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I don t believe this potential of superior AI is being overlooked by the nations of the world. It s quite possible that the next Manhattan Project undertaken by (hopefully) this country will be for creating superior AI. We as a race will take no comfort in appearing as intelligent as a chimpanzee to a machine. Science fiction writers have long written on competent AI machines running amok: for instance, the computer HAL in Arthur C. Clarke s 2001, Colossus the Corbin Project, and the main computer in Terminator I and Terminator II. So to all the future AI programmers out there reading this book, I have an important message: Don t forget that off switch!
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Advances in biotechnology will soon allow us to alter our own genetics. With this power it becomes possible to enhance our brain to increase our own intelligence. While possible, it opens up the human race to unforeseeable repercussions of gene altering in subsequent generations that may be catastrophic. This makes generating superior intelligence in machines much safer, at least for the time being.
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Neural networks have been overhyped since their inception. So it s easy to dismiss my remarks concerning AI, AL, and neural networks as just more of the same, as people have been doing for years. And it is true that people have predicted the emergence of humanlike intelligence in machines. If progress continues as rapidly as it has in the past 50 years, I believe human levels of intelligence in machines will be achieved within 50 years.
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I have discussed neural networks without defining them. Here is their definition. Neural networks are artificial systems (hardware and software) that function and learn based upon models derived from studying the biological systems of the human brain. Networks may be implemented in either software/operating systems or hardware. In mimicking the biological systems of the brain, neural networks have taken strides in building the sensory foundations needed for AI, such as machine vision, voice recognition, and speech.
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Neural networks can be trained to perform visual recognition. They can learn to read or perform quality control by visual analysis of parts. One such example is Papnet, discussed in Chap. 1. Other networks can be taught to respond to verbal commands (speech recognition) and generate speech. Statistical nets can predict the future behavior or probability of complex nonlinear systems based on historical examples. These networks have been used to predict oil prices, monitor aircraft electronics, and forecast the weather. Networks have also successfully been employed to evaluate the stock market, mortgage loan applicants, and life insurance contracts better than standard rule-based expert-system programs.
What is artificial intelligence
This is a legitimate question. We most certainly will develop neural networks that are intelligent before we develop nets that become conscious. So in attempting to create neural networks that are intelligent or demonstrate intelligence, what criteria should one use to determine if this goal has been achieved Alan Turing, a British mathematician, devised an interesting procedural test that is generally accepted as a valid way to determine if a machine has intelligence. The test is conducted as follows: A person and the machine hold a conversation by typing messages to one another via a teletype. If the machine can carry on a conversation without the person being able to determine whether a machine or person exists at the other teletype, the machine can be classified as intelligent. This is called the Turing test and is one criteria used to determine AI. Although the Turing test is well accepted, it isn t a definitive test for AI. There are a number of completely dumb language processing programs that come close to passing the Turing test. The most famous program is named ELIZA, developed by Joseph Weizenbaum at the Massachusetts Institute of Technology (MIT). ELIZA simulates a psychologist, and you are able to conduct a conversation with ELIZA. For instance, if you typed to ELIZA that you missed your father, ELIZA might respond with Why do you miss your father or Tell me more about your father. These responses may lead you to believe that ELIZA understands what you have said. It doesn t. The responses are clever programming tricks constructed from your statements. Therefore, if we like, we could do away with the Turing test and consider a different criterion. Perhaps consciousness or selfawareness would be a better signpost of intelligence. A self-aware
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