Can voice and facial recognition technology help AI surpass humans in emotional intelligence?

For a long time, I have been studying emotional intelligence as a hobby. Until recently, I still believe that even if artificial intelligence (AI) takes over all the tasks that require memory and logical reasoning, emotional intelligence will remain one of our human core strengths.

In the past few years, I have focused on the research of emotional intelligence algorithms, because this is the main business of my startup Inbot. However, the more I study them, the more I am convinced that the emotional advantage of human beings relative to AI is shrinking.

Can voice and facial recognition technology help AI surpass humans in emotional intelligence?

Israeli historian Yuval Noah Harari writes in his best-selling book Homo Deus that humans are essentially a collection of biological algorithms that evolved over millions of years. He claims that there is no reason to believe that non-organic algorithms cannot replicate and transcend everything that organic algorithms can do.

Max Tegmark, a professor of physics at the Massachusetts Institute of Technology, also expressed similar views in his book Life 3.0: Being Human in the Age of ArTIficial Intelligence. He offered a compelling reason that almost all intelligence is essentially independent.

Their arguments are justified. Our emotions and feelings are organic algorithms that respond to the environment. Algorithms are shaped by our cultural history, education and life experiences, and they can be reversed.

If we agree with Dr. Hulley and Dr. Tiger Mark, it means that we believe that computers will eventually be better at manipulating human emotions than humans themselves. In real life, human beings are actually not very good at dealing with things related to emotional intelligence.

Most of us know nothing about the most basic emotions we trigger on others. We usually end the communication with unquestionable quarrels and reject better reasons because they violate our prejudice, which is based on a stereotyped impression.

We don't understand the cultural background, the impact of family education, or the impact of our partner's current personal life. We rarely try to look at the issue from a different perspective from the standpoint of others. If we violate our worldview, we will not try to understand their reasons. We don't want to challenge our prejudice or prejudice.

On the Internet, the situation is much worse. If we think that their views are contrary to our prejudice, then we will draw sloppy conclusions from the comments of those we don't understand, and these conclusions are often wrong. Finally, we have an evolutionary feature that regards life as “the best to survive”. This makes it impossible for us to use others and focus on improving ourselves.

The most successful people tend to lie in order to gain an advantage, gain advantage through manipulation, and conceal their mistakes through deception. They want to win the game at all costs, although this process will bring you a lot of emotional damage.

When we humans continue to work hard to understand each other, the high emotional intelligence AI has been rapidly developed. Mobile phone cameras are everywhere, and facial tracking software is advanced enough to analyze the tiniest details in our facial expressions. The most advanced face tracking software can even distinguish false emotions.

Speech recognition and natural language processing algorithms also better recognize our emotional and emotional states from the audio. The techniques for analyzing facial and vocal emotional responses have gone far beyond the capabilities of the average person, and in many areas even surpassed the most capable people. AI can identify your personal traits such as sexual orientation, political orientation, or IQ by observing our faces.

Although AI can recognize almost any emotion from your face or voice, we have not invested much in the scientific research of Emotional Intelligence AI.

At present, progress in this area is almost entirely driven by commercial interests and human greed.

Media and entertainment companies need our attention and participation to make money. Companies like Facebook and YouTube have a large number of engineers working hard to create better ways to indulge in their content. I mentioned this issue in a previous article called "A worrying growth in the addictive industry."

These algorithms are designed to inspire our emotions and keep us happy. They are already very good at performing such tasks. Many of the core developers of these algorithms have begun to fear the impact of technology on us and warned that our ideas may be hijacked.

Unlike humans, AI can take advantage of your entire network history, and in most cases it has more information than anyone remembers. Some of the most advanced machine learning algorithms developed by Facebook and Google have been used in massive amounts of data for billions of people. Based on your communication, friends, and cultural background, these algorithms already understand your desires, biases, and emotional triggers. In many areas, they know themselves even better than you.

The advancement of the algorithm is so great that Facebook and Google are now accused of creating a filtering bubble that can influence public opinion, quickly change the political landscape, and influence elections. These algorithms have become so complex that humans cannot fully control them. Alex Stamos, Facebook's security director, recently said on Twitter that journalists criticized their behavior as unfair. In fact, they don't have any solutions that don't lead people to accuse them of being biased.

People have a lot of prejudice, which has affected our judgment. The world we see is what we want to see, not its true colors. Today, algorithms developed by humans also contain many human-specific biases. But if we want to eliminate this prejudice, it is relatively easy.

As AI became more adept at manipulating us, I found that people were happy to hand over their lives to future algorithms for management. We have seen this in practice. As long as you look around in public, you will find that almost everyone is attracted to their smartphones. People touch the mobile phone 2617 times a day, which is an indicator that the future technology will develop rapidly. We may soon see that the roles of humans and AI may shift, and AI uses humans as organic robots to achieve its goals.

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