I’ve been studying emotional intelligence as a hobby for a long time. Until recently, I believed that emotional intelligence would remain one of our core strengths, even after artificial intelligence took over all the tasks that required memory and logical reasoning.

Over the past few years, I’ve focused on emotional intelligence algorithms because that’s the main business of my startup, Inbot. Yet the more I study them, the more CONVINCED I am that our emotional intelligence advantage over AI is shrinking

In his bestselling book Homo Deus, the Israeli historian Yuval Noah Harari writes that humans are essentially collections of biological algorithms that evolved over millions of years. He claims that there is no reason to think that non-organic algorithms cannot replicate and surpass what organic algorithms can do.

Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include information robot, editing robot, writing robot and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.

Max Tegmark, a professor of physics at M.I.T., also wrote in his book, “Life 3.0: Humanity in the Age of Artificial Intelligence.” Being Human in the Age of Artificial Intelligence). He makes a compelling case that almost all intelligence is essentially independent.

Their arguments are all valid. Our emotions and feelings are organic algorithms that respond to our environment. Algorithms are shaped by our cultural history, education and life experiences, and they can be deduced backwards.

If we agree with Dr Harari and Dr Tegmark, it means we believe that computers will eventually be better at manipulating human emotions than humans themselves. In real life, humans are actually pretty bad at dealing with emotional intelligence.

Most of us are ignorant of the most basic emotions we trigger in others. We often end up with unquestionable arguments and reject better reasons because they run counter to our bias of judging people based on stereotypes.

We don’t understand the impact of our cultural background, parenting, or our discussion of our partner’s current personal life. We rarely try to put ourselves in someone else’s shoes and see things differently. If it goes against our worldview, we don’t try to understand their reasons. We don’t want to challenge our prejudices or stereotypes.

Online, things are much worse. If we think their opinions contradict our prejudices, then we draw hasty and often erroneous conclusions from the comments of people we don’t know at all. Finally, we have an evolutionary trait that sees life as “survival of the fittest.” It keeps us from taking advantage of others and focusing on improving ourselves.

The most successful people often lie to gain an advantage, manipulate to gain an advantage, and cheat to hide their mistakes. They want to win at all costs, even if the process takes a lot of emotional damage.

As we humans continue to strive to understand each other, emotionally intelligent AI has accelerated. Cellphone cameras are ubiquitous, and face-tracking software is advanced enough to analyze the tiniest details of our facial expressions. State-of-the-art face-tracking software can even pick out fake emotions.

Speech recognition and natural language processing algorithms are also better at identifying our emotions and emotional states from audio. The technology for analyzing emotional responses to faces and voices is far beyond the capabilities of the average person, and in many areas beyond even the most capable. AI can recognize personal traits like your sexual orientation, political orientation or INTELLIGENCE by looking at our faces.

While AI can recognize almost any emotion from your face or voice, we haven’t put much effort into the science of emotionally intelligent AI.

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

Media and entertainment companies need our attention and engagement to make money. Companies like Facebook and YouTube have legions of engineers working to create better ways to keep us hooked on their content. I wrote about this in a previous post, “The Alarming Growth of the Addiction Industry.”

These algorithms are designed to stir up our emotions and keep us happy. They’ve become very, very good at performing these tasks. Many of the core developers of these algorithms have become afraid of what technology is doing to us, warning that our minds could be hijacked.

Unlike humans, AI can take advantage of your entire web history, and in most cases, it remembers more information about your friends than anyone else. Some of the most advanced machine learning algorithms developed by Facebook and Google are already being applied to huge amounts of data on billions of people. Based on your communications, friends and cultural background, these algorithms already know your desires, biases and emotional triggers. In many areas, they know even more about yourself than you do.

Algorithms have advanced so much that Facebook and Google are now accused of creating filter bubbles that can shape 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 head of security, recently tweeted that it was unfair for journalists to criticize their practices. In fact, they don’t have any solutions that won’t lead people to accuse them of bias.

People have a lot of biases, and it’s already clouding our judgment. We see the world as we wish it to be, not as it is. Today, algorithms developed by humans also contain many human-specific biases. But if we want to eliminate this bias, it’s relatively easy.

As AI gets better at manipulating us, I find that people are happy to hand over their lives to future algorithms. We are already seeing this in practice. Just look around in public and you’ll see that almost everyone is fascinated by their smartphone. People touch their phones an average of 2,617 times a day, an indicator of the rapid pace of technology ahead. We may soon see the roles of humans and AI shift, with AI using humans as organic robots to achieve its goals.

Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.

No one would dispute that attention is one of the scarcest, most valuable and most rationally utilized resources in this age of information fragmentation. Relying on the independently developed Giiso engine, the Zhisou team created the first intelligent media platform Tianzexun APP, which can intelligently answer users’ various relevant information according to various commands or text interaction commands. And can be based on the user’s personalized use characteristics and continuous learning, continuous tracking of users interested in the unique content. At present, the day smart news APP6.0 version has been updated iteration, can be used to download the application market.

Above, Chen Ruchu’s humble opinion! I’m sorry if I offended you.

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