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.
With the government fiscal year starting in October, our Federal government gets a head start on their New Year's resolutions. As we launch into a new year--a new decade, even--we wanted to take a quick look at government technology priorities for 2020 and beyond.
Cybersecurity - In the past decade security has transitioned from a stand-alone technology that had to be added to planning and systems, to a utility-type service that is baked into every piece of technology deployed within government. This fall, Federal CIO, Suzette Kent shared her focus areas for the next year (and beyond) to include cross-agency information sharing, improved identity management, and increased workforce cybersecurity literacy.
Reskilling - The introduction of automation into administrative functions is driving a need for employees to be re-skilled. While machines are not taking over the jobs of humans, they are improving efficiency in many roles, freeing up time for people to take on more complex (and frankly, more interesting and more important) roles within an organization. Continue reading
Artificial Intelligence (AI) continues to dominate tech headlines. Now, rather than learning what the technology could mean for government, we're reading about where it's being implemented, and the results being achieved. A recent report found that AI is no longer considered optional, but rather a critical component to managing and using large amounts of data. IT leaders in government are looking to AI to automate routine, data-oriented tasks, ease access to diverse sets of data, prioritize tasks based on the benefit to the organization, and generally keep track of ever-growing streams of data.
The Intelligence Community (IC) has long been a top consumer and analyzer of data in government. Not surprisingly, they have embraced AI technology to supplement the work of analysts by reducing the amount of manual data sorting with machine-assisted, high-level cognitive analysis. AI is being used to help triage so the highly-trained analysts can spend their time making sense of the data collected by looking at the most valuable and seemingly connected pieces.
Health and Human Services (HHS) implemented an AI solution when they needed to quickly procure Hazmat suits to meet the response to an Ebola outbreak. Procurement officials were able to use AI to make like-to-like comparisons among products. After the initial tactical analysis, the acquisition teams were able to use the data gathered on department wide pricing and the terms and conditions to better define parameters for ten categories of purchases.
Despite the successful implementations in many agencies, AI is still in the pilot and introductory phase. The Air Force is making it easier to begin experimenting with AI. Because the DoD has strict rules about what can be put on their networks, it is difficult to introduce new technologies into the production environment. The Air Force has created a workaround with the Air Force Cognitive Engine (ACE) software platform, a software ecosystem that can connect core infrastructures that are required for successful AI development (people, algorithms, data, and computational resources).
HHS is looking to use AI to analyze dated regulations as part of their AI for deregulation project. The pilot has found that 85 percent of HHS regulations from before 1990 have not been edited and are most likely obsolete. Using AI to flag regulations with the term "telegram," for example, will begin the prioritization of data that needs to be looked at by humans.
Artificial Intelligence (AI) is a hot buzzword being thrown around in technical as well as business circles as a way to increase the efficiency of organizations. More than just a buzzword or "next big thing," it is now official policy of the United States. This February the President issued an executive order directing federal agencies to invest more money and resources into the development of artificial intelligence technologies to ensure the U.S. keeps pace with the world in using AI (and related technology) for business, innovation, and defense.
On the heels of the executive order, the DoD outlined its AI plans which include using AI technology to improve situational awareness and decision-making, increasing the safety of operating vehicles in rapidly changing situations, implementing predictive maintenance, and streamlining business processes.
But with all of this focus and excitement around AI, there are many groups raising concerns. Paramount is the federal workforce who sees AI technology potentially taking over their work. A recent survey found that while 50 percent of workers were optimistic that AI would have a positive impact, 29 percent said they could see new technologies being implemented "without regard for how they will benefit employees' current responsibilities." Across government, technology leaders are working to ease fears, stating that technology will take on the rote, manual tasks that humans tend to dread, freeing up people to spend additional time on more strategic, meaningful work.
Another group wary of AI's broad impact are security experts who say that with new, more advanced technologies come new, more advanced threats. In an effort to get in front of these threats, DARPA has launched the Guaranteeing AI Robustness against Deception (GARD) program. This program aims to develop theories, algorithms, and testbeds to aid in the creation of ML models that will defend against a wide range of attacks. Continue reading
The GEOINT Symposium is the nation's largest gathering of geospatial intelligence stakeholders from across industry, academia, and government. Hosted by the United States Geospatial Intelligence Foundation (USGIF), the event has become the gathering place for 4,000+ members of the worldwide geospatial community.
Geospatial Intelligence (GEOINT) was recognized as a discipline in the mid 1990s when the imagery and mapping disciplines were combined into a single DoD agency that was later re-named the National Geospatial-Intelligence Agency (NGA). The combination proved that together, these two technologies provided an incredible opportunity for new intelligence and analysis. The term "GEOINT" was coined by the honorable James Clapper and a community of mapping and imagery intelligence analysts began to grow.
The first GEOINT Symposium was held in a hotel meeting room with the expectation of 100 attendees, but even that first event drew many more to the standing room-only sessions. Since then, the Symposium has grown year after year to become the flagship event for networking and professional development among the defense and intelligence communities and others who use geospatial technology including first responders, law enforcement, and beyond. Continue reading