Relevance of AI in today’s world

Category: Technology

Artificial Intelligence (AI) refers to the incitation of human intelligence in machines that are programmed to think, mimic and execute human actions. The characteristic feature of AI is the ability to rationalise and take appropriate actions for achievement of specific goals. Machine learning is a sub part of Artificial Intelligence that present the idea that computer programs can adapt and learn new data without being assisted by humans. Critics argue that extensive use of AI can have a negative impact on society. AI is being used today across different industries ranging from healthcare to daily well-being. Learning, reasoning, perception are the strides of mimicking activities that have made rapid strides. With the further advancement of technology previous studies defining artificial intelligence becomes outdated. AI is constantly evolving with the changing growing needs of the society. The applications of AI are endless, it can be applied to various sectors as well as industries for social welfare as profit maximisation. The main goal of AI is reducing human efforts and transferring it to machines that are programmed to act and execute human action. There are two types of Artificial Intelligence: weak and strong. Weak artificial intelligence refers to a system or unit designed to carry out a particular job. It includes games, Alexa, Siri, the various types of assistant. Strong Artificial Intelligence systems are the machines that carry out functions like human. They tend to be complex and are criticised to be harming the order of the nature. AI allows businesses and organisations to make better decisions to improve core processes by increasing speed and accuracy of decision making processes. AI can automate any repetitive task without the need for breaks and brain fog. It enhances products and services effective for end users and it can analyze data at a faster rate than humans. AI also maximises value of data with fewer mistakes and become more accurate than humans .AI experts have common responsibilities of practices for applications like processing of data, robotic control and accomplishment of complex tasks into simplified processes..