WHAT IS MISSING TO TODAYS AI STILL TO BE CALLED HUMAN LEVEL INTELLIGENCE?

Humans are different from Artificial Intelligence machine physically in a sense that human race usually experiences the same physical features while the machines takes several forms and shapes. The trans-humanist vision analysis ex- hibits us to believe that brains are principally the computers. AI reports are the silicon based machines, which was con- trolled by using the algorithm that reinforces entire internet business. AI believes that once the computers have adequate advanced algorithms, then they will be capable to replicate and enhance the human mind.

The tests which exhibits how much AI is distinct from the human intellectual are as follows Turing test; in order to evaluate on what intelligence means and on how the machine intelligence is different than the human intelligence, the Turing test strongly provide the essential insights to the AI field, which emphasis on how the machine simulates the human thinking. The algorithmic aspects of AI tools should pass the Turning Test.

This algorithm will not essentially result in the AGI but may also lean towards applied artificial intelligence. The algorithm tuned through Turing process can also significantly define and passed it. Eugene Goostman Test; Goostman tests the Turing test and concluded that it has 33% fooling, which intended him to propose test that should rely on AI in order to efficiently solve the particular tasks that was quite near to AGI. He also concluded that it is not possible for AI machines to be much efficient than that of human because their always acts human actors to work the AI machine.

IMPORTANCE OF ARTIFICIAL INTELLIGENCE

Artificial Intelligence will revolutionize the way in which different companies across compete and grow across the world by representing a new production factor that can drive business profitability.

In order to realize the opportunity of AI, most the companies in the world are already developing actively in various Artificial Intelligence strategies. In addition, they should focus on developing responsible AI systems aligned with ethical and moral values that lead to positive feedback and empower people to do what they know best such as innovation. With the introduction of successfully implemented Artificial Intelligence (AI) solutions, many industries across the earth can benefit from increased profitability and still count on economic growth.

To capitalize on this opportu- nity, the study identifies eight strategies for the successful implementation of AI that focuses on adopting a human- centric approach and taking innovative and responsible measures for the application of technology to companies and organizations in the world. The construction of intelligent machines in various industries presupposes the existence of symbolic structures, the ability of them to demand and the existence of knowledge (raw material).

Once artificial intelligence has intelligence equal to or greater than man’s, political and social change will inevitably arise, in which AI has all the advantages of gaining if it realizes that it does not need humans to colonize the universe. Recent advancement in artificial technology depicts orbiting communications satel- lites in the space with its 486 processors. In the future, self- replicating artificial intelligence could easily be made with all human colonies outside the earth, and the human race will never be able to fight in the empty space on equal terms.

KNOWLEDGE BASED TOWARDS UNDERSTAND- ING THE NATURAL LANGUAGE

The most significant characteristics of the natural language are that it has the ability to serve as its particular meta- language. It is easily possible to utilize the natural language in order to provide instruction in the use as well as describe the language itself (Weston et al., 2015). It is because, human usually capable to utilize their natural language to describe about natural language itself. The advancement in the nat- ural language understanding significantly provide effective educable cognitive agent role whose task domain contains the understanding of language and whose discourse do- main contains the knowledge of their own language.

WHAT ARE OPEN CHALLENGES?

Challenges of AI technology include the following; Within near future, the artificial intelligence goals were to affect the society from law and economics in several technical terms including security, verification, validity, and control. The major short-term threats of Artificial Intelligence include the devastating race of arms in fatal autonomous weapons and full dependence of our life on technology will eventually lead to unemployment prob- lem, social discrimination and power inequality in societies. long term use of robotics will create a big challenge includes to human beings as they will take over the world. In addi- tion, with in a given period of time, AI will become better in solving tasks compared to human beings hence lose of jobs.

For example drivers will be ruled over by robotic cars, tellers will be out competed by robotic tellers and many others. As a result of Artificial Intelligence out competing humans will create a big challenge on human thinking. But in the positive side, the AI technology advancement can also considerably aid for eradicating the disease, war and poverty level. Rapid research of Artificial intelligence in robotics is reflected as the large existential threats that are faced by the humanity.

The destructive method developed in the artificial intelligent robot can also increase the risk for the super-intelligent system. For example, the ambitious project of geo-engineering can wreak havoc of ecosystem. This considerably increases the concerns about the AI system advancement which is not malevolence but have increased competency. Although, the super-intelligent artificial intelligence tools can considerably aid in fulfilling the goals un-alignment of goals may cause an increasing problem. Artificial intelligence is simply the next wave of automation, which considerably allows the machines to do tasks that previously required attention and human intelligence. In the short term it can replace people, but above all, it changes the nature of the work that humans do.

In the long run, automation creates more and different types of jobs, which is why not everyone has jobs today. Further, challenges include the large dependence of people towards technol- ogy for their work.

This considerably increases several psychological, physical and mental issues. In order hand, it considerably reduces the unemployment, economic and power balance and disability. It is believed that until the end of 2021, there will be the beginning of a disruptive tidal wave of artificially intelligent robots in our daily life, such solutions powered by cognitive or artificial intelligence technology will significantly displace the jobs, with the great impact felt in logistics, transportation, consumer services and educational process. Furthermore, it can considerably increase the privacy, security and authenticity issues within the society.