Will Artificial Intelligence Become Smarter Than Humans?
What is artificial intelligence?
It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
Informally, the term of artificial intelligence itself is often used to describe machines that imitate and copy human brain. In this digital era, tasks are getting harder and harder, therefore machines need some sort of intelligence to solve these kinds of problems. Sometimes such intelligence is forgotten due to its commonness. One of the examples is optical character recognition (OCR), because it is applied in many modern machines, the process behind it is often excluded from artificial intelligence.
Narrow AI or Artificial Narrow Intelligence (ANI) is an AI that is meant to do specific works. Narrow AI is what we commonly see in our everyday lives. Examples of ANI can be found in Apple’s Siri, Amazon’s Alexa, Tesla’s autopilot, and many more.
General AI or Artificial General Intelligence (AGI) is a hypothetical type of artificial intelligence where a machine would have knowledge that is considered equal to humans. General AI would have an awareness that can be used to tackle tasks, learn, and plan for the future.
Super AI or Artificial Superintelligence (ASI) is an AI that could surpass the intelligence and ability of the human mind. Although ASI is still totally hypothetical with no pragmatic models being used today, researchers and analysts are still exploring its development.
Can AI achieve AGI or ASI?
Although most of the artificial intelligence we have access to is limited to narrow AI (ANI), as we do not have a complete understanding of our own brains yet. It is hard to replicate some things we do not comprehend ourselves. But, many believe that AGI and ASI can be achieved one day, due to the fact that theoretically replication of the human brain using algorithms is possible, as mentioned by the Church-Turing thesis.
Given infinite time and memory, any kind of problem can be solved algorithmically.
Arising artificial general intelligence (AGI) companies are putting different efforts in generalizing the capabilities of artificial intelligence algorithms and overhauling artificial intelligence frameworks. Researchers are associated with numerous efforts aimed at generalizing the capabilities of artificial intelligence algorithms and believe that the path ahead is a hybrid artificial intelligence, a mix of neural networks and rule-based frameworks.
Future of AI
How do experts predict the future of artificial general intelligence? AI expert, Stuart Russell believes that there are still milestones that have to be achieved before we can reach the AGI stage.
One example is the ability to understand the content of language so we can translate between languages using machines. When humans do machine translation, they understand the content and then express it. And right now machines are not very good at understanding the content of language. If that goal is reached, we would have systems that could then read and understand everything the human race has ever written, and this is something that a human being can’t do.
Theoretical physicist and cosmologist, Stephen Hawking said,
If AI itself begins designing better AI than human programmers, the result could be machines whose intelligence exceeds ours by more than ours exceeds that of snails.
On the other hand, some believe that AGI could not be achieved and warned if AGI ever achieved by humans. Elon Musk said,
AGI is humanity’s biggest existential threat. Efforts to bring it about, he has said, are like “summoning the demon.
According to a professor at Northwestern University, Digo Klabjan does not see the potential of achieving artificial general intelligence.
Currently, computers can handle a little more than 10,000 words. So, a few million neurons. But human brains have billions of neurons that are connected in a very intriguing and complex way, and the current state-of-the-art [technology] is just straightforward connections following very easy patterns. So going from a few million neurons to billions of neurons with current hardware and software technologies — I don’t see that happening.
Artificial intelligence will require years maybe decades to reach the stage of artificial general intelligence or even artificial superintelligence. However, the transition process has started, and most companies are fusing artificial intelligence for better deals, forecasts, and furthermore offer new development chances.
There is no doubt that the future of artificial intelligence is an exciting career. I think that artificial general intelligence could be achieved sooner than expected, looking at today’s technology that is growing exponentially. Sooner or later, every industry will be affected by the presence of AI.
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