Artificial Intelligence Vs Human Intelligence

Artificial Intelligence Vs Human Intelligence

Artificial intelligence (AI) is a term used to describe machine-proven "intelligence." AI programs, such as reasoning, problem solving and learning, can imitate or imitate cognitive behaviours or traits associated with human intelligence.

It is quick to complain nowadays about how artificial intelligence is becoming much better known than human intelligence. We’re talking about AI, which does almost half of our tasks on just one order, i.e. smart virtual assistant, self-driving cars, chatbots, and so on! AI is invading new territories, tasks and abilities everywhere you look. But is comparing it with AI fair to the human mind?

The question emerges from the emerging technical advancement: what is (or would be) left for humans to do? Where should humans fit in the equation if robots and machines will do our jobs in the future, the very same way we do them or even better? Well, comparing the human mind with artificial intelligence is incorrect. And both of these are entirely different things, even though sometimes their roles overlap. Although the analysis of data is fine for artificial intelligence, human intelligence is great for abstract thought.

Artificial Intelligence is a Computer Science branch that focuses on the development of smart machines capable of performing a wide variety of tasks that normally involve human intelligence and cognition. Human Intelligence refers to the intellectual capacity of human beings that enables us to think, learn from diverse experiences, interpret complex concepts, implement logic and reason, solve problems in mathematics, identify patterns, make inferences and decisions, recall information, and interact with fellow human beings.

The science of creating smarter and more intelligent human-like computers, Artificial Intelligence(AI), has triggered an unavoidable Artificial Intelligence vs Human Intelligence debate. In reality, algorithms for Machine Learning(ML) and Deep Learning(DL) are designed to make machines learn about themselves and make decisions just as we humans do. But are we overlooking the effect of AI takeovers on potential jobs in an effort to make smarter machines?

Thinking in the abstract, thinking critically, or moving information from one field to another is where AI falls short. Human beings are significantly inferior to AI when it comes to processing data. An AI algorithm can recognize one million images within the time it takes for a human to recognize and mark an image. However, based on intuition, common sense and scarce knowledge, humans can make abstract decisions. At a very young age, a human child learns to manage stuff. For an AI algorithm, the same task takes hundreds of years of training to execute. Humans, with all the innovations that have ushered in the age of artificial intelligence, will create new things. AI can only take information, compare it, construct new combinations and presentations, and forecast patterns on the basis of previous sequences.

Humans can sense, dream, imagine. Selfless or selfish, they may be. They're capable of loving and hate, to deceive, to forget, to misinterpret the truth. And in logical or irrational ways, all of those feelings will affect their decisions. AI is, at its heart, tiny electricity bursts that run through billions of lifeless circuits.

AI and human intelligence complement one another, compensating for the limitations of each other. They will carry out things together that neither of them could have done independently. AI's future will be governed primarily by human skills.

Humans will create the future, not robots.




Vaishnavi Wagh


Batch: 2020-2022
Vivekanand Business School