​Robotic vacuums are already cleaning our homes and autonomous vehicles are just around the corner. Artificial intelligence is making an appearance in nearly every facet of our lives at an ever-increasing rate. With how quickly artificial intelligence is becoming a part of our day-to-day lives, it’s nearly impossible to imagine what life—and artificial intelligence—will be like in the year 2030. Researchers at Stanford want to do just that. As AI technologies find their way into the education, entertainment, health care, and security industries, it’s going to have profound effects on our society and Barbara Grosz, who is the chair of a committee at Stanford which is launching a planned 100-year study of artificial intelligence wants to make sure we’re prepared.


The committee that Grosz chairs is called AI100 and its goal is to understand artificial intelligence and its implications on our society as much as possible. Though we’re still a ways away from the kind of artificial intelligence we see in movies, the technology is advancing rapidly and if we wait until strong AI becomes a reality, we’ll be unprepared as a society for the ethical and policy considerations that AI technologies will raise.

The committee will be investigating eight areas of human activity that are most likely to be affected by the advance of artificial intelligence. These areas are transportation, home/service robots, health care, education, entertainment, low-resource communities, public safety and security, employment, and the workplace.

Of most concern to the committee is making sure that the benefits of artificial intelligence are shared broadly and that no demographic suffers at the expense of others’ benefit. Other considerations the committee will look into is the question of liability and accountability with AI, for instance, who is responsible when a driverless car crashes or an intelligent medical device fails resulting in injury or death? How can we prevent the abuse of AI technologies such as using it for racial discrimination or financial cheating?

One thing is for sure, the world will be very different in 2030 when AI is so much more advanced. The goal is to make sure that it does more good than harm.

Artificial Intelligence News brought to you by artificialbrilliance.com

Source: robohub.org/what-artificial-intelligence-will-look-like-in-2030/

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Artificial intelligence is already changing the world in many ways. It’s already defeated championship board game players and it’s proven to be a pretty good gambler when it turned a $20 bet into $11,00 at the most recent Kentucky Derby.

You can add beer brewing to the list of things that artificial intelligence is changing.

Rob McInerney recently graduated from Oxford University with a PhD in machine learning and used the things he learned there to co-found IntelligentX, a startup that is using an algorithm called Automated Brewing Intelligence (ABI) to brew the perfect beer.

How it works

The algorithm uses its “knowledge” about beer brewing and ingredients to create a recipe, which McInerney’s startup then brews. So far, the algorithm has created four beers: Golden AI, Amber AI, Pale AI, and Black AI. Though these four beers launched less than a week ago, they’re already all sold out. But artificial intelligence’s involvement doesn’t end there.

Intelligent X will use artificial intelligence to follow up with customers to get feedback regarding their thoughts about the beer. Their algorithm will then incorporate that feedback into the beer recipes. The goal is that with each batch of beer, the recipe will get better and better. The ultimate goal is to win a major beer competition at some future date with the recipe crafted entirely by artificial intelligence and customer feeback.


If IntelligentX’s experiment proves to be a success, it will be interesting to see how other companies start using artificial intelligence and customer feedback to make improvements to their products and services.

Hew Leith, the other co-founder of Intelligent X said, “Anything that’s got an emotive element where people have strong feelings about what it should be, we could really infuse it with artificial intelligence to make it a better product.”

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Source: newsweek.com/robo-beer-worlds-first-beer-brewed-artificial-intelligence-480341



​Movies about artificial intelligence want us to think that a machine overthrow is imminent if we continue to develop artificial intelligence. Even prominent tech experts like Elon Musk have warned us about an artificial intelligence takeover. But not everyone is worried. Experts in the field of artificial intelligence such as Jeff Hawkins and Donna Dubinsky, cofounders of Numenta, a machine intelligence company, say these fears are unfounded.

First off, they say, the field of artificial intelligence is still nowhere near creating machines that are intelligent in the same sense that humans are. When people talk about machine learning, it’s not the kind of learning that humans do. Computers can be taught to perform certain tasks very well. For instance, if you wanted to create an artificially intelligent computer that could recognize images of cats, you would teach it by showing it millions of pictures of cats.

What if we succeed?

Even if artificial intelligence researchers like Hawkins and Dubinsky succeed in creating machines that can learn in a way similar to how humans learn, we won’t have to run for the hills and hide. Companies like Numenta are only trying to reverse engineer part of the human brain, the neocortex which is what enables us to learn and understand the world. The portion of the brain that controls emotions isn’t really something the field of artificial intelligence is interested in. They want dispassionate learning machines, not machines that can experience anger. The artificial machines of the future won’t experience urges or emotions that lead humans to commit acts of aggression. They won’t be hungry, they won’t desire sex, and they won’t become jealous. There’s no reason machines would want to overthrow us or harm us.

So it seems that we’re safe for now, so long as no one gets the brilliant idea of creating machines that can feel.

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