Question:
Discuss about the Research Analysis for Artificial Intelligence.
The discussion of the research will be based on different emerging technologies especially robots and artificial intelligence and how it will impact the life of the people in future negatively and positively. The truth of the matter is that there are some emerging technologies like industrial robots, as well as the concept of artificial intelligence, are developing and advancing each day at breakneck speed. However, the focus on the overall impact on employment along with public policy is very less (Schwab, 2017). Some authors and researchers have addressed the issue in various studies and articles. It evaluates the case when the robot will end up replacing the human power in the organization and its impact on public policy. Improvement in the emerging technologies can assist in raising the overall speed along with cost and quality of the existing goods and services; there can be a situation where they can displace a huge number of people. This case further challenges the conventional advantages models of tying the retirement saving plan and health care to jobs. In the current economy where already, there is the place for few workers, the organizations will need to give some thought on how to provide advantages to some displaced workers. The robots are already impacting the lives of the people in some ways, and they have been doing this for so many years now. For the very first time, when anybody sees a device cooking the food or play music and even run vehicles, people casually accept the fact that the machines can, in reality, be trusted to perform different things (Mason et al., 2014).
In technical words, robots are automatic tools that are motorized. However, they usually called as clunky humanoid based foils which are bumbling in the media for so many decades now associated with the characters of humor or in another kind of discussions.
The movies have shown that mobile robot in a bad light and there were video games as well. The critical question here is to ask that what is taking scientist so long to bring robots into reality and why it can’t be replaced in the organization while people sit at home and rest. In historical terms, the highly advanced form of the industrial mobile based robot was developed in the late 1980s and was further supervised by casual and occasional markers with navigation technology. For example, the invention of laser-based barcodes and by pre-existing characteristics like walls, corners as well as doorways. The expensive labor was replaced by the customized software that was designed carefully and tuned with every possible route based segment (Ouwehand, 2017). The small organization that was developed the robots further discovered many industrial level consumers who were eagerly automating the process of transport, security patrol and another kind of routine works. Sadly, many buyers had also lost their interest since there was a realization that the process of installation and route transforming needs were quite time-to consume as well as expensive at work because of experienced ways of programmers based on inconsistent presence. In technical words, the robot completely dazzled from a commercial point of view.
In case of any failure, it was revealed that it becomes essential to the overall success. Firstly, the physical based vehicles for many jobs should be priced reasonably. Luckily, the present AGVs, as well as forklift vehicles or any other machines on an industrial level, were designed to accommodate human based riders (Shively., 2017). Secondly, the consumers must not have to ask for the specialist so that it can put a robot to function or change the existing routine or clean and cover another kind of mundane work which cannot bear the expense, time as well as the uncertainty of installation from an expert point of view. Thirdly, the robot should also work reliably for some six months right before any encounter with the issue or case need downtime for the sake of reprogramming or other cases (Frennert and Östlund, 2014). Consumers in routine work also reject the robots that in a month of operation wedged them in corners, wander away with lost, rolled workforce with falling from the stairs.
The existence of robots that have worked without any fault for so many years has also perfected by an iterative procedure that the most constant failing that can reveal successive and rare issues that are rectified in turn.
The overall influence of the process of automation based technologies is already being seen in the whole economy. Across the world, some industrial level robots have increased quickly in last few years. The fall in the price of robots that can function all day without any interruption, also makes it competitive regarding cost with so many human workers or employees (Woisetschläger, 2016). In the present service sector, the algorithm of the computer can implement the stock-based trades in some time with must faster speed than any human being. With time, such technologies are becoming cheap and more efficient as well as widespread, and it is also essential to find, even more, kinds of applications in the current economy. The current trend towards rising level of automation stems in different sections from the time of recession where it was forced for many businesses to function with few employees. After there is a rise in development, some businesses continued to automate the operations rather than hiring more workers. The echoes where a trend among the technology-based organization can receive huge valuation with some workers. For instance, in the year 2014, a company like Google was valued more than three hundred billion dollars with just fifty-five thousand employees. It is important to note here that it has become a need to find ways where people could live a fulfilling life even when the society need few employees or labor (Tussyadiah et al., 2017).
Further experts also disagree on the overall size of the influence where automation based methods will have on the workforce. There are some warns with the staggering level of unemployment, and there are others who point out that the technology can also develop new job sections that will employ many displaced employees. There is also a third group that continually argues that the computer must have little impact on the employment in coming future. Any policy calculates which deals with the future of the employment, and it should account for the uncertainty in solutions on the matter of employment. When the process of automation based technologies like the robot as well as artificial intelligence make work jobs less safe for the future and there need are ways to provide advantages which is outside the employment. Flexible kind of security is one concept for giving healthcare, education and housing help with not someone who can be employed formally (Shank and Cotten, 2014). Expansion in a different kind of credit provides a guarantee with basic income along with encouraging corporate profit sharing a concept that requires being considered in the case of constant unemployment.
