As Doors Open…Citizens Still Want to Meet Online

As we emerge from the isolation of the pandemic and begin interacting in person again, it will be in a world that looks and feels a lot different. While we crave human interaction, that does not mean we want to go back to standing in lines at office buildings to complete certain tasks. Over the past year, people have gotten used to doing things virtually. Government agencies have made incredible progress moving traditionally manual, paper-intensive, in-person processes online, and there's no reason that should stop now that in-person is an option.

Additionally, the ability to get information online will continue to be an expectation of citizens. During the pandemic, local, state, and federal agencies quickly got data out to citizens regarding COVID cases, restrictions, and later vaccinations to help inform and shape behavior. In fact, Ohio had a jump on many states. They had launched Ohio Checkbook well before the pandemic to provide anyone a look at real-time state budgeting, financial and transactional data. Using that as a starting point, they quickly launched their COVID portal. Post-pandemic, all government agencies need to look at how the COVID data systems can be used to get other critical information and communication to the public about transportation, human services, workforce and more.

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Using AI to Modernize Old Techniques

Artificial Intelligence is being implemented across government to modernize and automate traditional manual processes. For many organizations, this means taking paper-based, tedious, error-prone tasks and turning them over to a machine for automated completion. Beyond using AI to hand off tasks best completed by machines -- those that are rote and repetitive -- agencies are also looking at ways to introduce the technology into already complex human-driven activities to make them even more effective and efficient.

Researchers at Dartmouth College's Department of Computer Science have taken a technique that proved valuable in WWII and applied AI to extend the usefulness of the method. A canary trap is a technique that plants different instances of false information in documents. If one of those documents is leaked, the canary will "sing," identifying the leaker. For example, in WWII British intelligence agents planted false documents on a corpse to trick Nazi Germany into preparing for an assault on Greece while the Allies invaded Sicily. The team at Dartmouth created a modern version, WE-FORGE, that plants different instances of false information in documents. The process is relatively simple when creating a small number of variations in a handful of documents, but to extend it to large scientific or technical documents, AI is essential. WE-FORGE uses natural language processing to generate multiple fake files that are believable yet incorrect.

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