Creating Transparency and Fairness in Automated Decision Systems for Administrative Agencies
Summary
Artificial intelligence is increasingly being used to make decisions about human welfare. Automated decision systems (ADS) administer U.S. social benefits programs—such as unemployment and disability benefits—across local, state, and Federal governments. While ADS have the potential to enable large gains in efficiency, they also run a high risk of reinforcing the class- and race-based inequities of the status quo. Additionally, the use of these systems is not transparent, often leaving individuals with no meaningful recourse after a decision has been made. Individuals may not even know that ADS played a role in the decision-making process.
The Federal Government should take immediate action to promote the transparency and accountability of automated decision systems. Agencies must build internal technical capacity as well as data cultures centered around transparency, accountability, and fairness. The White House should require that agencies using ADS undertake a notice-and-comment process to disclose information about these systems to the public. Finally, in the long-term, Congress must pass comprehensive legislation to implement a single, national standard regulating the use of ADS across sectors and use cases.
At this inflection point, the choice is not between speed and safety but between ungoverned acceleration and a calculated momentum that allows our strategic AI advantage to be both sustained and secured.
Improved detection could strengthen deterrence, but only if accompanying hazards—automation bias, model hallucinations, exploitable software vulnerabilities, and the risk of eroding assured second‑strike capability—are well managed.
A dedicated and properly resourced national entity is essential for supporting the development of safe, secure, and trustworthy AI to drive widespread adoption, by providing sustained, independent technical assessments and emergency coordination.
Congress should establish a new grant program, coordinated by the Cybersecurity and Infrastructure Security Agency, to assist state and local governments in addressing AI challenges.