AI: education and the future of work

This post was written by a student. It has not been fact checked or edited.

Artificial Intelligence (AI) means making machines smart like humans. It aims to enhance computer learning, reasoning, and perception.

AI is based on the principle that human intelligence can be defined in a way that a machine can mimic and perform tasks from the most simple to complex.

AI is used in many fields like finance, health care, manufacturing, education, and sports.

In education AI helps teachers with research, writing, keeping and tracking students’ records and performance and also makes remote learning more efficient are some important roles that AI plays in our education.

In health care, AI helps doctors to diagnose patients better, maintain patients’ medical records, and carry out more accurate surgical procedures.

AI is also useful in the manufacturing industry as it helps run assembly lines smoothly without human intervention. Self-driving cars are also now possible in our world today, all because of AI.

One may argue that machines are better at dealing with some things than humans. Of course, AI is capable of performing repetitive and tedious tasks quickly and accurately. It also processes and stores vast amounts of data at high speed and performs complex calculations and simulations.

AI also completes tasks without getting bored, tired, or distracted and executes instructions without errors.

On the other hand, AI comes with its limitations and that’s where humans are superior.

Humans may learn and adapt to new situations and exhibit emotional intelligence and empathy, which AI lacks.

Humans may also exercise complex problem-solving abilities, which require intuition and judgment. Social interaction and communication, as well as understanding and processing ambiguous or incomplete information, are all attributed to humans.

In summary, AI eliminates human errors, works all day, and all night and is unbiased in making decisions. It also carries out repetitive jobs and can take and analyse large amounts of data.

AI may lack emotions and creativity and they do not improve with experience.