ARTIFICIAL INTELLIGENCE QUOTES IV

quotations about artificial intelligence

Artificial Intelligence quote

Artificial intelligence may well help solve the most complex problems humankind faces, like curing cancer and climate change -- but in the near term, it is also likely to empower surveillance, erode privacy and turbocharge telemarketers.

JEFF GOODELL

"Inside the Artificial Intelligence Revolution: A Special Report, Pt. 1", Rolling Stone, February 29, 2016


The AI of the past used brute-force computing to analyze data and present them in a way that seemed human. The programmer supplied the intelligence in the form of decision trees and algorithms. Imagine that you were trying to build a machine that could play tic-tac-toe. You would give it specific rules on what move to make, and it would follow them. Today's AI uses machine learning in which you give it examples of previous games and let it learn from the examples. The computer is taught what to learn and how to learn and makes its decisions. What's more, the new AIs are modeling the human mind itself using techniques similar to our learning processes.

VIVEK WADHWA

"After many years, artificial intelligence is finally here", Newsday, July 4, 2016


One reason I'm not worried about the possibility that we will soon make machines that are smarter than us, is that we haven't managed to make machines until now that are smart at all. Artificial intelligence isn't synthetic intelligence: It's pseudo-intelligence.

ALVA NOË

"Artificial Intelligence, Really, Is Pseudo-Intelligence", NPR, Nov. 21, 2014


Although we don't know much about how the human brain works, we know a bit more about how it got to this state: natural selection. So some people are trying to artificially replicate natural selection with machines -- although it won't take millions of years, because it's less random. It's called evolutionary computation, or genetic algorithms, and it sets up machines to do certain tasks; when one is successful through trial and error, it's combined with other machines that are successful. But it's an iterative process, which presents a problem: We don't know how long it will take to create intelligence equal to our own.

VASCO PEDRO

"Artificial intelligence and language", Tech Crunch, March 12, 2016


AI skeptics are unconvincing when they say it's an unsolvable technological problem, and that there's something intrinsically unique about biological brains. Our brains are biological machines, but they're machines nonetheless; they exist in the real world and adhere to the basic laws of physics. There's nothing unknowable about them.

GEORGE DVORSKY

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


Computers will overtake humans with AI at some [point] within the next 100 years. When that happens, we need to make sure the computers have goals aligned with ours.

STEPHEN HAWKING

remarks at Zeitgeist 2015 conference in London

Tags: Stephen Hawking


The popular definition of artificial intelligence research means designing computers that think as people do, and who needs that? There is no commercial reason to duplicate human thought because there is no market for electronic people, although it might be nice if everyone could have a maid and butler. There are plenty of organic people, and computer vendors can't compete with the modern low-cost technology used in making people.

WILLIAM A. TAYLOR

What Every Engineer Should Know about Artificial Intelligence

Tags: William A. Taylor


The field of Artificial Intelligence is set to conquer most of the human disciplines; from art and literature to commerce and sociology; from computational biology and decision analysis to games and puzzles.

ANAND KRISH

"Indian Artificial Intelligence Landscape 2017", Fossbytes, February 17, 2017


In activities other than purely logical thought, our minds function much faster than any computer yet devised.

DANIEL CREVIER

AI: The Tumultuous History of the Search for Artificial Intelligence

Tags: Daniel Crevier, mind


Machines will be singing the song, 'Anything you can do, I can do better; I can do anything better than you'.

NILS NILSSON

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


It's clear that A.I. is getting increasingly sophisticated at doing what humans do--but more efficiently and cheaply. What's less clear is whether those gains trump the huge implications it would have for the future of work.

KEVIN J. RYAN

"Will You Lose Your Job to Artificial Intelligence? Here's What the Experts Really Think", Inc., January 10, 2017


Software is eating the world, but AI is going to eat software.

JENSEN HUANG

"Nvidia CEO: Software Is Eating the World", MIT Technology Review, May 12, 2017


Artificial intelligence is complex, but creating it is relatively simple. Plop it in a virtual environment, give it a goal, and let it fail and fail and fail until it figures out how to complete the task at hand.

DAN SEITZ

"Minecraft Is Helping To Build The Next Generation Of Artificial Intelligence", Uproxx, March 15, 2016


The implications of AI are still being worked out as technology advances at a dizzying speed. Christians, like everyone else, are asking questions about what this means. But one thing people of faith want to affirm most strongly is that technology has to serve the good of humanity -- all of it, not just the privileged few. Intelligence -- whether artificial or not -- which is divorced from a vision of the flourishing of all humankind is contrary to God's vision for humanity. We have the opportunity to create machines that can learn to do things without us, but we also have the opportunity to shape that learning in a way that blesses the world rather than harms it.

MARK WOODS

"Can A Robot Sin? How Artificial Intelligence Is Challenging Christian Ethics", Christian Today, January 12, 2017


Artificial intelligence collectively is a bunch of technologies that we run into. So, you'll hear "AI." You'll hear "machine learning." You'll hear "deep learning," sometimes "deep belief." "Neuromorphic computing" is something that you might run into, or "neural networks;" "natural language processing;" "inference algorithms;" "recommendation engines." All of these fall into that category.

ANTHONY SCRIFFIGNANO

"No hype, just fact: Artificial intelligence in simple business terms", ZDNet, February 13, 2017


The thing to realize about artificial intelligence and machine learning algorithms is they're not perfect. The question is which errors are more costly than others. When you're constructing an algorithm, you tell them this error is okay, but not that costly. But if you make this error, then it's a million times more costly than the other error. The machines will try not to make that error more frequently than the others. The programmer himself has to encapsulate that information when they're creating that program for the machines to do the right job.

DEEPAK AGARWAL

"At LinkedIn, artificial intelligence is like oxygen", Mercury News, January 6, 2017


The history of our relationship with technology is simple: we purchased machines and devices that we expected to fulfill a certain need. Be it a computer for sending emails, an e-reader for reading books on the go, or a smartwatch for helping us stay on top of notifications, we interact with technology with predictable reciprocity. This relationship, however, is starting to shift. As devices become artificially intelligent, it seems we've reached a critical new phase where we are striving to please our gadgets.

MOOV MENG LI

"Has Artificial Intelligence Outsmarted Our Emotions?", Wired, Nov. 19, 2014


If humankind wants to survive the rise of artificial intelligence, we need to embrace the machines and become a melded cyborg organism.

DYANI SABIN

"Elon Musk Says: Deep Artificial Intelligence Is a Dangerous Situation", Inverse, February 13, 2017


Artificial intelligence is on its way to ubiquity, and we're not ready for it. Already it has entered the landscape of the physical world in delightful and dangerous new ways, with Google leading the charge in many different industries. Yet policymakers seem trapped in the regulatory frameworks of the 20th century. In two of the most prominent A.I.-linked industries, autonomous vehicles and drones, current legal regimes are already insufficient. Yet both pose serious ethical quandaries, as well as social and economic challenges, that can only be met by Washington.

COLIN MCCORMICK

"Be Like Lee", Slate, March 22, 2016


As a global futurist and futurephile, one of the things that excites me about artificial intelligence is the death of procrastination -- anything 'left brained' that we avoided and delayed doing, like taxes, filing, travel expense coding, receipt management, and updating our calendars will be procrastinated on no longer. That in and of itself should sell you on the virtue of AI -- unless you of course derive a lot of pleasure from these activities, in which case I urge you to upgrade and diversify your thinking.

ANDERS SORMAN-NILSSON

"Will Artificial Intelligence Take Our Jobs? We Asked A Futurist", Huffington Post, February 16, 2017