ARTIFICIAL INTELLIGENCE QUOTES VII

quotations about artificial intelligence

Life might be about to get a lot shorter, if the AI-related fears of Stephen Hawking, Bill Gates, Elon Musk, Jaan Tallinn, Nick Bostrom and a host of other giant scientific minds are realised. Concerns range from unchecked AGI weaponry to the spectre of a "technological singularity", leading to an "intelligence explosion" in which a machine becomes capable of recursive self-improvement, and in doing so surpasses the intellectual capacity of the human brain and, by extension, our ability to control it. Should a super-intelligence disaster loom, history is not exactly a reliable indicator that we'll have had the foresight to withdraw from the AI arms race before it's too late.

CLEMENCY BURTON-HILL

"The superhero of artificial intelligence: can this genius keep it in check?", The Guardian, February 16, 2016


The science of machine learning is largely experimental because no universal learning algorithm exists--none can enable the computer to learn every task it is given well. Any knowledge-acquisition algorithm needs to be tested on learning tasks and data specific to the situation at hand, whether it is recognizing a sunset or translating English into Urdu. There is no way to prove that it will be consistently better across the board for any given situation than all other algorithms.

YOSHUA BENGIO

"Machines Who Learn", Scientific American, June 2016


Currently, all evidence points that Al is not intelligent as the ordinary citizen has been made to believe. It all depends on the content that humans feed the machines.

PATRICK HENRY

"Just how Artificial is Artificial Intelligence?", TrendinTech, December 16, 2016


Whether sophisticated AI turns out to be friend or foe, we must come to grips with the possibility that as we move further into the 21st century, the greatest intelligence on the planet may be silicon-based.

SUSAN SCHNEIDER

"The Problem of AI Consciousness", Kurzweil Accelerating Intelligence, March 18, 2016


Artificial intelligence is fueled by data. Pick an approach, and you'll find data at the center. Why? Because large volumes of complete data sets are needed to accurately recognize significant patterns of behavior with people, events or other characterizations, and that's what AI is all about.

TOM FISHER

"Big Data, Small Target: The Smart Approach To Artificial Intelligence", Forbes, January 16, 2018


When people talk about the future of technology, especially artificial intelligence, they very often have the common dystopian Hollywood-movie model of us versus the machines. My view is that we will use these tools as we've used all other tools--to broaden our reach. And in this case, we'll be extending the most important attribute we have, which is our intelligence.

RAY KURZWEIL

"Reinvent Yourself", Playboy, April 19, 2016

Tags: Ray Kurzweil


Artificial intelligence is capable of many things, and now it looks like AI could potentially given screenwriters a run for their money. There is a movie that has been launched on Kickstarter called Impossible Things, and while movies seeking funding isn't exactly new, what makes this project so unique is that the script was co-written by AI.

TYLER LEE

"'Impossible Things' is a Movie Written by Artificial Intelligence'", Ubergizmo, July 26, 2016


As we deploy more and give more responsibilities to artificial agents, risks of malfunction that have negative consequences are increasing.

PHILIPPE PASQUIER

"Exploring the risks of artificial intelligence", Tech Crunch, March 21, 2016


Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves.

HERBERT A. SIMON

The Sciences of the Artificial

Tags: environment


It does not matter how fast the computer is, how much memory it has, or how complex and high-level the programming language. The Jeopardy and Chess playing champs Watson and Deep Blue fundamentally work the same as your microwave. Put simply, a strict symbol-processing machine can never be a symbol-understanding machine.

BOBBY AZARIAN

"A neuroscientist explains why artificially intelligent robots will never have consciousness like humans", Raw Story, March 31, 2016


Thanks to AI, the face will be the new credit card, the new driver's license and the new barcode.

GEORGES NAHON

"8 ways artificial intelligence is going to change the way you live, work and play in 2018", CNBC, January 5, 2018


Unlike any other human invention, AI has the potential to reshape humanity, but it could also destroy us.

GEORGE DVORSKY

"Everything You Know About Artificial Intelligence is Wrong", Gizmodo, March 14, 2016


Artificial intelligence is OK at a distance. Up close and personal, however, the lack of a human face counts more and more.

TOM CHATFIELD

"How much should we fear the rise of artificial intelligence?", The Guardian, March 18, 2016


Nowadays, we have computers performing tasks that require the equivalent of human intelligence. Back in the day it was thought that this would require a certain type of processing: a deep semantic representation of meaning and complex inference. It turns out that sheer brute force data analytics cuts the mustard just as well.

ALAN SMEATON

"Artificial intelligence is dead: long live data analytics", The Irish Times, July 28, 2016


The AI that I know is a branch of computational mathematics. That's really all there is to it: math. And it's not even that difficult. Compared with the equations of theoretical physics, which is what my university thesis was on, computational math is not that complicated. It was basically invented in 1936 by Turing, so it is only 80 years old. But look how it has changed the world.

PIERO SCARUFFI

"Why Everything Elon Musk Fears About AI Is Wrong", PC Mag, June 19, 2018

Tags: mathematics


Google's work in artificial intelligence ... includes deep neural networks, networks of hardware and software that approximate the web of neurons in the human brain. By analyzing vast amounts of digital data, these neural nets can learn all sorts of useful tasks, like identifying photos, recognizing commands spoken into a smartphone, and, as it turns out, responding to Internet search queries. In some cases, they can learn a task so well that they outperform humans. They can do it better. They can do it faster. And they can do it at a much larger scale.

CADE METZ

"AI is transforming Google Search -- The rest of the Web is next", Wired, February 4, 2016


The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. The mental abilities of a four-year-old that we take for granted -- recognizing a face, lifting a pencil, walking across a room, answering a question -- in fact solve some of the hardest engineering problems ever conceived.... As the new generation of intelligent devices appears, it will be the stock analysts and petrochemical engineers and parole board members who are in danger of being replaced by machines. The gardeners, receptionists, and cooks are secure in their jobs for decades to come.

STEVEN PINKER

The Language Instinct

Tags: Steven Pinker


AI, which will likely get to AGI (artificial general intelligence) by being programmed to self-improve, wouldn't see "human-level intelligence" as some important milestone--it's only a relevant marker from our point of view--and wouldn't have any reason to "stop" at our level.... It's pretty obvious that it would only hit human intelligence for a brief instant before racing onwards to the realm of superior-to-human intelligence.

TIM URBAN

"The AI Revolution: The Road to Superintelligence", Wait But Why, January 22, 2015

Tags: intelligence


AI is not a passing trend. It's been with us for decades and is here to stay. As technology and science improve, so will the algorithms behind AI and the hardware that's running it. However, I still believe it must improve before it can become an inseparable and integral part of our lives.

JURICA DUJMOVIC

"What's holding back artificial intelligence? Americans don't trust it", Market Watch, March 30, 2017


The next innovations will come through artificial intelligence. From then on, it will be the AI innovating. We need to think about our role as technologists and we need to think about the ramifications--positive and negative--and we need to transform ourselves as innovators.

ATEFEH RIAZI

attributed, "United Nations CITO: Artificial intelligence will be humanity's final innovation", Tech Republic, February 19, 2016