Modeling complex observations for AI is a very difficult process.

When researchers are making AI which purpose is to make complicated observations. They are facing one problem. The AI makes dangerous shortcuts. And the reason for those shortcuts is that making the observation is a more complicated process in the brain. Then just some neural signal transfer through the brain.

In the brain, all senses, like the sense of balance, view, audition, touch, and other things are taking part in the observations. And that means the observation is always the sum of signals from different senses. But then we are always forgetting one thing. Those signals travel from the mixed with memories.

So the observations are:

*Signals from real-time senses that are connecting with

*Memories.

And that makes observation modeling for AI mode more difficult than researchers thought. The problem is that the complicated situations the AI must make precise observations so that it can create the right reaction and response for the systems.

The problem is how to model senses. The senses are a combination of billions of neurons. And that all of those neurons are registering stimuli little bit different ways.

The sense of hearing is an example of a sense that looks congruent. The fact is that neurons that recognize sounds register certain sound wavelengths more strongly than other wavelengths. Likewise, from which direction the sound comes affects the intensity of the sensation. So it means that the senses are difficult to model.

Sensorimotor skills and brain

Sensorimotor skills are the ability to give a response to a stimulus. When somebody talks to other people the person must know how to answer that speech. Or when a person slips on the floor the motoric brain cells must react to that thing immediately.

So sensorimotor skills are a combination:

*Sensory impulses are activating

*Motor neurons that are giving a response to that signal.

Some of those reactions are heredity. And some of those reactions are learned. The fact is that neurons are learning new things every day.

During that process, they are exchanging information. And the purpose of that process is to make a person avoid situations that can cause harm. Or if that is impossible the next thing what brain must do is minimize damage.

The brain is an impressive system. During sleep, the brain or neurons change information. And during that time, brain areas are teaching each other.

During that process, the brain analyzes what it made in certain situations. Then it analyzes what was successful and what it should not do in similar situations. The fact is that every single neuron in the human brain has its responsibility. And neurons that are transmitting information to the brain must interact with neurons that control motors and speech. So all brain areas must work together.

This is the problem with AI and observations. The computers and their algorithms must give the right response to the stimulus. If the system cannot analyze the stimulus right that thing causes catastrophe.

https://scitechdaily.com/ai-use-potentially-dangerous-shortcuts-to-solve-complex-recognition-tasks/

https://scitechdaily.com/one-brain-region-teaches-another-during-sleep-converting-new-data-into-enduring-memories/

https://scitechdaily.com/working-memory-how-the-brain-focuses-on-whats-in-mind/

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