Garry Kasparov: Data trumps everything

‘As one Google Translate engineer put it, “when you go from 10,000 training examples to 10 billion training examples, it all starts to work. Data trumps everything.”‘ 

—Garry Kasparov, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins. 

George Johnson: Manipulating symbols

“Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn’t matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped onto the other (the computer).”

~George Johnson. 

Kristian J Hammond: Core intellectual property

“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. 

Stephen Hawking: Genie out of the bottle

“The genie is out of the bottle. We need to move forward on artificial intelligence development but we also need to be mindful of its very real dangers. I fear that AI may replace humans altogether. If people design computer viruses, someone will design AI that replicates itself. This will be a new form of life that will outperform humans.”

—Stephen Hawking. 

Mark Zukerberg: Arguing against AI

“Whenever I hear people saying AI is going to hurt people in the future I think, yeah, technology can generally always be used for good and bad and you need to be careful about how you build it … if you’re arguing against AI then you’re arguing against safer cars that aren’t going to have accidents, and you’re arguing against being able to better diagnose people when they’re sick.” —Mark Zukerberg. 

John Clark: Sauce

“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. 

Patrick Henry: Developed for specificities

“Ever noticed how DeepMind or Watson challenge and surpass human understanding? Well, these seemingly intelligent engines are not as intelligent as they appear. See, they were developed for specificities and cannot figure out anything outside of what they are programmed for.”

—PATRICK HENRY, “Just how Artificial is Artificial Intelligence?”, TrendinTech, December 16, 2016. 

Mark Woods: Can a robot sin? 

“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. 

Deepak Agarwal: Not perfect

“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. 

Colin Wood: Artificial intelligence

“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.