quotations about artificial intelligence
As soon as it works, no-one calls it AI anymore.
JOHN MCCARTHY
attributed, Superintelligence: Paths, Dangers, Strategies
If computing power maps to intelligence -- a big "if," some have argued -- we've only so far built technology on par with an insect brain. In a few years, maybe we'll overtake a mouse brain. Around 2025, some predictions go, we might have a computer that's analogous to a human brain: a mind cast in silicon. After that, things could get weird. Because there's no reason to think artificial intelligence wouldn't surpass human intelligence, and likely very quickly. That superintelligence could arise within days, learning in ways far beyond that of humans.
RICK PAULAS
"How humans will lose control of artificial intelligence", The Week Magazine, April 2, 2017
AI will likely lead to disruption in many areas of the global economy and workforce, but we should also look at and talk about the multitude of ways it's going to change small, everyday decisions that feel inconsequential until they're no longer there to make.
COLLIN SIMONDS & JACQUELYN ETHREDGE
"Why Artificial Intelligence Will Widen the Wealth Gap", Huffington Post, January 15, 2016
That's one inherent limitation of human-like AI: Before you can program a computer, you have to understand how it's done yourself. And the human mind remains a mystery.
MIKE CIOFFI
"Is road to AI a roundabout?", Tire Business, June 22, 2018
Sometimes what happens as a scientist is that you're invested in your work and don't necessarily realize the implications of what you're doing. So I think it's important for public safety for governments to keep a close eye on artificial intelligence and make sure that it does not represent a danger to the public.
ELON MUSK
"Elon Musk Says: Deep Artificial Intelligence Is a Dangerous Situation", Inverse, February 13, 2017
The arrival of [artificial] superintelligence, which could happen from two (unlikely) to seven (very likely) or more decades hence, will represent a technological singularity, and the most significant event in human history bar none. Being the second-smartest species on the planet is an uncomfortable position, as chimpanzees could tell you if they understood how precarious their position is. Working out how to survive this transition is the most important challenge facing humanity in this and the next generation.
CALUM CHACE
"Artificial Intelligence: The Internet of Things Really Is On Its Way", Big Issue, January 27, 2016
A superintelligent AI may bypass consciousness altogether. In humans, consciousness is correlated with novel learning tasks that require concentration, and when a thought is under the spotlight of our attention, it is processed in a slow, sequential manner. Only a very small percentage of our mental processing is conscious at any given time. A superintelligence would surpass expert-level knowledge in every domain, with rapid-fire computations ranging over vast databases that could encompass the entire internet. It may not need the very mental faculties that are associated with conscious experience in humans. Consciousness could be outmoded.
SUSAN SCHNEIDER
"The Problem of AI Consciousness", Kurzweil Accelerating Intelligence, March 18, 2016
If silicon cannot be the basis for consciousness, then superintelligent machines -- machines that may outmode us or even supplant us -- may exhibit superior intelligence, but they will lack inner experience.
SUSAN SCHNEIDER
"The Problem of AI Consciousness", Kurzweil Accelerating Intelligence, March 18, 2016
AI dystopias project a parochial alpha-male psychology onto the concept of intelligence. They assume that superhumanly intelligent robots would develop goals like deposing their masters or taking over the world.
STEVEN PINKER
"What Do You Think About Machines That Think"
Every serious technology company now has an Artificial Intelligence team in place. These companies are investing millions into intelligent systems for situation assessment, prediction analysis, learning-based recognition systems, conversational interfaces, and recommendation engines. Companies such as Google, Facebook, and Amazon aren't just employing AI, but have made it a central part of their core intellectual property.
KRISTIAN J. HAMMOND
"Please Don't Hire a Chief Artificial Intelligence Officer", Harvard Business Review, March 29, 2017
How hard is it to build an intelligent machine? I don't think it's so hard, but that's my opinion, and I've written two books on how I think one should do it. The basic idea I promote is that you mustn't look for a magic bullet. You mustn't look for one wonderful way to solve all problems. Instead you want to look for 20 or 30 ways to solve different kinds of problems. And to build some kind of higher administrative device that figures out what kind of problem you have and what method to use.
MARVIN MINSKY
"Artificial Intelligence Pioneer", NOVA, Jan. 27, 2011
As we teach AI how humans behave, we improve our own understanding of human biases and our ability to relate to each other. It's ironic that teaching technology to be more effective at relating to humans will force us to be more effective ourselves.
JESUS MANTAS
"Why Artificial Intelligence Is Learning Emotional Intelligence", Eyewitness News, September 13, 2018
Artificial intelligence (AI) is currently a technology still percolating in the depths of IT departments and the fever dreams of industry pundits, but it may only be a matter of a couple of years that it bursts across many day-to-day business processes.
JOE MCKENDRICK
"Artificial Intelligence Will Make Its Mark Within Next 3 Years", Forbes, March 30, 2017
As artificial intelligence (AI) catches up with human intelligence and machines become more and more autonomous, roboticists are increasingly asking about ethics. If a machine is capable of making a decision, what are the moral principles that guide that decision? Can a robot have a conscience? And if so, how is that conscience to be designed and developed? And on the further fringes of the debate, can a robot sin?
MARK WOODS
"Can A Robot Sin? How Artificial Intelligence Is Challenging Christian Ethics", Christian Today, January 12, 2017
A lot of what AI is being used for today only scratches the surface of what can be done. It will become so ubiquitous that we won't even call it AI anymore.
BABAK HODJAT
"AI Meets ROI: Where Artificial Intelligence Is Already Smart Business", Investor's Business Daily, March 10, 2016
We call ourselves Homo sapiens--man the wise--because our intelligence is so important to us. For thousands of years, we have tried to understand how we think: that is, how a mere handful of matter can perceive, understand, predict, and manipulate a world far larger and more complicated than itself. The field of artificial intelligence, or AI, goes further still: it attempts not just to understand but also to build intelligent entities.
STUART J. RUSSELL
Artificial Intelligence: A Modern Approach
The fuel you need for AI is just pure data.
NICK POLSON
"The New Form of Intelligence You'll Need", U.S. News, June 22, 2018
Once upon a time ... the only autonomous intelligences we humans knew of were us humans. We thought then that if humankind ever devised another intelligence that it would be the result of a huge project ... a great mass of silicon and ancient transistors and chips and circuit boards ... a machine with lots of networking circuits, in other words, aping--if you will pardon the expression--the human brain in form and function. Of course, AIs did not evolve that way. They sort of slipped into existence when we humans were looking the other way.
DAN SIMMONS
The Rise of Endymion
I'm optimistic that we can create a great future with AI, but it's not going to happen automatically. We have to win this race between the growing power of the technology, and the growing wisdom with which we manage it.
MAX TEGMARK
"Life 3.0 - Being Human in the Age of Artificial Intelligence", Future of Life Institute, August 29, 2017
The field of artificial intelligence is historically known for overpromising -- decades of hyped results followed by harsh corrections in funding and expectations as researchers crash into major technological roadblocks. This time is different. The past five years have seen a proper AI revolution, with big data and exponential advances in computer hardware making machine learning algorithms really useful on a really big scale.
JOSS FONG
"How smart is today's artificial intelligence?", Vox, December 19, 2017