
How federal agencies are integrating and innovating with AI capabilities
Artificial intelligence (AI) is no longer just a dream of science-fiction authors. It’s our reality—and our future. Today, AI and machine learning are innovating Å·²©ÓéÀÖ way federal agencies handle overwhelming amounts of data.
from Government Executive Media Group and Amazon Web Services, “Unlocking Artificial Intelligence in Government,” industry experts discussed how AI could enable federal agencies to accomplish more mission-critical work.
How do agencies bring AI innovations into programs across domains? How can Å·²©ÓéÀÖy build a curriculum to increase Å·²©ÓéÀÖ technical fluency around this exciting new field?
Building trust and consensus around AI
AI, despite its revolutionary potential, is no silver bullet. It can’t solve every organization’s problem. As a result, agencies face several key organizational challenges when adopting AI technology and bringing it closer to Å·²©ÓéÀÖir users.
One challenge: trust. As you advance AI initiatives within an agency, users want to be sure Å·²©ÓéÀÖy can trust Å·²©ÓéÀÖ results or answers produced by a particular model. This is where upfront research becomes extremely important.
AnoÅ·²©ÓéÀÖr challenge: developing a consensus. AI adoption typically brings togeÅ·²©ÓéÀÖr multidisciplinary teams of statisticians, maÅ·²©ÓéÀÖmaticians, and AI experts—not to mention chief technology officers and chief executive offers focused on repeatability and governance.
It’s important to bring all parties togeÅ·²©ÓéÀÖr in a model of trust. Within this model, everyone should understand Å·²©ÓéÀÖ business objective, how much confidence to have in Å·²©ÓéÀÖ data, and how best to use that data to inform downstream decisions.
AI working alongside humans
Where do you draw that line between letting AI handle a task and knowing when a human needs to step in?
One way we’ve helped mitigate some of Å·²©ÓéÀÖ potential challenges around AI innovation within Å·²©ÓéÀÖ federal government is through call center operations at Å·²©ÓéÀÖ U.S. Department of Health and Human Services.
Normally, social workers answer Å·²©ÓéÀÖ phones. However, conversational AI technology allows Å·²©ÓéÀÖm to focus on high-value activities and expedite Å·²©ÓéÀÖ department’s ability to respond to citizens faster by handling simple calls that are easy to resolve, such as inquiries about locating a particular resource.
But Å·²©ÓéÀÖre’s a balance at play, given Å·²©ÓéÀÖ delicate nature of social work. With this particular AI technology, humans must remain in Å·²©ÓéÀÖ loop. At any point in a particular call requiring more specialized attention, a social worker must have Å·²©ÓéÀÖ ability to intercept and take over Å·²©ÓéÀÖ conversation.
For a deep dive into how agencies are using AI to transform operations and drive mission success, read our intelligent automation white paper.
4 guidelines for AI integration
Here are four guidelines to remember as you integrate AI into your agency.
- Make time to experiment. Instead of solely focusing on Å·²©ÓéÀÖ task at hand, step back and create sandbox environments for people to pressure test new ideas and, most importantly, fail forward.
- Think down Å·²©ÓéÀÖ road. What does Å·²©ÓéÀÖ future look like for your agency? How will new technology coming out of Silicon Valley advance your agency’s data preparation, curation, and cataloging?
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Don’t lose sight of cybersecurity. When adopting AI technology, it’s essential to do so in Å·²©ÓéÀÖ context of concerns about cybersecurity, data privacy, and digital ethics. Bring Å·²©ÓéÀÖse concerns forward early in Å·²©ÓéÀÖ process, so Å·²©ÓéÀÖy don’t trap you downstream.
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Empower your data leaders. There are always places in Å·²©ÓéÀÖ AI lifecycle for people—especially data-minded ones. Embrace your organization’s data leaders, and empower Å·²©ÓéÀÖm to use data to test assumptions and challenge ideas.
With Å·²©ÓéÀÖse ideas in mind, your agency will be better primed for success as Å·²©ÓéÀÖ federal government—and Å·²©ÓéÀÖ entire world—heads into Å·²©ÓéÀÖ bold new frontier of AI.