ARTIFICIAL INTELLIGENCE QUOTES IV

quotations about artificial intelligence

Artificial Intelligence quote

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


Just what is artificial intelligence anyway? Definitions differ depending on who you ask, but in the broadest sense it's any kind of intelligence that has been artificially created. Obviously.

DAVID NIELD

"The AI glossary: 5 artificial intelligence terms you need to know", TechRadar, January 12, 2018


Any kind of artificial intelligence clearly needs to possess great knowledge. But if we are going to deploy AI agents widely in society at large -- on our highways, in our nursing homes and schools, in our businesses and governments -- we will need machines to be wise as well as smart.

GILLIAN HADFIELD

"Safe artificial intelligence requires cultural intelligence", Tech Crunch, September 11, 2018


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


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


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


AI is only as good as the data that we can feed it.

BYRON REESE

"The Power of Artificial Intelligence is to Make Better Decisions", Huffington Post, January 28, 2017


If you're scared of artificial intelligence, you should know it's already everywhere.

ROB VERGER

Popular Science, June 19, 2018


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


Data is every company's secret weapon, the new oil, the gasoline that powers algorithms. Use whatever metaphor you like, but as a company manager, if data, machine learning and artificial intelligence are not at the top of your agenda, then you should be removed of your position. We still don't know who the data will belong to, we don't know if artificial intelligence will be proprietary or open, but we do know that now is the time to stop being afraid of artificial intelligence and to get working on understanding its impact.

ENRIQUE DANS

"Right Now, Artificial Intelligence Is The Only Thing That Matters", Forbes, July 13, 2016


The techniques of artificial intelligence are to the mind what bureaucracy is to human social interaction.

TERRY WINOGRAD

"Thinking Machines: Can there be? Are we?"

Tags: mind, bureaucracy


I'm hoping the reader can see that artificial intelligence is better understood as a belief system than as a technology.

JARON LANIER

"One Half of a Manifesto", The New Humanists: Science at the Edge


In a way, AI is both closer and farther off than we imagine. AI is closer to being able to do more powerful things than most people expect -- driving cars, curing diseases, discovering planets, understanding media. Those will each have a great impact on the world, but we're still figuring out what real intelligence is.

MARK ZUCKERBERG

"Building Jarvis", Facebook, December 19, 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


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


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


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


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


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 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