Artificial Intelligence (Part-II)- Artificial Intelligence or Automated Machines?

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Artificial Intelligence or Automated Machines? Blessing or Curse to Our Mankind?

Now we continue with the second part of our blog on artificial intelligence. Those who have missed our first blog can read it from Here. It will help to connect with this second part of the blog discussing artificial intelligence or automated machines is what we are developing and is it a blessing or curse to mankind.

Artificial Intelligence can be a Good Problem Solver

In early days, researchers developed algorithms that burlesqued step-by-step reasoning that humans required when they solve puzzles or make logical deductions. In the late 1980s and 1990s AI research had built procedures for business with uncertain or incomplete data, employing concepts from probability and economics. It times of crisis, these algorithms proved wrong, since they are insufficient for solving larger critical and complicated problems because they experienced a combinatoric explosion. They became exponentially slower as the problems grew larger.  In fact, even humans barely use the step-by-step contemplation that early AI research was able to model. They solve most of their problems using fast, perceptive judgments.

Artificial Intelligence may act as a Social Intelligence

During the long terms and greater execution of process, social skills and an analyzing the  human emotion and game theory would be corners stone to a social agent. Being efficient to predict the actions of others by understanding their motives and emotional states would permit an agent to make better decisions. Some computer systems caricaturist human emotion and expressions to appear more sensitive to the emotional dynamics of human interaction, or to otherwise expedite human–computer interaction. Similarly, some virtual assistants are developed for doing conversations or even to chitchat amusingly; this tends to give ignorant users an impractical  or impossible conception of how knowledgeable existing computer agents actually are.  Medium successes related to effective computing include written text sentiment analysis and, more recently, multi-modal affect analysis (see multi-modal sentiment analysis), wherein AI classifies the affects advertised by a videotaped subject.

Building Motions in Artificially Intelligent Robots

In the year 1988,  Moravec's paradox concluded that low-level sensory motor dexterity that humans take for granted are, counter intuitively, difficult to build and programmed into a robot; the paradox is named after Hans Moravec. It is easy to make computers exhibit adult level performing systems on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility. This is the parameters to the fact that, unlike checkers, physical dexterity has been a direct target of natural selection for millions of years. Motion planning is the method of breaking down a movement task into "anthropophagite" such as individual joint movements. Such movement often affects compliant motion, a method where movement requires maintaining physical contact with an object. Modern robotic arms and other industrial robots, widely used in modern  business, can learn from involvement how to move efficiently despite the presence of friction and gear slippage. A modern mobile robot, when given a small, static, and visible environment, can easily determine its location and map its environment; however, dynamic environments, such as (in endoscopy) the interior of a patient's breathing body, pose a greater challenge.

Artificial Intelligence can be Threatening

As per researchers they agreed that a super imaginative AI is unlikely to illustrate human emotions like loving someone hate someone or getting angry with someone, and that there is no reason to expect AI to become intentionally philanthropic or malignant. As per experts AI may become dangerous and there are two scenarios:

1. The AI is Programmed to do something Disastrous

Automatically operated tools are artificial intelligence systems that are developed to kill. In the hands of the terrorists, these weapons could easily cause mass destruction or even they can destruct a part of the nation. Moreover, an AI arms race could recklessly cause to an AI war that also outputs to destruction of human race. To avoid being circumvent by the enemy, these tools would be developed to be extremely difficult to simply “turn off,” so humans could apparently lose control of such a footing. This threat is one that’s present even with narrow Automated Systems or AI, but grows as levels of AI intelligence and self-determination increase.

2. The Artificial Intelligence is developed to do something Fruitful, but it develops a Destructive Method for achieving our target

This is strikingly difficult for us to achieve and it would be too much dangerous when we rely on AI to fulfill this type of goals. If we operate an obedient intelligent car to take you to the airport as early as possible, it might get you there drive away by helicopters and covered in regurgitate, doing not what you wanted but literally what you asked for. If a super brained and automated system is encumbered with an aggressive or determined geoengineering project, it might bring out catastrophe with our ecosystem as a side effect, and view human attempts to block it as a risk to be met.

Continued in the next blog...