The Government Accountability Office (GAO) is using its innovation lab to leverage artificial intelligence (AI) and machine learning (ML) technologies to identify and mitigate burnout in the federal workforce due to the coronavirus pandemic, a Government Accountability Office official said during October. 5 events organized by the Federal News Network.
Tim Pearsons, chief scientist and managing director of the GAO Office of Science, Technology Assessment and Analytics team, said his team serves as the “actors, analysts, and futures” of artificial intelligence in the federal government and Congress.
Speaking about GAO’s work with the Innovation Lab, he said the agency has plans in the next two to three years to move production from a small company to an expanded operation.
People continued, “For us, there’s going to be a lot of prototyping that’s being rolled out, a production process that puts it in the enterprise and that expands it across the enterprise, and the idea is that we solve some major challenges.”
A top priority for the GAO is depletion of federal personnel.
“Our first priority is to build on culture [AI]And it starts with trying to figure out problems,” people said. “Why are the feds exhausted, and are there things in their workplace that a machine should do? It will be more accurate and it will be faster.”
“It will allow them to be better versions of themselves. It is kind of a human capital enhancement approach.
One of the AI tools that GAO actively uses to facilitate the jobs of its employees — and a smoother experience for agency clients — is the Writing Style Tool. He demonstrates the tool’s prototype “the GAO way,” adding that the tool includes sentiment analysis that takes words from federal agencies and translates them into accessible language for both lawmakers and clients using oversight body reports.
At the same event, Head of Air Data and Lead Artificial Intelligence Officer. General John Olson called AI the “North Star” that drives his vision of information and decision-making.
Olson said the Air Force aims for AI readiness in 2025, and AI leadership and competitiveness in 2027.
“This means becoming a world leader in responsible AI and ethical application,” he said. “We look at this as the three elements: responsible AI, strong AI, and resilient AI.” He said these elements are necessary for the Department of Defense to compete and win against global opponents.
One of the priorities that the Air Force is actively working towards is called “wingman AI”.
The concept, Olson said, is to enhance artificial intelligence to make pilots and guardians more effective by teaming up with humans to gain information, decision-making, and actionable results.
“The rate at which data analytics, artificial intelligence, machine learning, and deep learning capabilities are being implemented is a broad focus across the Department of the Air Force,” Olson continued, “It is absolutely essential to work collaboratively, and we believe it is this collective athletic leadership to achieve these results at a pace.” Very fast – making sure we are responsible, strong and flexible throughout the journey.”