AI- Introduction

Debates surrounding AI usually centers on its similarities and differences with HI. The debates concern trustworthiness, explainability and ethics suggest that AI seek to achieve human-like characteristics to realize its full potential. Because HI is multi-faceted, despite its limitations, Artificial intelligence cannot outdo HI wholly but in some narrow domains, AI will be more efficient. I have summarized the fundamental differences below:

• Human intelligence adapts to modern environments by using a mixture of distinct cognitive procedures; on the other hand artificial intelligence mocks human behaviour and conduct human-like actions.

• The simple difference is that human beings use their brain and cognitive processes that are influenced by reason, emotion, intuition, memory and imagination, while AI machines depend on the data given to them.

• Human intelligence learns from past mistakes and this learning is tempered by attitudes, beliefs and values. Artificial intelligence learns not from its past but through the data and the feedback that it receives. Uniquely human thinking and learning development process cannot be matched by machines.

• Artificial intelligence takes much more time to adjust to the new changes whereas human beings can adapt to changes easily and this makes people able to learn and ace several abilities.

• However, machines excel at handling enormous amount of data at a speedier rate as compared to humans. Humans cannot beat the speed of computers.

• Artificial Intelligence has yet to master related social and cultural codes. Humans are uniquely endowed with self-awareness, and are attuned to others' emotions, beliefs and values and can flexibly respond to them.

As an educator, I am familiar with Howard Gardner's theory of multiple intelligences. I have prepared a short infographic based on Gardner's book "Frames of mind: The theory of multiple intelligence (1983). Following this, we can see that AI is yet incapable of developing the full range of human intelligences although AI can perform much better in narrow range of intelligence. For example, IBM's Watson the quiz show, Jeopardy, in 2021.