{"id":167,"date":"2020-12-30T14:59:00","date_gmt":"2020-12-30T09:29:00","guid":{"rendered":"https:\/\/data-flair.training\/news\/?p=167"},"modified":"2020-12-30T15:37:21","modified_gmt":"2020-12-30T10:07:21","slug":"artificial-intelligence-in-governance","status":"publish","type":"post","link":"https:\/\/data-flair.training\/news\/artificial-intelligence-in-governance\/","title":{"rendered":"Interesting Use Cases of Artificial Intelligence In Governance"},"content":{"rendered":"

Artificial intelligence (AI) has found extensive applications across various fields. Among such fields, one domain where there is a lot of potential for AI is governance. <\/span><\/p>\n

Public sector entities can function several times better if they rely on AI-based solutions to execute certain kinds of tasks. <\/span><\/p>\n

However, when compared to the private sector, the use of AI in the public sector is limited.\u00a0<\/span><\/p>\n

Governments around the world have started investing in AI to achieve various goals. <\/span><\/p>\n

Yet, applications of AI in this field are still in their nascent stage.<\/span><\/p>\n

Even in this stage, the usage of AI has transformed governmental operations in some countries.\u00a0<\/span><\/p>\n

Need for AI in Governance<\/h3>\n

The need for AI-based solutions in governance can be classified into some key categories which are described below.<\/span><\/b><\/p>\n

1. To automate repetitive tasks<\/h4>\n

Several sectors of the government have everyday mundane tasks that take up a significant portion of the employees\u2019 time. <\/span><\/p>\n

If such tasks could be automated using smart AI algorithms, employees will have extra time to focus on more important tasks.<\/span><\/p>\n

2. Where the data is too large to handle<\/h4>\n

Some governmental departments are such that humongous data is generated frequently. <\/span><\/p>\n

In such cases, it is not humanly possible to handle such a large amount of data. <\/span><\/p>\n

Implementing AI to process such data can drastically cut down resources and manpower which would otherwise be required.\u00a0<\/span><\/p>\n

3. To make predictions<\/h4>\n

In some sectors such as crime and disaster management, appropriate data collection techniques followed by the implementation of AI algorithms can help predict the occurrence of untoward incidents ahead of time. <\/span><\/p>\n

Thus, the government can take measures to prevent such incidents by coming up with effective risk mitigation plans.<\/span><\/b><\/p>\n

4. To converse with the citizens<\/h4>\n

Governments are already exploring options where AI-based bots can converse with citizens and help in grievance redressal. <\/span><\/p>\n

Of course, the applications are far from the resemblance to actual human conversations. But the bots can help in sectors where there is a shortage of employees.\u00a0<\/span><\/p>\n

Artificial Intelligence in Governance Use Cases<\/h3>\n

Public sector entities around the world have already begun implementing AI-based solutions to simplify tasks, enhance productivity, and have a better shot at good governance. <\/span><\/p>\n

Given below are some working examples of how artificial intelligence has helped government operations.\u00a0<\/span><\/b><\/p>\n

1. Fixing China\u2019s air pollution<\/h4>\n

China is known for having notoriously low levels of air quality. This posed a risk when it hosted the Beijing Olympics in 2008. <\/span><\/p>\n

To ensure the safety of the athletes and the visitors in the Olympic village, the Chinese government enforced strict traffic restrictions and ordered the factories to shut down.\u00a0<\/span><\/p>\n

While the measures did help in creating a safer environment, they were too radical. <\/span><\/p>\n

As a result, the economy got affected. <\/span><\/p>\n

Later in 2014, the Chinese government partnered with the tech-giant IBM to build an AI-based solution for the country\u2019s pollution problem.\u00a0<\/span><\/p>\n

Sensors in different regions collect data regarding CO2 and other emissions. <\/span><\/p>\n

This data is used to identify patterns and forecast the expected pollution levels for the next 72 hours. <\/span><\/p>\n

Thus, government authorities can warn citizens in advance. <\/span><\/p>\n

Also, they can decide which regions have to shut down their factories and other major contributors rather than enforce a blanket restriction across a whole province. <\/span><\/p>\n

2. Minimizing tax fraud<\/h4>\n

Irrespective of policy enforcement, governments around the world have to deal with tax defaulters and tax evasion. <\/span><\/p>\n

Intentionally or otherwise, a small percentage of citizens tend to miss the due date.\u00a0<\/span><\/p>\n

The Office of State Revenue in Queensland, Australia turned to AI to minimize the occurrence of irregular tax payments. <\/span><\/p>\n

