2. MEANING
It is the field of study that explains the capacity of machines learning same as
humans.
Demand growing fast.
Reenactment of human knowledge measures by machines.
3. HISTORY
First initiated in 1956.
On first academic conference on the matter.
Became focus point of researchers.
Presented by the great mathematician Alan Turing that machines can think and
learn without any help.
Testing by Turing results that machines can think and learn same as humans.
4. ADVANTAGES
Decrease in human errors.
Faces challenges rather than humans.
Accessible 24*7
Quicker choices
5. DISADVANTAGES
High cost of manufacturing and maintenance.
Making people lazy.
Increases unemployment.
Zero feelings.
9. CONCLUSION
It involves worldwide concern.
Essential for governments, organizations, third area associations, and political networks to
choose what sort of society we need to convey to people in the future
Which esteems should direct the advancement of artificial intelligence frameworks, and
which are the cutoff points and limitations we ought to force on them.
We are in the AI revelation era and therefore, we must adopt into this change and
welcome it too by embracing AI and moving toward a better future.