Governance need not always be a time consuming, tedious, and inefficient process, at least not with the use of AI.

However, a government agency’s readiness for AI is not only about buying or and installing new technology. The dynamic nature of AI calls for preparation across multiple critical areas. To capture AI’s potential for improving governance, there has to be a solid plan to re-establish relevant existing processes, upskill, hire key staff, train personnel and refine approaches towards public-private partnerships and develop the necessary data and technical infrastructure to deploy AI.

With a growing population and a rapid economic engine, every government has a lot of data to be processed. For any new scheme to be applicable, a lot of time goes into processing data. AI can help shift through data and identify patterns that could improve decision making which is ultimately done by a person.

And Moreover, it is not just about policymaking but also for improving citizen services. For immigration services and other government portals, conversational AI can be utilized. For instance, when one has to file tax returns, the government website can provide virtual assistance. this way every layman would find it easy.

Security within a country can be enhanced with features such as facial recognition. This proves useful in airport terminals where mobility can be made faster and crowds could be managed better. In vast cities that function 24 hours, it becomes difficult to administer. Real-time data sensors can alert authorities of abnormal activity to aid in keeping a check on crime and any abnormal activity. This has been used and proved beneficial in Las Vegas. Real-time sensors can amplify public transportation convenience and safety with penetrative maintenance and risk assessment. With urban mobility being a crisis in recent times, such technology to ensure safety and traffic management is most needed.

Deloitte has estimated that automation could save US government employees between 96.7 million to 1.2 billion hours a year, resulting in potential savings of between $3.3 billion to $41.1 billion a year. (source: Deloitte insights).