Through data-driven insights, the department can now predict the taxpayers who are at risk of default. <\/span><\/p>\n

The model works with 71% accuracy. With the predicted data, the department can offer assistance programs for potential defaulters.\u00a0<\/span><\/p>\n

Overall, the implementation of AI, data analytics, and machine learning could help the revenue department in decreasing the state debt which will, in turn, contribute to a more stable income.\u00a0<\/span><\/b><\/p>\n

3. Better response to natural disasters<\/h4>\n

When AI algorithms are applied to vast amounts of historic data, the resulting model can predict the extent of damage that one can expect from a particular region should a disaster strike.\u00a0<\/span><\/p>\n

Japan, which is known to have survived multiple disasters with large-scale destruction, is today home to several startups that use past data to forecast the impact of a disaster on various prefectures in the country.\u00a0<\/span><\/p>\n

Disaster-prone countries from around the world can take a leaf out of Japan\u2019s book and implement AI-based models to predict disaster impact. <\/span><\/p>\n

These predictions can immensely help in designing\/redesigning cities, planning disaster mitigation schemes, and enhance the overall disaster preparedness of the country\u2019s population.\u00a0<\/span><\/p>\n

4. \u2018<\/span>Coptivity\u2019 – The Sheriff’s new best friend<\/h4>\n

Governments have begun leveraging modern technology for better law enforcement. <\/span><\/p>\n

Police generally have to make calls to the dispatcher to check on a license plate or a potential offender. This process takes away much of the sheriff\u2019s time.\u00a0<\/span><\/p>\n

To make things faster, the San Diego County Sheriff in the USA have implemented Coptivity – an AI-enabled voice assistant. <\/span><\/p>\n

It is a tool that gives out valuable background information that a cop needs within minutes. No more calls and waiting times.\u00a0<\/span><\/p>\n

When the cop types a license plate number or uploads a photo, the application runs it through the database looking for matches. <\/span><\/p>\n

If a match is found, it returns all the related data. This helps the cops to be better equipped even before they step out of their cruisers.\u00a0<\/span><\/p>\n

Scope for AI-based solutions in Governance<\/h3>\n

In a large developing country such as India, government agencies can use AI to track data on public infrastructure. <\/span><\/p>\n

This would help in timely maintenance. There have been several instances of lapses in infrastructure leading to deaths and grave injuries that could have been avoided.\u00a0<\/span><\/p>\n

For instance, consider the railways. Indian railways consist of thousands of routes that see thousands of trains ferrying passengers from point to point. <\/span><\/p>\n

Thus, it is impossible to manage the data regarding the maintenance and expiry of coaches, tracks, and other components. <\/span><\/p>\n

At the same time, not paying attention to these can lead to derailments and other serious accidents.<\/span><\/p>\n

If the government is equipped with AI-based solutions to keep a record of the last date of maintenance for rail components, accidents can be avoided.\u00a0<\/span><\/p>\n

Challenges in implementing AI in Governance<\/h3>\n

Although AI comes with several promising possibilities, there are some roadblocks for governments that want to incorporate AI in their operations.\u00a0<\/span><\/p>\n

    \n
  • For instance, in developing countries or those with weak economies, it may not be financially viable to allocate a budget for R&D in AI. <\/span><\/li>\n
  • Next, in countries that are perhaps interested in building AI-based solutions, there are privacy concerns. If the solution involves the government collecting the citizens\u2019 data, people may see it as a threat to their privacy.\u00a0<\/span><\/li>\n<\/ul>\n

    Summary<\/h3>\n

    Overall, we can say that there is a lot of ongoing research and future scope for AI-based applications in governance. <\/span><\/p>\n

    With time, more governments would invest in research and development of artificially intelligent applications for the betterment of their citizens.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    Artificial intelligence (AI) has found extensive applications across various fields. Among such fields, one domain where there is a lot of potential for AI is governance. Public sector entities can function several times better...<\/p>\n","protected":false},"author":6722,"featured_media":168,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[161,160,159],"class_list":["post-167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai-impact-on-governance","tag-ai-in-governance","tag-artificial-intelligence-in-governance"],"yoast_head":"\nInteresting Use Cases of Artificial Intelligence In Governance - DataFlair<\/title>\n<meta name=\"description\" content=\"Learn the need of Artificial Intelligence in Governance, various real time use cases of AI in Governance and challenges in implementing them.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/news\/artificial-intelligence-in-governance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Interesting Use Cases of Artificial Intelligence In Governance - 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