Written by Bejan Tekay
Artificial intelligence (AI) has the potential to become the future of humanity. Even while reading this, you may be exposed to a great deal of AI. Self-driving cars, smartphones, and manufacturing robots are a few of the many examples that use AI. As you can guess, AI and human intelligence have a lot of resemblances because of their purpose. However, their way of existence arises with differences as well.
I want to begin with a question that revolutionizes artificial intelligence: "Can machines think?" question asked by Alan Turing in 1950. Since that, the AI field has never been the same again. The definition of AI may help us to understand the idea behind that old-fashioned question. It can be referred to as computers or computer programs that complete various tasks like human intelligence. In other words, we may say computers or computer programs mimic human actions. Now let’s get back to our question. In the same research, the question first appeared, "Computing Machinery and Intelligence." Turing published a test as well. The Turing test was a 5-minute test to learn if judges are competed to distinguish whether the responder is a human or a computer. And if the robot can’t be distinguished, it will be considered intelligent. Developed 72 years ago, the Turing test expects robots to mimic human responses, which shows that the contemporary definition of AI dates back to 1950.
Now we have an intelligence which is trying to mimic another intelligence. In this case, similarities between these are inevitable. Given the purpose of the two, task completion is their first similarity. Moreover, subfields of AI can be counted as similar such as deep learning and machine learning. These subfields depict its capability of learning like human intelligence. Also, both have neural networks. While AI has an artificial neural network (ANN), human intelligence has a biological neural network. Another similar ability is recognizing. For instance, I think most of us know about the captcha boxes. We are expected to choose between images based on the notion given to us. Human intelligence can easily choose between images. AI can also distinguish the images if it has a wide range of data sets.
We can shortly say that AI and human intelligence serve the same purpose. Nevertheless, AI and human intelligence are far from the same. As I mentioned above, similarities are inevitable, but the ways they work emerge as differences. If we are to continue with the subfields of AI, we can take deep and machine learning ability as examples. Deep and machine learning is significant for not only AI but also future technology; however, both require information to be trained, and data to be given. Unlike AI, human intelligence can learn from their experience. Even one example can show us that AI couldn’t be created without human intelligence. Another question is: does AI know what it does? With a powerful combination of coding skills, inputs, and training, you can get your task done by AI, but does AI know what task is it doing, or does it just do whatever it is told to? This is what we call consciousness in human intelligence, which is a broad topic to be discussed. When we dig deep into AI, we can see clear differences with human intelligence.
AI has the potential to change our future. Even now, almost every field use AI at some point. In addition, it has various subfields. When it comes to human intelligence, I think sometimes we may underestimate our intelligence. It is hard to tell what AI is going to look like in the future, but today we know that there are obvious similarities and differences between human intelligence.
Key Words
Artificial Intelligence
Human Intelligence
Machinery Thinking
Turing Test
References:
Turing, A. M. (n.d.). COMPUTING MACHINERY AND INTELLIGENCE. Academic.oup.com. Retrieved November 5, 2022, from https://academic.oup.com/mind/article/LIX/236/433/986238.
Korteling, J. E. (H., van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021, March 25). Human- versus Artificial Intelligence. Frontiers. Retrieved November 5, 2022, from https://www.frontiersin.org/articles/10.3389/frai.2021.622364/full.
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