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The Business Case for AI in Government



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Artificial intelligence is a versatile tool that has many potential uses in government. Artificial intelligence can be used to aid citizens and help agencies accomplish their public policy goals. Here are some of the most important uses of AI for government. They may not be immediately obvious, but they can have a profound impact on government processes. Learn more on artificial intelligence and government. This article will help you to develop a business case for AI in government. Let's get started!

A business case for AI in government

The process of developing a business case to support AI in government involves more than just identifying new applications. It requires that government leaders take into account the human side of AI. An AI project partner could be a human, since governments have to overhaul their technological infrastructure. They also need to have high-quality data in order to create AI solutions. AI consultants or custom development firms may be able to provide the needed talent.

AI has many benefits for government. With better decision-making and better service offerings, government can reduce costs and improve the quality of services for citizens. However, data collection and analysis in government aren't sufficient to make actionable insights from this data. However, AI can be used to improve service and save money. 61% already think that AI is functional within government, and 79% believe that AI will increase bureaucratic efficiency.


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Identify repetitive tasks that can be automated

Automating repetitive manual tasks can be an excellent way to reduce costs and free up employees for higher-value tasks. A number of pivotal government functions are excellent candidates for automation. Claims processing, data migration and data cleansing are just a few examples. Here are some ways to automate these tasks:


Automating repetitive tasks in government takes a holistic approach. It cannot be treated as a one-time project. So that they can make the right decision, the government must inform line-ofbusiness leaders about automation's benefits and drawbacks. While no job will be entirely automated, it can help to identify areas that can benefit from automation. An example: A government worker involved in the inspection and maintenance of aircraft could benefit from an automated system.

AI and citizen experience: Impacts of AI

The public perception of AI applications within government depends on its nature, context, transparency and accountability requirements. The study has shown that AI has mixed impacts on citizens. This is more likely to lead to distrust than positive ones. Different sectors will experience different effects on how AI impacts the citizen experience. Government AI applications are expected to alter the way citizens interact directly with government. While there are many barriers to AI adoption in government agencies, this research shows the most important obstacles and opportunities.

One way AI might impact citizen experiences is in tax collection. The Office of State Revenue of Queensland in Australia uses AI, data analysis, and machine-learning to detect and prevent tax fraud and irregularities. The timely collection of tax revenue in Queensland, Australia's second-largest state, is critical to funding essential programs and services. Artificial intelligence can improve public experience and make it easier to access government services.


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Development of a business argument for AI-enabled process in government

It is important to define your goals and create a scorecard in order to build a business case. Next, you can use AI-enabled software to meet these goals. You can then compile all metrics into a scorecard, and identify who is responsible to achieve them. It is important to coordinate across departments and centralize AI expertise. To develop a solid business case for AI in government, set up a point person in each department with clear lines of authority.

It isn't easy to make a business argument for AI-enabled processes within government. Although AI is fast becoming the preferred way of accomplishing many government functions there are many obstacles to AI deployment. High-regulated industries like healthcare may be subject to additional obstacles. Leveraging these issues can help governments achieve their AI-enabled goal. You can also benefit from the expertise of other industries, which will help you overcome many common issues.




FAQ

Who was the first to create AI?

Alan Turing

Turing was born 1912. His father was a clergyman, and his mother was a nurse. At school, he excelled at mathematics but became depressed after being rejected by Cambridge University. He discovered chess and won several tournaments. After World War II, he worked in Britain's top-secret code-breaking center Bletchley Park where he cracked German codes.

He died on April 5, 1954.

John McCarthy

McCarthy was born in 1928. Before joining MIT, he studied maths at Princeton University. There he developed the LISP programming language. He was credited with creating the foundations for modern AI in 1957.

He died in 2011.


How does AI work?

An algorithm is a set or instructions that tells the computer how to solve a particular problem. An algorithm is a set of steps. Each step has a condition that determines when it should execute. A computer executes each instructions sequentially until all conditions can be met. This continues until the final results are achieved.

