a pivotal constitutional challenge to the use of “black-box” AI in government safety-net programs.

On June 1, 2026, the district court ruled in favor of Henderson, finding that the SSA’s algorithm denied claimants a meaningful opportunity to be heard. The court ordered the SSA to implement human-led redetermination procedures and to disclose the key factors and weights used by the algorithm. The SSA filed a notice of appeal to the D.C. Circuit.

Whether the Social Security Administration’s exclusive reliance on an opaque artificial intelligence algorithm to deny disability benefits without meaningful human review violates the Due Process Clause of the Fifth Amendment and the Administrative Procedure Act.

The ruling prompted immediate calls for federal legislation on algorithmic accountability in public benefits. Several states paused their own automated decision systems, and the case ignited nationwide debate about AI fairness, transparency, and the rights of vulnerable populations. It also became a central reference in global policy discussions on governing artificial intelligence in government administration.