quotations about artificial intelligence
I think we're going to need artificial assistance to make the breakthroughs that society wants. Climate, economics, disease -- they're just tremendously complicated interacting systems. It's just hard for humans to analyze all that data and make sense of it.
DEMIS HASSABIS
attributed, "Artificial intelligence isn't the scary future. It's the amazing present.", Chicago Tribune, January 1, 2017
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
We will see AI emerging as a major and a powerful tool in both the detection and investigation of malice and in the construction of systems resilient to attack. But what's sauce for the goose is sauce for the gander. Cyberhackers can use AI too and so the cyber-arms war will continue.
JOHN CLARK
"Why Artificial Intelligence is the answer to the greatest threat of 2017, cyber-hacking", The Independent, January 9, 2017
Artificial intelligence is only as good as the data it crunches.
JONATHAN VANIAN
"Why Data Is The New Oil", Fortune, July 11, 2016
Artificial intelligence (AI) is not some Asimovian fantasy, nor an extravagance best left to starch-smocked scientists clinking beakers together in an underground laboratory. AI is an opportunity to create tools that save money, save lives and improve life in ways that can't be measured.
COLIN WOOD
"Grounding AI: Artificial Intelligence is Closer -- and Less Awesome -- than Most Realize", Government Technology, January 20, 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
If there's one thing the world's most valuable companies agree on, it's that their future success hinges on artificial intelligence.
ENRIQUE DANS
"Right Now, Artificial Intelligence Is The Only Thing That Matters", Forbes, July 13, 2016
A computer with a consciousness or human-like executive function doesn't exist yet, so strong AI remains the purview of Hollywood and the Centre for the Study of Existential Risk. Today's humanist concerns himself with weak AI applications, the kind of smart software with narrowly defined functionality that increasingly pervades daily life across economic classes.
COLIN WOOD
"Grounding AI: Artificial Intelligence is Closer -- and Less Awesome -- than Most Realize", Government Technology, January 20, 2016
Artificial intelligence is that field of computer usage which attempts to construct computational mechanisms for activities that are considered to require intelligence when performed by humans.
DEREK PARTRIDGE
Artificial Intelligence and Software Engineering
Debates about artificial intelligence (AI) cover a lot of theoretical ground, from whether smart robots will eliminate jobs(and/or the human race) to how we'll all fit neatly into a computer simulation after the singularity. There's a lot of philosophical meat on those bones to gnaw through.
BRANDON REYNOLDS
"4 Ways Artificial Intelligence Is Actually Going To Change The Way You Do Sales", Forbes, January 31, 2017
Figuring out how to reconcile conflicting values is one of the most important challenges facing AI designers. It is vital that they write code and incorporate information that is unbiased and non-discriminatory. Failure to do that leads to AI algorithms that are unfair and unjust.
DARRELL M. WEST
"What is artificial intelligence?", Brookings Institution, October 4, 2018
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
Future AIs, should they ever wax philosophical, may pose a "problem of carbon-based consciousness" about us, asking if biological, carbon-based beings have the right substrate for experience. After all, how could AI ever be certain that we are conscious?
SUSAN SCHNEIDER
"The Problem of AI Consciousness", Kurzweil Accelerating Intelligence, March 18, 2016
Is AI coming soon? I find this question too boring to spend much time on anymore. Of course it's coming soon. The only question I'm interested in is what we're going to do about it. I keep pondering this, and I keep failing to come up with any likely answers that are very optimistic in the medium term. Maybe I'm not thinking outside the box enough. But it sure looks like we're determined to keep our collective heads in the sand for a long time. At best, the result is going to be a grim future of plutocracy for some and the dole for everyone else.
KEVIN DRUM
"Artificial Intelligence Is Coming Whether You Like It Or Not", Mother Jones, February 6, 2017
The rise of A.I. cannot be rolled back. But, rather than simply trying to control it through the command and control regulations of years past, Washington should embrace change and seek to construct new regulatory approaches that can channel these powerful tools toward positive ends. That would be revolutionary indeed.
COLIN MCCORMICK
"Be Like Lee", Slate, March 22, 2016
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
Within the weak AI camp there is an active research area called cognitive science which uses computers to model human behavior with the intention of learning more about human beings. A very important aspect of this is the relationship between humans and computers. Whether or not it is possible to build human-like machines, we certainly build human-computer systems which involve both machines and people. For such systems to function properly it is just as important to engineer the human part of the system as it is to engineer the physical computing part of the system.
JEFFREY JOHNSON & PHILIP PICTON
Mechatronics Volume 2: Concepts in Artificial Intelligence
For the past few decades, we have been tailoring our lives to accommodate bots and introducing new environments that bots comprehend. So, technically, we have programmed ourselves into the proverbial corner, with every aspect of our lives built in a way to be understood by bots and becoming so complex that we ourselves cannot understand without AI. We got ourselves into a pickle, didn't we?
SARIA JOSEPH BEAINY
"Why We Should be Scared of Artificial Intelligence", The Weekly Observer, March 21, 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
Although I'm not prepared to move up my prediction of a computer passing the Turing test by 2029, the progress that has been achieved in systems like Watson should give anyone substantial confidence that the advent of Turing-level AI is close at hand. If one were to create a version of Watson that was optimized for the Turing test, it would probably come pretty close.
RAY KURZWEIL
How to Create a Mind: The Secret of Human Thought Revealed