What helps AI models produce more reliable output and we trust machines?

One of the topics discussed in the panel “Breaking the creativity lock with the multifaceted model of artificial intelligence” at the GITEX 2024 global event was how artificial intelligence can win the trust of humans.

When it comes to the use of artificial intelligence by commercial companies, this reliability is very important, and there are currently many concerns surrounding the use of artificial intelligence.

One of the points that leads users to trust artificial intelligence is its stability in responding; But gaining the trust of users is not that simple and no one knows exactly how to do it, and for this you need to understand what the learning process of artificial intelligence is like?

Researchers have recently begun to understand artificial intelligence to find the answer to this question; In this regard, research activities are being carried out around the question of how the learning mechanism works.

However, learning is not a new concept, it is a science that has existed for decades under the title of “neuroscience”; Therefore, there is a lot of activity going on between neuroscience and artificial intelligence.

However, you can’t open someone’s head and then try to figure out where the neurons are firing, you can guess where events are happening, but with artificial intelligence, you can actually do that. It’s an old car, so you can detect anything and analyze everything that happens.

Therefore, many neuroscientists and artificial intelligence are collaborating to understand how learning happens and the day will come when we will have a better understanding of the learning process; So this is a step-by-step process that has started.