Role of AI In the Government Industry


Introduction

In government, artificial intelligence (AI) has a variety of applications. It can be used to advance policy objectives (in areas like emergency services, health, and welfare), as well as make it easier for citizens to interact with the government (through the use of virtual assistants, for example).

The most common example of the government using AI is surveillance. The government uses Artificial Intelligence to check on public areas, traffic, and more. But there are several more use cases when it comes to the government. 

Here in this article, we will learn how AI can help the government, different use cases, and challenges that can be faced by using AI in the government-industry. 

How can AI help the government?

There are many benefits that AI can provide to the government sector. Some of the benefits AI can provide govt are:

1. Operational Efficiency: Leading companies and organizations have used AI-based process improvements to improve the efficiency of their internal operations and processes. 

For example, AI-enable processes can help the key decision-makers to help find inefficiencies and cost-saving opportunities in the services and products they buy.  AI can assist learning and development organizations in developing customized training and education programmes, HR departments in matching qualified candidates to open positions, and building maintenance departments in predicting problems and implementing proactive solutions.

2. Smart Policymaking: As the government has data in huge amounts, they can leverage it to build smart policies, because the policymakers have the required tools.  In nearly all government sectors, AI and data analytics can make sense of demographic, consumption, behavioral, and other trends, allowing policymakers to spot emerging issues and intervene with smarter policies and a better understanding of their impact and costs.

Following the implementation of policies, social media sensing can be used to monitor constituent sentiment and feedback. AI-powered tools have the potential to provide regional and local leaders with insights and analysis previously only available at the national level or national emergencies, allowing policies to be better tailored to local circumstances.

3. Smart service delivery: By analyzing the data the government has, they can help deliver, improve and even build new services. For Example, the government can use the data of job seekers such as work history, education, socioeconomic circumstances, and more to optimize the support the employment agency provides. 

Or, the government can build a traffic management model that can help you spend less time in traffic. Another example can be using AI-enabled patient demand analytics to reduce costs as well as wait time. However, the potential of AI-assisted government goes far beyond these examples. Governments can use AI and digital technologies to create a completely new citizen experience, with a single entry point connecting people to all relevant government services that are tailored to their specific needs. Suppose a person has lost their job. 

They would not need to apply for unemployment, food assistance, medical assistance, or other government services separately in an AI-powered future state. Instead, their former employer would notify the government of their unemployment, and they would be automatically enrolled in all relevant services to which they are eligible. 

When citizens contact their governments for help online, over the phone, or in-person in this AI-powered state, a complete profile of all services used, recent life experiences, personal preferences, and other relevant data will be available to help improve service quality and resolve their needs faster. This can help solve lots of issues like unemployment, improve the quality of the services and help the citizens live their life in a quality way.


What are the applications of AI in the Government sector?

There are various application/use cases of AI in the government sector, some of them are:

Identification of fraudulent claims: Government can lose millions and billions of dollars because of fraudulent crimes. To stop this, the government can use AI-powered fraud detection models that can identify things like handwriting, social media and more to stop crimes. 

Prediction of traffic: Traffic jams are often unpredictable and they are becoming more and more common in big cities. An AI traffic prediction model can help local authorities to find and control traffic jams. 

Identification of potential criminals: Using image detection and classification, state governments can detect and identify criminals. As facial recognition is improving, the government can use this technology to identify and catch potential criminals and thieves. 

Real-time translation using speech to text: Many modern countries are multicultural and multilingual, with residents and visitors conversing in a variety of languages. When citizens or visitors seek to communicate with various government departments and authorities, they may become frustrated when they discover that their fluency in the local language is not that great.

Machine learning and deep learning improvements in speech-to-text translation systems can help remove these communication barriers by providing real-time translation in public service settings.

Tracking disease spread: There are two use cases in this industry, which help detect and track the spread of disease. 

  • The first use case can be developing a machine learning algorithm that compares patients with similar symptoms from different locations, detects patterns, and alerts when an outbreak is likely going to happen.
  • The second can be using graph analytics to identify people who are suspect carriers of viruses. 

Surveillance: Using Deep Learning and Machine Learning, govt officials can use CCTV footage and traffic footage to identify any mishap or to keep an eye on the traffic. Monitoring social media for crimes: There are many cases where social media is responsible for real-life crimes. And monitoring social media can help the government identify potential crimes. 

What are the challenges of AI in the Government industry?

There are many challenges of AI in the government sector:

  • 90% of the tasks will inevitably be automated in the future. And that’s why it is scary to think that unemployment rates will be higher. If current tasks are going to be automated, the government needs to ensure that humans focus on higher value-added tasks or move to the private sector.
  • AI algorithms are man-made, and that’s why it is probable that they will have biases or prejudice toward certain colors, gender, race, etc. 
  • Although it is difficult to explain how all AI algorithms arrive at their predictions (i.e. inferences), technical solutions are being developed to address this shortcoming.
  • Another issue is accountability. If governments and corporations are not held accountable for accidents and incorrect predictions made by their AI algorithms, it will be hypocritical.

How can GTS help you?

GTS understands that your model needs AI Training Datasets, and we also understand that there is no one size fits all approach. That’s why we offer high quality and accurate training dataset for your AI model. The data that we provide includes diversity like people of different ages, ethnicities and cultures and we support more than 200 languages. 

Global Technology Solutions offers the experience to meet your needs in any data type, whether it's data annotation, data transcription, or even language consultancy. We have a client base that includes government agencies, various police forces, and municipal governments. These clients have put their trust in us to handle and provide top-notch security services for all of their data needs, including surveillance video datasets, speech recognition datasets, and recognition datasets. Every GTS facility is secure, and you can rest assured that your information is safe at all times.

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