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AI – which is at risk our future or their’s?

​Artificial intelligence (AI, also machine intelligence, MI) is Intelligence displayed by machines, in contrast  with the natural intelligence (NI) displayed by humans and other animals. In computer science AI  research is defined as the study of “intelligent agents”: any device that perceives its environment and  takes actions that maximize its chance of success at some goal. Colloquially, the term “artificial  intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other  human minds, such as “learning” and “problem solving”. 

The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring  “intelligence” are often removed from the definition, a phenomenon known as the AI effect, leading to  the quip “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently  excluded from “artificial intelligence”, having become a routine technology. Capabilities generally  classified as AI as of 2017 include successfully understanding human speech, competing at a high level in  strategic game systems (such as chess and Go), autonomous cars, intelligent routing in content delivery  networks, military simulations, and interpreting complex data, including images and videos. 

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has  experienced several waves of optimism, followed by disappointment and the loss of funding (known as  an “AI winter”), followed by new approaches, success and renewed funding. For most of its history, AI  research has been divided into subfields that often fail to communicate with each other. 

The traditional problems (or goals) of AI research include reasoning, knowledge, planning, learning,  natural language processing, perception and the ability to move and manipulate objects. General  intelligence is among the field’s long-term goals. Approaches include statistical methods, computational  intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and  mathematical optimization, neural networks and methods based on statistics, probability and  economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy,  neuroscience, artificial psychology and many others. 

The field was founded on the claim that human intelligence “can be so precisely described that a  machine can be made to simulate it”. This raises philosophical arguments about the nature of the mind  and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been  explored by myth, fiction and philosophy since antiquity. Some people also consider AI a danger to  humanity if it progresses unabatedly.

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances  in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in  computer science. 

From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often  portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search  algorithms to IBM’s Watson to autonomous weapons.

Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform  a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the  long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may  outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would  outperform humans at nearly every cognitive task. 

Most people think AI is all about all these   internet bot, no, not at all, an example of an AI is a machine called Gideon in the film “Legend of tomorrow”, or  

USES OF ARTIFICIAL INTELLIGENCE

1. Reasoning and Problem solving.

2. Social Intelligence.

3. General Intelligence.

4. Could be used as a social identity.

5. Some use them in generating traffic to a site i.e source of income. 

APPLICATIONS

1. Artificial intelligence is breaking into the healthcare industry by assisting doctors.  According to Bloomberg Technology, Microsoft has developed AI to help doctors find the  right treatments for cancer. 

2. Advancements in AI have contributed to the growth of the automotive industry through the  creation and evolution of self-driving vehicles. As of 2016, there are over 30 companies utilizing  AI into the creation of driverless cars. A few companies involved with AI include Tesla, Google,  and Apple. 

3. Banks use artificial intelligence systems today to organize operations, maintain book-keeping,  invest in stocks, and manage properties. AI can react to changes overnight or when business is  not taking place. 

4. Artificial intelligence is used to generate intelligent behaviors primarily in non-player characters  (NPCs), often simulating human-like intelligence. 

RISKS AI POSES TO THE SOCIETY 

1. Since they are machines they have no feelings, if they get into the hand of the wrong  person, then humanity is in doom. I would compare AI with nuclear weapon, they both pose  a great deal of risk. 

2. They could be used in cyber-crime, like spamming a website. 

3. It could also pose a great deal of danger to man in the sense that its more accurate,  retentive, and also perfect unlike its creator – man.

So I would say like everything that has benefits, so does it has its own advantages. The question now is does those advantages worth risking?

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