AI, Algorithm, Automata, Biological Computation, Code, Cybernetics, Deep Learning, Emergence, Man/Machine, Neural Networks, Robots, Science, Social intelligence, Society

Can a robot be too nice?

“Designing artificial entities perfectly groomed to meet our emotional needs has an obvious appeal, like creating the exact right person for a job from thin air. But it’s also not hard to imagine the problems that might arise in a world where we’re constantly dealing with robots calibrated to treat us, on an interpersonal level, exactly the way we want. We might start to prefer the company of robots to that of other, less perfectly optimized humans. We might react against them, hungry for some of the normal friction of human relations. As Lanier worried, we might start to see the lines blur, and become convinced that machines—which in some ways are vastly inferior to us, and in other ways vastly superior—are actually our equals.”

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AI, Algorithm, Biometrics, Brain, Capitalism, Cybernetics, Economy, Education, Emergence, Ethics, Man/Machine, Robots, Science, Social intelligence, Society

Will You Lose Your Job To a Robot?

“The biggest exception will be jobs that depend upon empathy as a core capacity — schoolteacher, personal service worker, nurse. These jobs are often those traditionally performed by women. One of the bigger social questions of the mid-late 2020s will be the role of men in this world.” — Jamais Cascio, technology writer and futurist

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AI, Animals, Brain, Emergence, Ethics, philosophy, Religion, Robots, Science, Society

Buddhist perspectives on AI

“From the viewpoint of Buddhism, all life is emergent, entities functioning at a capacity greater than the sum of their parts. There is no special qualifier that separates any form of intelligence from another (note that even consciousness is on the list of things that we aren’t.”. This means that an intelligence inside of a robot body, a computer, or existing on the Internet would be just as worthy of being considered “alive” as a squirrel, a human, or a bacteria. Further, Buddhism accepts the existence of life that does not have a physical body. In the Buddhist mythology, beings that exist in realms without physical bodies are described and treated the same as those with physical bodies. Although this ethic is ascribed to mythical beings, if we begin to see actual beings that exist in “formless realms”, most Buddhists would likely see no problem accepting them as living. In Buddhism, a computer intelligence would be viewed by most as a new form of life, but one equally possessed of the heaps and equally capable of emergent behavior and enlightenment. The Dalai Lama, Thich Nhat Hanh, and several other high profile Buddhist thinkers have already spoken in support of AI as a living being.”

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AI, Algorithm, Automata, Biological Computation, Brain, Code, Cybernetics, Deep Learning, Logic, Man/Machine, Mathematics, Neural Networks, Science, Social intelligence

Neural Networks and Deep Learning

“Will we understand how such intelligent networks work? Perhaps the networks will be opaque to us, with weights and biases we don’t understand, because they’ve been learned automatically. In the early days of AI research people hoped that the effort to build an AI would also help us understand the principles behind intelligence and, maybe, the functioning of the human brain. But perhaps the outcome will be that we end up understanding neither the brain nor how artificial intelligence works!”

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AI, Algorithm, Biological Computation, Brain, Code, Cybernetics, History, Interface, Logic, Man/Machine, Mathematics, Neural Networks, PDF, Science, Social intelligence, Society

Computing Machinery and Intelligence : Turing, A.M. (1950).

The fact that Babbage’s Analytical Engine was to be entirely mechanical will help us to rid ourselves of a superstition. Importance is often attached to the fact that modern digital computers are electrical, and that the nervous system also is electrical. Since Babbage’s machine was not electrical, and since all digital computers are in a sense equivalent, we see that this use of electricity cannot be of theoretical importance. Of course electricity usually comes in where fast signalling is concerned, so that it is not surprising that we find it in both these connections. In the nervous system chemical phenomena are at least as important as electrical. In certain computers the storage system is mainly acoustic. The feature of using electricity is thus seen to be only a very superficial similarity. If we wish to find such similarities we should took rather for mathematical analogies of function.

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