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AI and its sub-domain technologies can lessen the many existing structural inefficiencies to provide satisfied government functionalities.
FREMONT, CA: Artificial Intelligence (AI) is the intelligence demonstrated by machines in which computer systems perform tasks like speech recognition, decision-making, language translation, etc. AI can automate repetitive tasks, make connections, see relationships, and make forecasts with reasonable accuracy levels. The focus of governments' artificial intelligence strategy is on economic growth and social inclusion. They are leveraging the full potential of AI to meet the country's unique needs and aspirations. AI and E-governance can be a revolution in combining and embedding technologies.
• Law Enforcement
Enforcing and regulating law is a vital function in any governance architecture. Integrating AI systems can improve and automate the existing functionalities for the better implication of law and order. Law enforcement and cyber defense are emerging, and offering delves knowledge about law violations in the modern world. These systems are assisting in enclosing and solving issues in less time.
Most government systems in developing and underdeveloped countries do paperwork as a key part of their governance. Assigning, performing, and passing files between departments can be time-consuming, and it could be nerve-wracking if it is vital for making crucial decisions. Hence, automating routine tasks mitigates paperwork, enhances query-response time, and saves government officials' quality time to focus on other development problems.
• Renovating Privacy and Security Mechanism
The government holds data about the public, government officials, businesses, and many more. This information requires to be secured and guarded against fraud committers to avoid malfunctions of private data. Integrating AI systems can help automate and secure data by embedding machine learning algorithms that identify disruptions in the digital database and protect the information from cybercriminals.
• Rapid Disaster Response
Governments responding and enacting during emergencies could be delayed due to their internal structural hierarchical procedures. With predictive analytics and AI automated systems, the government can predict the weather and other parameters to take prior action. Maintaining and governing public infrastructure through digital platforms assist in effective and time-efficient operations.
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