If the discoveries of the 20th century made humanity realize how important emotional intelligence is for every human being, then 21st century is rushing us towards making machines no less cool than we’re by providing them with artificial emotional intelligence.
Imagine yourself waking up and sitting down in front of your computer. You would greet it and, perhaps, tell your night dreams. In turn, your computer would recognize whether you’re in a good mood and suggest what you may want to do in order to have a productive day. Sounds impossible? It’s not actually.
The main point is that every AI-driven machine is already very smart in tackling data-concerned issues, a lot smarter than we are. But it’s far from the AI that we have seen in the numerous sci-fi movies. The problem is that AI programs can’t feel yet, but they are learning how to.
Let’s find out why possession of artificial emotional intelligence is crucial for every smart machine, and where how developed it’s now.
Can artificial intelligence have emotion?
Richard Feynman once said: “What I cannot create, I don’t understand”. Later this phrase was adjusted to the reality of applied science by changing “create” to “build”. Now it’s applicable to the whole AI field and leaving us and numerous Artificial Intelligence companies with the question: do we understand artificial emotional intelligence enough to create it?
How it works in humans
The studies of Emotional Intelligence started at the point where scientists couldn’t answer why intelligence as an educational background couldn’t serve as the only source of competitive power for a person. So, they thought, there might something else that we could investigate.
Despite the term, Emotional Intelligence isn’t made of just emotions. Instead, it’s based on the connections between the emotional brain and rational brain. Loosely speaking, the stronger the connecting path is, the more developed emotional intelligence is.
This is how it works: coming from the external environment, every signal inevitably goes through the limbic system (which is the emotional center of the brain) before it finally reaches neocortex, or the rational brain.
The best part of this, however, is that not only rational part of intelligence can be increased but the emotional one as well. By practicing certain approaches developed by evangelists of emotional intelligence, one can force neurons to create new connections between rational and emotional parts of the brain.
Now, armed with the clear view at how emotional intelligence functions in human beings, let’s examine its applicability to artificial mind.
How it may work in machines
– It’s pretty clear that artificial emotional intelligence needs rational part on one hand and emotional one on the other hand. One of the ways to reach it is to build an artificial brain that works the same way the human brain does. It implies the reproduction of billions of neurons and- what is even more important – their countless connections.
Despite all the wilderness of the idea, it’s a promising technology also because it means that one day it will be possible to upload a brain of just anyone to a digital device and run it outside of its natural biological environment.
Reverse-engineering the brain is an extremely challenging task, and the closest to tackling it is one of the very special Artificial Intelligence companies – Carboncopies. The company is focused on the creation of Substrate-Independent Mind. According to Dr. Randal Koene, founder of Carboncopies, “SIM means running mind on a platform other than its original biological platform.”
Koene considers the task as possible from both scientific and technical sides and refers to other successful examples in the field, such as building neuroprosthetic devices for restoring and even strengthening hippocampal functions.
On the early stage of brain emulation, crucial is to create an extremely precise functional model of the brain. It’s not possible yet due to the black holes in the knowledge of how the brain works and lack of appropriate tools for accessing data about brain structures and functions.
– The other way of creating Artificial Emotional Intelligence is the opposite one. While whole brain emulation implies moving from the complexity of brain structure to the simplicity of a single cell, this way starts from the single artificial neuron and heads on the high-level complexity.
All the emotion recognition software, like Affectiva (learn more about Artificial Intelligence companies here), relies upon the complex interactions of Artificial Neural Networks (the corresponding field is called Deep Learning). This kind of software allows for tracking emotional response in real time. It’s widely used in advertising and marketing as it helps to humanize the communication between customers and services.
One more nice thing about this approach is the possibility to create self-learning system based on the ANN. Therefore, the systems that are trained to recognize a certain set of emotions are going to become only better with the time without any manual data injection.
Unfortunately, there’s also a fly in this ointment. The more complex ANN become, the more difficult is to interpret the way they function. There’s already a certain lack of understanding the way the most successful predictive models work, and it’s going to strengthen.
Both ways of reaching Artificial Emotional Intelligence – emulating the whole brain and leaving it to the self-learning ANN systems – are promising. The greatest minds of planet work on making them possible. However, Artificial Intelligence with emotion recognition is already helping us in many fields, such as business, education, marketing, shopping, etc.
We can already do a lot of great things to make the interaction between services and clients more human-like. Moreover, in the 21st century, it should become the primary goal of nearly every service that has online representation.
Get closer to your clients and the most innovative technologies at once: order your personal chatbot for business now. Feel free to contact me when in doubt.