ARTIFICIAL INTELLIGENCE QUOTES VI

quotations about artificial intelligence

• «
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• »

People understand the linear algebra behind deep learning [neural networks]. But the models it produces are less human-readable. They're machine-readable. They can retrieve very accurate results, but we can't always explain, on an individual basis, what led them to those accurate results.

CHRIS NICHOLSON

---

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

---

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

---

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

---

As machine learning is deployed in more areas of life, this issue will become more important, and will raise serious ethical concerns. The difficulty of interrogating the latest machine-learning algorithms to find out how they made a decision could compound this issue.

WILL KNIGHT

---

Artificial intelligence is only as good as the data it crunches.

JONATHAN VANIAN

---

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

---

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

Tags: computers, intelligence

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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

Tags: computers

---

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

---

• «
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• »