Russian What is AI? Artificial intelligence today is properly known as narrow AI or weak AIin that it is designed to perform a narrow task e.
Miller Artificial Intelligence is definitely a touchy subject for the human race. The very mention of the term conjures up images of apocalyptic societies where intelligent super-computers have either enslaved the human race or eradicated the inferior species altogether.
For some, the connotation of "artificial intelligence" attacks the very core of the human spirit, the pride of our race. The very thought of an "intelligent" computer that is on par, or more likely superior, to our own brain sends chills down the spine.
Are these concerns realistic? Some proponents of artificial intelligence insist that such concerns are the result of semantic misunderstanding.
Artificial intelligence does not equate to artificial life, they claim. AI refers to only a computer that is able to "seem" intelligent by analyzing data and producing a response.
One example is "smart agents" that ask you certain questions and then return recommendations based on your answers, all within a friendly user-friendly environment. Other examples include computers that can "learn" from mistakes in a limited way, such as the IBM chess program that beat Kasparov.
Other supporters of AI take a more extreme view.
Often referred to as a "learning computer," they describe a computer that can not only react to input, but learn from it. The computer is able to interact with its environment, make mistakes, and re-write its code to handle the resulting circumstances.
This view brings the computer closer to being compared with a human; the current computer is compared to a small infant that starts out with a certain set amount of information or instruction, and then "grows" into a more intelligent, rational adult.
The computer is now able to analyze, reason, and, given a situation, make an "intelligent" decision based on past experiences. Such a computer would be desirable for formulating and evaluating scenarios incredibly quickly to advise their human counterparts or, in some cases, implement the decision themselves.
We see a computer of this type in the movie Wargames, where it is used to simulate military strategy. Here, however, is where some lines begin to be crossed. This stance is radically different than the first view, for now the computer is much more than a tool that assists us in our daily activities.
In effect, our own existence is reduced to being that of simply a complexly evolved computer. This implies that we are only useful until a faster, more efficient machine comes along, and this frightens and offends many people, giving rise to the works of fiction talked about earlier.
Where is the point, then, where we switch from futuristic probability to science fiction? The beginning of the AI spectrum, one can hardly dispute the possibility of a computer that can seem artificially intelligent in a limited way, because the early prototypes of such computers already exist.
The learning computer raises more question marks, but since the basic premise is still only a computer analyzing data and making decisions, the concept is not all that unthinkable to most people. It is the last assertion that creates waves of animosity between those who claim to be pro-artificial intelligence and those who, by contrast, are labled as anti-AI.
Many people, such as myself, who are considered "anti-AI", do not deny the possibility or even plausibility of basic artificial intelligence such as described in the first two scenarios.
However, the notion of a computer "evolving" to a level on par or surpassing humans is quite hard to swallow.
When we begin to talk about artificial intelligence on this level, the meaning of the term changes dramatically, and the issue raises some serious objections. Basically, it comes down to the question of the differences between computers and humans.
To truly be considered intelligent on the level of humans, a "being" must first be able to take in all the input surrounding it, evaluate it, and therefor make an "intelligent" decision. Obviously, a computer is quite good at doing this, but let us look at the nature of the input.
Sure, a computer can handle numbers and compare results with pre-defined or even re-defined standards of right and wrong. The problem arises when such factors as emotions are introduced.szczys writes: Artificial Intelligence is always just around the corner, right?We often see reports that promise near breakthroughs, but time and again they don't come to fruition.
The cause of this may be that we're trying to solve the wrong problem.
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Mar 23, · Dissemination. In this final step, we give our final written analysis to a policymaker, the same policymaker who started the cycle.
After reading the final analysis and learning the answer to the original question, the policymaker may come back with more questions. This is the first of a multi-part series explaining the fundamentals of deep learning by long-time tech journalist Michael Copeland.
Artificial intelligence is the future.