Driving Rapid AI Adoption in Federal Government

by: Mitchell Sutika-Sipus, Chief Solution Architect at AutogenAI
Every other week I travel to some part of the United States to meet leadership at the Pentagon, the White House, and various government agencies like the Government Services Administration. I do this because I want to understand the challenges our customers face in winning US contracts. With less federal funding and increasingly fierce competition, I want to capture any insight I can glean to give our customers a market advantage.
During the hundreds of meetings, I have learned a lot about the state of AI adoption within the US federal government. This is not a new topic for me as I architected many of these systems as a former Presidential Innovation Fellow, but these systems are constantly evolving and so are the challenges.
For example, within federal procurement, experiments on the use of AI to create and review proposals have been fragmented. Constant changes in government policies also continue to impact what experiments are pursued and which are avoided. While there is a general consensus across many agencies and offices that AI has a value for government benefit, the goals are ambiguous as are the paths to execution. Inversely, among our customers, a deep rooted paranoia exists that the US Government will someday restrict the use of AI within proposal writing.
AutogenAI has encouraged The White House Office of Science and Technology Policy to develop a clear stance on the approval of AI within federal business, to reduce the sense of risk and reinforce market interests.
Effective leadership on the value, not just the risks, of AI is fundamental within American policy.
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