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Government CIO Outlook | Friday, October 25, 2019
AI has been seen as an emerging trend in the government sector. How is it going to leverage this sector with its benefits?
FREMONT, CA: Artificial Intelligence has already worked like a magic wand in other sectors. Now, the state government is also thinking of deploying AI. AI empowers the state CIOs in minimizing paperwork, automating tedious tasks, turning over simple jobs, evaluating large volumes of data to understand the society in a better way. However, with AI’s promise comes its fear as well. Despite all its benefits, the state government has expressed its concerns about the irreversible decline in human jobs, great susceptibility to cyber-attack, and an end to privacy.
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The Route Fifty 2018 Management survey revealed mixed opinions of employees regarding the deployment of AI in their organization. Some were happy with its impact, while other employees feared that their jobs would be replaced by technology. However, the majority of public sector workers hold the view that technology will enhance their work, not replace it.
Types of automation in AI that are helpful to the government
The types of automation in government context can be broken down into four segments: relieve, split up, replace, and augment. AI that relieves, utilizes automation to take over more routine tasks, freeing up employees to focus on more complicated tasks. This way, government agencies can minimize backlogs more quickly to serve citizens. Utilizing AI to split up work allows humans and computers to divide their tasks. For instance, chatbots can be used to answer simple questions, and human to handle complex queries. Harnessing AI to replace empowers computers to do a complete task which humans did earlier, like reading zip codes. AI is also used to augment a state CIO's work that uses technology to make humans more productive at their jobs. For example, using AI to evaluate large volumes of data can help the government to have a clearer view of a problem.
Other applications of AI
The state transportation agencies are using AI to manage traffic signals. For example, Maryland’s upgraded traffic signals will respond to traffic flow and conditions in real-time, thus minimizing travel times by 10-15 percent. Vermont is utilizing AI for various projects, including the modeling for pavement for predicting the lifetime of road treatment, predicting bridge deterioration, and many more.
AI and machine learning are also assisting states with cybersecurity needs. As per the 2016 Deloitte-NASCIO Cybersecurity study, State Chief Information Security Officers (CISOs) identified cybersecurity talent unavailability as a top barrier. Therefore, the government turned to AI and ML for applying advanced cyber analytics. AI security software can identify threat patterns, which enables the professions to deal with most required human-led tasks.
Being part of a goals-based, citizen-centric program means AI should be used where resolving an issue goes beyond human tendency. The state should think of a citizen’s complete customer journey and the various ways they will communicate with the government. Keeping citizens in mind, the state CIOs are advised to ensure that the technology is inclusive of educational, income, generational, and language differences.
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