Introduction

The predictions as held by Moore’s law of 1975 are that the processing power of electronics components doubles at least once each eighteen months have led to a discovery that machines can and will always evolve for better more efficient performance, (Davern M and Parks A, 2015). This has played an important role in the technological shifts that have led to much of today’s focus on reaching a point where machines can then handle as many of the human activities as possible. Artificial Intelligence is expressed as that state where a machine can understand its environment so much that it has an ability to respond through action and so perform in the same spheres of the cognitive human being whose ability premises are based on a reaction and causative enterprise upon their immediate environment in the causal philosophy postulations,(inforbarel, 2017). In this regard, Artificial Intelligence, AI, is the advent of a machine-run human world and this has several implications both on a negative and positive inclination.

Even though some would argue that there is no way that machines would get to the level of human abilities in their peak, there is a possibility that in time, they will be able to hold the fort as well as any human being by carrying out the various tasks of the human being and then advance to reactive performance based on the historical collection of scientific meta which will enable logical action, intel, (2017). What this means is that the causative philosophy states that, “any type of knowledge results from a historically contingent  and socially built consensus,” (Meyers R.T, 2012: pp32) thereby implying that exposure to an environment is bound to make ability intensified from the interactions of the surroundings and so machines in their turn will respond to their immediate environment and with the increases in transistor circuiting density, knowledge of even more human abilities will accrue. According to Meyers, R.A, science is based on  meta-beliefs of a given “reality.” Technology has the ability to acquire more knowledge beyond that which it is fed on a deliberate level by human programming.

 

What is Natural Intelligence

There are several definitions of AI but they all amount to the surmission that human beings are developing a world where machines and computers are able to carry out human tasks that were once considered impossible to program such as archetypical cognitive tasks of vision and an understanding of the natural language. The result will be a machine that thinks and acts as naturally as any other human being, (Dellar A.T et al, 2007; intel, 2017).

Functions in which AI has made some considerable impact include; the finance sector, medicine, science and education by augmenting human capability, (Emspark J, 2016). What it simply means is that the era has come when human beings can program a machine and sit back to watch it perform and then some more when it goes beyond the general programming meta. Following from Moore’s law, each increase in transistors per each dense integrated circuit will result in improved efficiency each two years, therefore the abilities of the machines and computers can only be increased, (Batten and Pere, 2006).

Developing AI is an on-going phenomenon and the results are predictably improving with time following the ambitious pursuits of mankind. The ideal world would be one which was described by intel, (ibid) where since, “we would never teach a child mathematics without teaching them manners therefore we should get to a point where machines aren’t just smart but also wise.” This signifies that there will always be more attempts at improving machine performance and by the time saturation is reached, there might be a human clone fully developed through machinery and electronics, (West, 2007)

 

The advantages of AI

There are a number of advantages of Artificial Intelligence but at the top of the least would be an increase in efficiency and performance. When a machine can do what a man can do, minus the inhibitions and limitations of mankind, there is bound to be an increase in production, (John G, 2013). For instance, man would fall sick, take lunch breaks and need sleep. Needless to mention stealing a few minutes for social media interactions which when compounded result in shocking hours of non-production. On the other hand, the machine is a non-stop-keep-going mechanism which means that there is more production and increased efficiency.

While experiments are still underway for several technical advancements, risk is rife for some dangerous feats of these experiments. Chemical exposure and even death can occur when man is testing out various technologies, (inforbarel. 2017). The machine is not prone to easy chemical effects and should total demise occur, the loss is easily replaceable by an assembly of a few components as opposed to making up for lost human lives.

The other advantage of AI lies in the technological ambition pursued by human beings. With a smarter machine industry, there is room for newer and more improved technologies as there is less labouring over routine activities. When a machine has been programmed, it is able to further the task goals and this it would do with a considerably higher speed therefore leaving room for the human being to try out other tasks and technologies, (intel, 2017).

 

Disadvantages of AI

Next to technological ambition follows economic growth concerns. For the most part, when a machine can then do all or most of what man can do there is less for man to do, (Meyers R.A). From an employer’s perspective, there is need to downsize and so lay-offs are inevitable. This will lead to rampant unemployment and many families may suffer economically. Such are the concerns of many so that the advent of a technologically advanced era always faces much resistance to implement because several people would be affected negatively. Some would even go to as far as postulate that there will be over-reliance on machinery which would lead to redundancy in mankind as they will lose ability of simple tasks they were performing after having handed all responsibility over to a machine or computer. An example would be how it has become easier to store information in the cloud, such that the ability to segment and organize is slowly fading since the internet will be handling every piece of data.

There are countless advantages to the inception of AI as a technological advancement thrust. There is need for an improved life-style all around and when human beings have mastered the art of programming electronics and machinery to carry these out, there can be boundless tapping into more innovative activities thereby leading the world to performance improvement and production increases which may very well lead to economic booms. On the other hand, there are concerns that the advent of AI into the various sectors will lead to a “human clone” and the religious will claim that to be an act of “playing God.” There are also concerns over the impact of technologically advanced tools in the wrong hands. These may prove to be weapons of mass destruction when used with the wrong intentions.

 

References

 

Anon, (2017). .

Batten, D. and Perez, P. (2006). Complex science for a complex world. 1st ed. Canberra: ANU E Press.

Deller, A., Tingay, S., Bailes, M. and West, C. (2007). DiFX: A Software Correlator for Very Long Baseline Interferometry Using Multiprocessor Computing Environments. Publications of the Astronomical Society of the Pacific, 119(853), pp.318-336.

Intel. (2017). Artificial Intelligence. [online] Available at: http://www.intel.com/content/www/us/en/analytics/artificial-intelligence/overview.html?cid=sem43700015630343595&intel_term=artificial+intelligence&utm_source=bing&utm_medium=cpc&utm_campaign=BIZ%20US%20Artificial%20Intelligence%20-%20General%20-%20Exact%20(S)&utm_term=artificial%20intelligence&utm_content=artificial%20intelligence%20general&gclid=CLjXpPOf7dMCFQtcGwodk0YNyA&gclsrc=ds [Accessed 13 May 2017].

Leal, M. and Losos, J. (2015). A Naturalist’s Insight into the Evolution of Signal Redundancy.

The American Naturalist, 186(4), p.ii-iv.

Meyers, R. (2012). Encyclopedia of sustainability science and technology. 1st ed. New York: Springer.

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