The vision of the brain as a computer, which I still champion, is changing so fast. The brain's a computer, but it's so different from any computer that you're used to. It's not like your desktop or your laptop at all, and it's not like your iPhone except in some ways. It's a much more interesting phenomenon. What Turing gave us for the first time (and without Turing you just couldn't do any of this) is a way of thinking about in a disciplined way and taking seriously phenomena that have, as I like to say, trillions of moving parts. Until late 20th century, nobody knew how to take seriously a machine with a trillion moving parts. It's just mind-boggling.
DANIEL C. DENNETT is University Professor, Professor of Philosophy, and Co-Director of the Center for Cognitive Studies at Tufts University. His books include Consciousness Explained; Darwin's Dangerous Idea; Kinds of Minds; Freedom Evolves; and Breaking the Spell. Daniel C. Dennett's Edge Bio Page
The significance of the guy holding out his arm, dipping at the wrist, is that that's a gesture that magicians use to imitate the cassowary. The cassowary is New Guinea's biggest bird. It's flightless. It's like a small ostrich. Weighs up to 100 pounds. And it has razor-sharp legs that can disembowel a man. The sign of the cassowary, if you hold out your arm like this, that's the cassowary rolling its head and dipping its head when it's ready to charge. So magicians will imitate a cassowary in order to show their power. Because the cassowary's big and powerful. Magicians identify with the cassowary. They intimidate people.
JARED DIAMOND is Professor of Geography at the University of California, Los Angeles. His latest book, published today, is The World Until Yesterday: What Can We Learn from Traditional Societies? His other books include Collapse: How Societies Choose to Fail or Succeed, and the Pulitzer Prize-winning author of the widely acclaimed Guns, Germs, and Steel: the Fates of Human Societies, which is the winner of Britain's 1998 Rhone-Poulenc Science Book Prize.
The question becomes, is it possible to set up a system for learning from history that's not simply programmed to avoid the most recent mistake in a very simple, mechanistic fashion? Is it possible to set up a system for learning from history that actually learns in our sophisticated way that manages to bring down both false positive and false negatives to some degree? That's a big question mark.
Nobody has really systematically addressed that question until IARPA, the Intelligence Advanced Research Projects Agency, sponsored this particular project, which is very, very ambitious in scale. It's an attempt to address the question of whether you can push political forecasting closer to what philosophers might call an optimal forecasting frontier. That an optimal forecasting frontier is a frontier along which you just can't get any better.
PHILIP E. TETLOCK is Annenberg University Professor at the University of Pennsylvania (School of Arts and Sciences and Wharton School). He is author of Expert Political Judgment: How Good Is It? How Can We Know?
As all the people and computers on our planet get more and more closely connected, it's becoming increasingly useful to think of all the people and computers on the planet as a kind of global brain.
THOMAS W. MALONE is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. He was also the founding director of the MIT Center for Coordination Science and one of the two founding co-directors of the MIT Initiative on "Inventing the Organizations of the 21st Century".
Make it easy, make it personal, make it salient. It's not rocket science, it's somewhere between common sense and psychology 101, and that goes a long way.
RICHARD H. THALER is the father of behavioral economics the study of how thinking and emotions affect individual economic decisions and the behavior of markets. Thaler is Director of the Center for Decision Research at the University of Chicago Graduate School of Business. He is coauthor (with Cass Sunstein) of Nudge: Improving Decisions About Health, Wealth, and Happiness.
Whatever anybody says, I feel that the hard problem of consciousness is still very hard, and to try and rest your ethical case on proving something that has baffled people for years seems to me to be not good for animals. Much, much better to say let's go for something tangible, something we can measure. Are the animals healthy, do they have what they want? Then if you can show that, then that's a much, much better basis for making your decisions.
MARIAN STAMP DAWKINS is professor of animal behaviour at the University of Oxford, where she heads the Animal Behaviour Research Group. She is the author of Why Animals Matter.
There's a notorious problem with defining information within physics, namely that on the one hand information is purely abstract, and the original theory of computation as developed by Alan Turing and others regarded computers and the information they manipulate purely abstractly as mathematical objects. Many mathematicians to this day don't realize that information is physical and that there is no such thing as an abstract computer. Only a physical object can compute things.
I think it's important to regard science not as an enterprise for the purpose of making predictions, but as an enterprise for the purpose of discovering what the world is really like, what is really there, how it behaves and why.
DAVID DEUTSCH is a Physicist at the University of Oxford. His research in quantum physics has been influential and highly acclaimed. He is the author of The Beginning of Infinity and The Fabric of Reality.
There are many other features in the head that help us become exceptional long-distance walkers and runners. I became obsessed with the idea that humans evolved to run long distances, evolved to walk long distances, basically evolved to use our bodies as athletes. These traces are there in our heads along with those brains.
DANIEL LIEBERMAN is Professor of Human Evolutionary Biology at Harvard University. His research combines experimental biology and paleontology to ask why and how the human body looks and functions the way it does. He is especially interested in the origin of bipedal walking, the biology and evolution of endurance running, and the evolution of the human head. He also loves to run.
"If we're going to get science policy right, it's really important for us to study the economic benefit of open access and not accept the arguments of incumbents. Existing media companies claim that they need ever stronger and longer copyright protection and new, draconian laws to protect them, and meanwhile, new free ecosystems, like the Web, have actually led to enormous wealth creation and enormous new opportunities for social value. And yes, they did in fact lead in some cases to the destruction of incumbents, but that's the kind of creative destruction that we should celebrate in the economy. We have to accept that, particularly in the area of science, there's an incredible opportunity for open access to enable new business models."
"One question that fascinated me in the last two years is, can we ever use data to control systems? Could we go as far as, not only describe and quantify and mathematically formulate and perhaps predict the behavior of a system, but could you use this knowledge to be able to control a complex system, to control a social system, to control an economic system?"