quotations about artificial intelligence
Myth: "We will never create AI with human-like intelligence."
Reality: We already have computers that match or exceed human capacities in games like chess and Go, stock market trading, and conversations. Computers and the algorithms that drive them can only get better, and it'll only be a matter of time before they excel at nearly any human activity.
GEORGE DVORSKY
"Everything You Know About Artificial Intelligence is Wrong", Gizmodo, March 14, 2016
Just because a machine passes the Turing Test--in which a computer is indistinguishable from a human--that doesn't mean it's conscious. To us, an advanced AI may give the impression of consciousness, but it will be no more aware of itself than a rock or a calculator.
GEORGE DVORSKY
"Everything You Know About Artificial Intelligence is Wrong", Gizmodo, March 14, 2016
In an extreme, horrifying case, humans upload their brains, or slowly replace the parts of their brains underlying consciousness with silicon chips, and in the end, only non-human animals remain to experience the world. This would be an unfathomable loss. Even the slightest chance that this could happen should give us reason to think carefully about AI consciousness.
SUSAN SCHNEIDER
"The Problem of AI Consciousness", Kurzweil Accelerating Intelligence, March 18, 2016
Brains and computers work very differently. Both compute, but only one understands--and there are some very compelling reasons to believe that this is not going to change. It appears that there is a more technical obstacle that stands in the way of Strong A.I. ever becoming a reality.
BOBBY AZARIAN
"A neuroscientist explains why artificially intelligent robots will never have consciousness like humans", Raw Story, March 31, 2016
The history of AI research, which can be traced back 58 years to a conference at Dartmouth College in New Hampshire where the phrase was coined, has been littered with false dawns. If the latest hopes also fall short, it won't be because of a lack of ambition or effort.
RICHARD WATERS
"Artificial intelligence: machine v man", FT Magazine, Oct. 31, 2014
One could argue that an AI system would not only imitate human intelligence, but also "correct" it, and would also scale to arbitrarily large problems. But we are now in the realm of science fiction.
MICHAEL JORDAN
"Artificial Intelligence?--?The Revolution Hasn't Happened Yet", Medium, April 18, 2018
The year 2017 arrives and we humans are still in charge. Whew! The machines haven't taken over yet, but they are gaining on us.
EDITORIAL BOARD
"Artificial intelligence isn't the scary future. It's the amazing present.", Chicago Tribune, January 1, 2017
Computers can already hold a massive amount of instantly retrievable data in a manner that puts most humans to shame, but getting them to actually display intelligence is an entirely different challenge. A team of researchers from Northwestern University just made a huge stride toward that goal with a computational model that actually outperforms the average American adult in a standard intelligence test.
MIKE WEHNER
"Artificial Intelligence Makes Shocking Advance", York Post, January 20, 2017
Is your toothbrush really artificially intelligent? Is your washing machine? No.
JAMES VINCENT
"No, this toothbrush doesn't have artificial intelligence", The Verge, January 4, 2017
Measuring progress in AI is not easy. The layperson usually cites the Turing test, developed by Bletchley Park codebreaker Alan Turing in 1950. It focuses on whether a computer can convince a human in a blind test that they are talking to another human. But that test, says Shanahan, is more about "tricking" people through mimicry than developing AI genuinely capable of learning.
ROB DAVIES
"Artificial intelligence brings its brains and money to London", The Guardian, March 5, 2016
Some are trying to build machines whose behavior is indistinguishable from humans. That was the original group. IHMC is a reaction to that as we're not into building artificial humans. They are in good supply, already. And, by the way, the term artificial is a singularly poor name. Perhaps enhanced, augmented or amplified intelligence would be more apropos. Artificial implies something fake.
KEN FORD
"Amped up for artificial intelligence", News from Tulane, March 29, 2017
Artificial intelligence has already provoked a public debate in recent months about a different kind of risk. This has centred on how it might wipe out human work, as clever computers and the robots they make possible take over most types of human employment. But the bigger issue may be whether AI wipes out mankind itself.
RICHARD WATERS
"Artificial intelligence: machine v man", FT Magazine, Oct. 31, 2014
The road to true artificial intelligence is not paved with a single discipline, but rather a collection of specialized subject matters, techniques and theories that together interact to create some form of intelligence.
CHRISTOFFER O. HERNOES
"AI is closer than we know", Tech Crunch, March 11, 2016
It's striking how many of the world's leading scientific thinkers -- Bill Gates, Elon Musk, Tim Berners-Lee and the late Stephen Hawking -- all worry that an AI will regard us as annoying bugs.
SEAN MONCRIEFF
"The dark side of artificial intelligence is doomsday scary", The Irish Times, June 2, 2018
Less expensive, more abundant data storage, increased processing power and advances in deep-learning technology could lower the cost of artificial intelligence and make it possible for machines to learn with minimal programming from humans.
STEVE NORTON
"Artificial Intelligence Looms Larger in the Corporate World", Wall Street Journal, January 11, 2017
Given the rapid pace of research, I expect AI to be able to create new personalized media, such as music according to your taste. Imagine a future music service that doesn't just play existing songs you might like, but continually generates new songs just for you.
JAN KAUTZ
"8 ways artificial intelligence is going to change the way you live, work and play in 2018", CNBC, January 5, 2018
The strong comeback for AI after a long and extended hiatus provides a lesson in the sociology of science, underscoring the need to put forward ideas that challenge the technological status quo.
YOSHUA BENGIO
"Machines Who Learn", Scientific American, June 2016
If we succeed in building human equivalent AI and if that AI acquires a full understanding of how it works, and if it then succeeds in improving itself to produce super-intelligent AI, and if that super-AI, accidentally or maliciously, starts to consume resources, and if we fail to pull the plug, then, yes, we may well have a problem.
ALAN WINFIELD
attributed, "Artificial Intelligence Is Not a Threat--Yet", Scientific American, March 2017
Personal assistant AIs will keep getting smarter. As our personal assistants learn more about our daily routines, I can imagine the day I need not to worry about preparing dinner. My AI knows what I like, what I have in my pantry, which days of the week I like to cook at home, and makes sure that when I get back from work all my groceries are waiting at my doorstep, ready for me to prepare that delicious meal I had been craving.
ALEJANDRO TROCCOLI
"8 ways artificial intelligence is going to change the way you live, work and play in 2018", CNBC, January 5, 2018
People understand the linear algebra behind deep learning [neural networks]. But the models it produces are less human-readable. They're machine-readable. They can retrieve very accurate results, but we can't always explain, on an individual basis, what led them to those accurate results.
CHRIS NICHOLSON
attributed, "AI is transforming Google Search -- The rest of the Web is next", Wired, February 4, 2016