Making Government Procurement of AI More Democratic

A look at current efforts to develop new approaches to government tech procurement suitable for the age of AI.

The standard government agency procurement process was devised to eliminate graft and cronyism, reduce costs, and enable fair bidding opportunities. But some say those systems don’t cut it when it comes to government use of AI systems.  Whether used to automate responses to constituent letters, for taxation purposes, or in predictive policing risk assessments, by the very nature of their automated decision making, AI creates policy. This is why some are pushing for more democratic processes for AI procurement and partnerships.

RedTail’s Kate Kaye recently wrote about efforts from UC Berkeley law professors, AI Now Institute, Sunlight Foundation and others to guide new approaches to government procurement and use of AI.

Read it on

About Kate Kaye

Kate Kaye is a journalist who tells deeply-reported stories with words and sound. Her work has been published in Protocol, MIT Technology Review, CityLab, OneZero, Fast Company, and many other outlets, and it’s been heard on NPR, American Public Media’s Marketplace and other radio programs and podcasts. Kate has been interviewed about her work across the media spectrum from Fox’s Stossel show to Slate and NPR’s Weekend Edition. Follow Kate Kaye on Twitter:

0 comments on “Making Government Procurement of AI More Democratic

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.