The Show Must Go On. How State and Local Governments are Powering Through Budget Shortfalls

Though the word may be overused, state and local governments are indeed facing unprecedented challenges. Forced to move operations online in response to their own stay-at-home orders, state and local agencies have spent the last year retooling how they serve citizens. They have been paying for necessary technology upgrades and other new equipment while revenues from taxes have dropped considerably. Even with these financial challenges, state CIOs are committed to continuing with their innovation and modernization efforts.

A study from the National Association of State CIOs (NASCIO) showed that priorities for state and local CIOs stayed consistent over the last year, with cybersecurity and enhancing digital citizen service being the top two. Of course, these two areas saw critical investments in 2020 just to keep the business of government running. In 2021, the solutions put in place will be revisited, evaluated for efficiency, and operationalized to support agencies moving forward.

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I See What You’re Saying. Natural Language Processing’s Role in our Digital World

Natural Language Processing (NLP) is a computer science practice that aims to give computers the ability to understand text and spoken words in the same way humans can. NLP is a key feature of Artificial Intelligence (AI) as understanding the language that we use to "teach" computers is critical to evolving the accuracy of the AI tasks we are asking of them.

The most familiar application of NLP is speech recognition--taking the spoken word and converting it to text. Speech recognition also is part of any application that follows voice commands.To work properly, the technology has to be knowledgeable of accents and frequently understand context (semantics) to differentiate words with a similar sound but have various meanings or spellings. NLP is also closely tied to several tasks that work in the background of applications we use everyday, including spam detection, foreign language translation, virtual assistants, chatbots, social media sentiment analysis, and text summaries/abstracts for long documents.

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AI Goes Local

State and local agencies are home to some of the most innovative ideas in government. Their use of artificial intelligence (AI) is no exception. Localities are embracing AI as a way to make sense of all the data they hold to better understand how citizens are using their services and where gaps may exist. A survey from the National Association of State Chief Information Officers (NASCIO) released in the fall of 2019 found that 32% of those surveyed "strongly agreed" that AI and related technologies can help them meet citizen demands and improve operations. Specifically, the survey found that nearly 50% of respondents planned to use AI as a way to shift workers away from rote tasks and toward high-value activities.

Taking a look around the country, we see some interesting applications of AI at the state and local level.

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The Future of AI in Government

Artificial Intelligence (AI) is no longer just a plot line for science fiction movies. The reality of AI is not walking robots threatening to take over human tasks, but instead it is being implemented in our daily lives to complement the way people work and learn. For example, known by their first names Alexa and Siri, these AI figures will soon overtake Cher and Madonna as the most famous one-named women in the world (if they haven't already). AI is also what enables the instant customer service "representative" to pop up on a website to help answer basic questions. With its commonplace use in the commercial market, AI and machine learning are making their way into agencies across government.[Tweet "AI and machine learning are making their way into agencies across government. #GovEventsBlog"]

AI is becoming a key tool to help streamline response to citizen questions as citizen (customer) service has become a top priority across all government agencies. The IRS is beginning to use chatbots to help manage the 75 million phone calls, and 500 billion website visits from taxpayers each year (a number that will likely grow with tax changes). There's also interest in how AI can improve cybersecurity posture by automating more and more cyber monitoring so that systems are responding to threats at machine speed. AI also holds the answer to many big data challenges. The speed of automated machine processing can help agencies get more value out of the massive amounts of data they own for improved service, programs, and mission achievement. Continue reading

Agencies Are A Step Closer to Creating Their Own Siri

From time to time GovEvents will come across information we feel our members and audience would benefit from. Here's something we wanted to share:

Federal agencies are a step closer to automating some of their common customer service processes using artificial intelligence.

The General Services Administration recently wrapped a pilot that walked federal agencies through the process of building chatbots and other intelligent personal assistants similar to Apple's Siri and Amazon's Alexa.

Graduates of that pilot have developed some basic prototypes--a single chatbot that lets users access Small Business Administration licenses, Internal Revenue Service tax credits, Forest Service park permits, and Health and Human Services Department benefits, for one. But prototypes weren't the point of the pilot, GSA's Emerging Citizen Technology Office lead Justin Herman told Nextgov--instead, it was to help agencies understand what they'd need before they can fully deploy intelligent personal assistants.

One finding, Herman said, was that agencies need to assess their cloud services, as chatbots and voice-controlled virtual assistants would need to pull information from the internet. Agencies also need to think about the way they structure the data the assistants might pull from, especially if that includes personally identifiable information from citizens, he said.

It's not yet clear where in each federal agency responsibility for creating intelligent personal assistants falls, Herman told Nextgov. Agencies such as National Oceanic and Atmospheric Administration and the Labor Department completed the workshop and brought varying personnel, including public affairs officers, Python developers and innovation teams.

"No agency came at this pilot the same way," Herman said.

Herman's team, which has worked to help agencies adopt social media to better connect with citizens, has noticed new technology is generally initially relegated to a technology shop.

"Eventually, access to these services spreads down to the just the program level," Herman said, who explained he anticipates a similar pattern with intelligent personal assistants.

In the hackathon culminating the workshop, out of which agencies' prototypes emerged, federal employees worked alongside representatives from Google, Amazon, Microsoft and Oracle. In the future, depending on the platform, agencies might be able to develop their own assistants in house with little coding knowledge. A Labor Department team put together three Amazon Alexa skills with no prior experience, for instance. Others might need to contract out to technology companies directly.

GSA is planning a showcase to demonstrate how intelligent personal assistants could be used in government. In the meantime, Herman's team is collecting feedback from agencies about how the pilot helped them and what they need to be able to develop their own virtual assistants.

Though it's summer and the White House has recently undergone a transition, Herman said he was surprised at how representatives from some agencies are already cooking up new project ideas. Some are thinking beyond "how can we apply this to [getting] open data into services," he said, and instead considering combining chatbots with web forms and call centers using artificial intelligence.

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