Thinking is hard. The main reason is because the brain wants to be efficient, so it develops routines and habits that are hard to break. That’s why sometimes your head hurts when you really put your mind to work; you’re forcing your brain to break it’s routine and be unefficient.
This COVID-19 situation is making people act in very predictably irrational ways. Some people are arguing that COVID-19 is some kind of hoax, that it’s been made up to destabilize the economy on purpose. I’ve heard other people argue that the virus was made in a lab, it wasn’t; it comes from nature.
Decision making and creativity go hand in hand. I’m interested in books and tools that can help me think clearly because we all have brain bugs, aka cognitive biases, that hinder us from making great decisions. Only a handful of people actively work to keep biases away. How do they do that?
I believe there is an incredible deficit in critical thinking. Those of us who actively think critically are seen as negative from people who just want to be told exactly what they want to hear and never have their thoughts and beliefs challenged.
Just over a year ago I became CEO of Netek, where we developed emotion recognition technology through cameras and EEG. In just over a year, I’ve learned many things about this exciting technology and how the field of affective computing, emotion recognition technology, is in the beginning stages. We need to get the science right for this industry to become interesting and take off; specifically the theory of emotions that underpins the technology.
I’m very instinctive, have avoided many problems when I’ve followed my gut; and gotten into unnecessary ones when I’ve ignored it. Sound familiar? All of us make intuitive-based decisions, and most of the time our intuition is wrong. Why? In short because life is messy, there’s no way around it, and previous success makes us overconfident in our abilities.
After working for a year on emotion AI, I can confirm that human emotions are complex; we don’t really understand them. And training a computing system to recognize them as a human does is even more difficult.