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In 1956, The term ‘AI’ was first adopted by American Computer scientist John McCarthy at the Dartmouth
Conference. The term ‘AI’ is an acronym of Artificial Intelligence that refers to the ability of a digital computer or
computer-controlled robot to perform tasks commonly associated with intelligent beings.
According to NITI Aayog, the capability of machines to perform cognitive tasks like thinking, perceiving, learning,
problem solving and decision making is called artificial intelligence.

Fields of AI
Artificial intelligence is a combination of different disciplines like Computer Science, Biology, Psychology,
Philosophy, Mathematics and Engineering for creating intelligent systems that behave like a human in terms of
thinking, learning and differentiating between right and wrong.

Computer
Science

Physiology Mathematics

Artificial
Intelligence

Psychology Science

Philosophy

OBJECTIVES OF ARTIFICIAL INTELLIGENCE

The artificial intelligence technology has potential to help humans lives more meaningful lives devoid of hard
labour, and help manage the complex web of interconnected individuals, companies, states and nations to
function in a manner that’s beneficial to all of humanity. Nowadays, artificial intelligence is being used mostly
by companies to improve their process efficiencies, automate resource-heavy tasks, and to make business
predictions based on complex data.
The two main objectives of artificial intelligence are as follows:

Creating Expert Systems

u Intelligent Behaviour: The goal is to develop AI systems that exhibit intelligent behaviour. These systems
can analyse data, make decisions, and perform tasks that typically require human intelligence.
u Learning Capabilities: Expert systems should have the ability to learn from the data they receive, improving
their performance and decision-making over time.
Implementing Intelligence in Machines

u Human-like Understanding: This objective aims to create AI systems that can understand the world, context,
and various forms of data in a manner similar to human comprehension.

u Thought Processes: The goal is to simulate or replicate human-like thinking processes, enabling machines
to reason, deduce, and make decisions based on available information.

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