Confused about emotion AI? Our own Paty Hernandez sat down with 5 people – a child, teen, college student, grad student and expert – to explain emotional artificial intelligence.
AI is an emerging technology that will drive the Next Economy. There isn’t a day that goes by when articles appear that predict or try to show how smart computers are the downfall of society. Most of these articles are heavily biased and ignorant, because they don’t truly understand what progress is being made by those of us working in the trenches.
One way we’ve been training computers to be smart is through video games. The most famous example is Deep Mind’s Alpha Go, which beat the best Go player in the world a few years ago.
The news of a computer beating a human at a game caused a frenzy, not just in the tech community, across the world. People saw this as a sign that a future where computers replace humans is near. Find the best gaming desks and other equipment o this website and improve your skills online.
But the proof is in the pudding.
As it stands right now, productivity is for the robots. Computers are really good at repetitive tasks that have a very specific goal; they suck at replicating how humans make their way through the world when uncertainty exists. This is one reasons why we’ve got a long way to go until computers are smarter and better than us at everything; not just video games, get more insights from the Belleville IT Support Companies.
A recent article from The Atlantic explains:
One characteristic shared by many games, chess and Go included, is that players can see all the pieces on both sides at all times. Each player always has what’s termed “perfect information” about the state of the game. However devilishly complex the game gets, all you need to do is think forward from the current situation.
Plenty of real situations aren’t like that. Imagine asking a computer to diagnose an illness or conduct a business negotiation. “Most real-world strategic interactions involve hidden information,” says Noam Brown, a doctoral student in computer science at Carnegie Mellon University. “I feel like that’s been neglected by the majority of the AI community.”
The bottom line: Everyday life is not like a video game. Real life requires making decisions based on limited information, something humans are very good at.
So if you’re worried that the end is near, don’t worry; it’s not. As with everything else, computing intelligence will evolve. Right now it’s very specific types of tasks that can be automated.
While machine and deep learning are advancing the state of artificial intelligence, there’s still a long way to go before machines can replace us; if ever. Still, we have to recognize that today we are surrounded by computing power: devices, virtual assistants and robots; it’s everywhere.
Right now machines are really good at replicating and doing a better job than humans at repetitive tasks that require a lot of processing power and pattern recognition. But AI has trouble replicating those things that humans are really good at: understanding, motivating, and interacting with human beings.
Which is why you shouldn’t be worried machines will take your job: Machines will not replace us until they become emotionally intelligent.
This is important because as artificial intelligence continues its journey into the mainstream in 2018, and emotion AI becomes more present in discussions about AI; it’s worth asking: why does AI need emotional intelligence?
Before we can share our lives with machines, we must teach them to understand and mimic human emotion. Today machines can recognize faces, and they can also read our emotions:
With that said, beyond the “cool” factor, why does AI need emotion?
Here are three reasons why:
The future is already here. For a look into how this looks like, checkout our last post where we outlined 10 useful things emotion AI can do.
Originally posted in Vibetek blog.
This was the year most every large company took notice of the rise of artificial intelligence. But while it encapsulates many categories – machine learning, deep learning, computer vision, natural language processing, speech recognition and others – there is still one category that hasn’t been recognized, beyond academia, and that’s emotion recognition; or affective computing.
If you have not been keeping up, emerging technologies will drive the Next Economy. Which means that in the future, you’re either a digital business or a dead business.
With that said, business leaders need to keep up with the pace of technology because exponential technologies require exponential leadership.
How? Beyond blogs and podcasts to cover your heart’s desire on all tech related news and topics; there are also newsletters.
In the future you’re either a digital business or a dead business; and it’s up to you to decide whether that happens or not. This was Lewis Farran’s message from a recent presentation he gave at a conference in Tijuana focused on Gartner’s top 10 strategic technology trends list, which include: AI foundations, intelligent apps, intelligent things, digital twins, cloud to the edge, conversational platform, immersive experience, blockchain, event-driven and continuous adaptive risk and trust.