December 8, 2021
Artificial intelligence has existed for more than a few decades to model human sensory systems. Not only do they resemble the capabilities of humans, but many have human-like structures.
The questions:
Artificially intelligent systems can perform a variety of tasks such as speech recognition, natural language processing, and image classification, and have demonstrated robustness to variations in auditory or visual input. The question arises whether the invariances learned by these systems are somewhere close to the invariances learned by human perceptual systems over the years of maturity from childhood to adulthood. Is it anywhere near that?
Some arguments
Human intelligence encompasses endless attributes such as the ability to think, learn from experience, adapt to new situations, understand complex ideas, solve numerical problems, construct new ones from existing knowledge, respond to different situations at different times, and interact with other people. What makes humans intelligent is remarkable, and there are strong psychological and physiological factors that support natural intelligence.
AI systems have much higher execution speed, have more storage and processing power with longer operational capacity and accuracy. This leads to a new era where artificial intelligence systems have been discovered that have started to work for people in many fields, manufacturing, service delivery, customer support, etc., especially which requires more energy and patience. Because of this, human workers are forced to move to lower paying jobs.
If we take a closer look, humans can generate ideas and can innovate by looking at problems to find appropriate solutions, while AI systems can only take those ideas, examine data, present data, and can predict future events based on previous ones. on trends.
A lot of research has been done on such topics, where many people have tried to make comparative analyzes based on different parameters. According to a 2019 study by a group of MIT researchers and their findings presented at the Neural Information Processing Systems Conference, there are many differences in perception. If you haven’t read my blog about their work, you can read it here. In the early years with the advancement of artificial intelligence, there were many predictions and arguments about human and machine intelligence. It was assumed that artificially intelligent systems would completely replace humans in the workplace.
Conclusion
There is no question of whether AI will replace humans, assuming that AI systems have taken their qualities from humans. Is it possible that any intelligence can somehow go beyond human intelligence? Another major concern is the competition between humans and machines. In reality, there is no competition. If humans are intuitive, emotional, decisive and sensitive to the environment, on the other hand, AI systems are fast, accurate and rational.
Although artificial intelligence is said to derive from human intelligence and the two sometimes overlap, it is still an open question. Who is better will always be up for debate, but in my opinion, natural intelligence is real and artificial will always be augmented, no matter how far it goes.