For example, suppose you want the square root for 5. One way to do this is to write down all numbers between 1 and 10 and calculate the square root of each number, then average them. It's not practical. Instead, write the following formula.

sqrt(x) x^0.5

This says to square the input, divide it by 2, then multiply by 0.5.

A computer follows this same principle. It takes your input, multiplies it with 0.5, divides it again, subtracts 1 then outputs the result.


Where did AI come from?

Artificial intelligence began in 1950 when Alan Turing suggested a test for intelligent machines. He said that if a machine could fool a person into thinking they were talking to another human, it would be considered intelligent.

John McCarthy later took up the idea and wrote an essay titled "Can Machines Think?" John McCarthy published an essay entitled "Can Machines Think?" in 1956. He described in it the problems that AI researchers face and proposed possible solutions.


Are there potential dangers associated with AI technology?

Of course. They will always be. AI could pose a serious threat to society in general, according experts. Others argue that AI can be beneficial, but it is also necessary to improve quality of life.

AI's misuse potential is the greatest concern. If AI becomes too powerful, it could lead to dangerous outcomes. This includes robot dictators and autonomous weapons.

AI could take over jobs. Many people are concerned that robots will replace human workers. Others believe that artificial intelligence may allow workers to concentrate on other aspects of the job.

For instance, some economists predict that automation could increase productivity and reduce unemployment.


AI is good or bad?

AI is both positive and negative. On the positive side, it allows us to do things faster than ever before. Programming programs that can perform word processing and spreadsheets is now much easier than ever. Instead, we just ask our computers to carry out these functions.

People fear that AI may replace humans. Many believe that robots will eventually become smarter than their creators. This means they could take over jobs.


What is the current state of the AI sector?

The AI market is growing at an unparalleled rate. There will be 50 billion internet-connected devices by 2020, it is estimated. This will allow us all to access AI technology on our laptops, tablets, phones, and smartphones.

This will also mean that businesses will need to adapt to this shift in order to stay competitive. They risk losing customers to businesses that adapt.

The question for you is, what kind of business model would you use to take advantage of these opportunities? You could create a platform that allows users to upload their data and then connect it with others. Perhaps you could also offer services such a voice recognition or image recognition.

Whatever you choose to do, be sure to think about how you can position yourself against your competition. You won't always win, but if you play your cards right and keep innovating, you may win big time!


Which countries are currently leading the AI market, and why?

China has the largest global Artificial Intelligence Market with more that $2 billion in revenue. China's AI industry includes Baidu and Tencent Holdings Ltd. Tencent Holdings Ltd., Baidu Group Holding Ltd., Baidu Technology Inc., Huawei Technologies Co. Ltd. & Huawei Technologies Inc.

China's government is heavily investing in the development of AI. The Chinese government has created several research centers devoted to improving AI capabilities. The National Laboratory of Pattern Recognition is one of these centers. Another center is the State Key Lab of Virtual Reality Technology and Systems and the State Key Laboratory of Software Development Environment.

China also hosts some of the most important companies worldwide, including Tencent, Baidu and Tencent. All these companies are actively working on developing their own AI solutions.

India is another country that is making significant progress in the development of AI and related technologies. India's government is currently focusing its efforts on developing a robust AI ecosystem.



Statistics

  • The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
  • That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
  • More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)



External Links

mckinsey.com


medium.com


forbes.com


hadoop.apache.org




How To

How do I start using AI?

You can use artificial intelligence by creating algorithms that learn from past mistakes. The algorithm can then be improved upon by applying this learning.

To illustrate, the system could suggest words to complete sentences when you send a message. It would take information from your previous messages and suggest similar phrases to you.

You'd have to train the system first, though, to make sure it knows what you mean when you ask it to write something.

Chatbots are also available to answer questions. If you ask the bot, "What hour does my flight depart?" The bot will respond, "The next one departs at 8 AM."

Take a look at this guide to learn how to start machine learning.




 



The Business Case for AI in Government