The list of government AI use cases has ballooned by 70% since Biden left office and includes many plans to hand over sensitive governmental functions to AI

On 14 April, the Trump administration quietly acknowledged the widespread use of AI to automate government processes. The office of management and budget (OMB) disclosed a staggering 3,611 active or planned use cases for AI across the federal government. The list has ballooned by 70% from the one published in the final year of the Biden administration, and includes many disturbing-seeming plans to hand over sensitive governmental functions to AI.

Scanning this list, many readers may find many causes for alarm. It represents a transfer of decision processes from human to machine on a massive scale over matters of individual freedom, public health and wellbeing, nuclear reactor safety and more.

Nathan E Sanders is a data scientist affiliated with the Berkman Klein Center of Harvard University and co-author, with Bruce Schneier, of the book Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship. Bruce Schneier is a security technologist who teaches at the Harvard Kennedy School at Harvard University and University of Toronto’s Munk School