Most probably, the highly provoking question can be raised by the paper is the method in which people will select to spend the time away from conventional work. There are activity based accounts that can finance for life with education for many worthy level causes. Functioning for some time will also help in some to spend a lot of time with family or on creative levels. There is matter on how people will select to spend it on time, and there is also needs to find ways for people to live a complete life even when the society require some workers only (Barnett et al., 2016).
However, it is essential to understand here that the closely knitted objective has remained elusive. In an opposite case where there are many unanticipated explosions of computers into the mainstream with complete work based on robots has failed as per the expectation of the 1950s. That was the time when the experts were dazzled by the miracle measurement capacity of the computers thought that if in case the right case for software were noted down, computers would become the artificial brains with sophisticated and automatic robots. For almost ten years, it was believed that these kinds of robots would clean the doors and perform other household work and remove any drudgery from the lives of people (Barnett et al., 2016).
It is also obvious from the number of examples that it turned out exactly in the same manner. It is also true that the industrial level robots have changes the manufacturing of the vehicles among the other kind of products. However, this kind of automation is a far cry from the current versatile based mobile with an automated creation that some scientists and engineers have asked for. At the same time, by the year 2010, there were mobile robots which were as big as people however with cognitive level of similarities in so many aspects to those of lizard. The machinery has the capacity of carrying out the simple methods like dusting, vacuuming, delivery of the package and in short taking out all possible kind of garbage. It was believed that by 2040, the world would accomplish the original set objectives of robotics along with thematic of science-based fiction which freely move based machine with intellectual capacities of a person (Barnett et al., 2016).
The history apparently states that the history is mainly filled with many unfulfilled objectives in case of robotics and why it is believed that quick growth along with achievement is in the present offerings. The conclusion is based on the current increase in the electronics as well as software along with observation associated with robots and computer along with even many living things in past three decades.
The best method for the optimism is based on soring the work in recent time with the mass production of computers. During the time of 1970 and 1980, the computers are present for so many robotics researchers and were also capable of implementing one million cases with instruction per second. Every instruction shows the basic work like adding two ten-digit number or storing the outcomes in specialized place in memory (Barnett et al., 2016).
During early 1990, the computer power is right to save the research-based robot shot with ten MIPS to hundred MIPS. In the recent time, it has also reached fifty thousand MIPS in just a few high-end desktop computers with so many processors. There is Apple’s laptop called MacBook which has a high retail price and accomplished about ten-thousand MIPS. Therefore, operations far beyond the capacities of robots in the time of 1970 and 1980 are now coming closer to viability commercially (Barnett et al., 2016).
For instance, in 1995, an experimental based vehicle known as Navlab V crossed the US in various cities driving oneself more than ninety-five percent of the time. The vehicle’s navigational system was manufactured around a twenty-five MIPS laptop based on the varied microprocessor by the Sun Microsystems. Similar to robotics automobiles, manufactured by researchers at some other place in the US and in Germany, have logged thousands of highways km under every kind of weather condition and driving cases. There are many dramatic developments in the field become clear as per grand challenge cars in successful traversed. Computers are no match for the current time for humans in such operation as identifying and navigating. This expert was puzzled for some years since computers are far more superior to us in measurement. The overall explanation of the current paradox attends from the reason that human brain, in it completely is not truly programmed with a general motive computer where computer scientists are based on universal machinery with all kind of computers in the present times are examples of such devices (Barnett et al., 2016).
To gain clarity on why this needs an evolutionary approach and to survive the early ancestors has to do many things in a repeated manner and very well located with food, escaped from predators and saving different offspring methods. The work relies strongly on the ability of the brain to identify as well as navigate. There are hundreds and millions of years evolution with the brain becoming a type of ultra-sophisticated with specialized motives computers (Young, 2017).
Conclusion
In the coming time, when the cost with the inconvenience of travel will most likely rise for an hour mostly ensuring that resorting is as per the standards. In the present time, all kind of modern technologies are designed to bring the whole world to people, phone, radio, TV as well as internet, however, the trend continues, robots will help soon by bringing world in every possible way and high speed of work. A mind, as well as hand towards it, is required while where sit safely at the house and also functions. It is for the future objectives, something people know where one can do when it can be urged the current market towards and may even be able to do work on something (Young, 2017). In case, robots won’t transform the lives in the future, and they will expand them in right manner. The process is done not just for the sake of fun but for necessity. The organization must take the initial step into calling out into homes and just have to keep patience to wait for sometimes to proctor them into forming more for human beings.
Reference
Barnett, W., Foos, A., Gruber, T., Keeling, D.I., Keeling, K. and Nasr, L., 2016. Re-examining value co-creation in the age of interactive service robots. In Rediscovering the Essentiality of Marketing (pp. 417-422). Springer International Publishing.
Frennert, S. and Östlund, B., 2014. seven matters of concern of social robots and older people. International Journal of Social Robotics, 6(2), pp.299-310.
Mason, S., Marchetti, C., Crawford, K., Foster, S., Dell, B., Bailey, M., Baum, S., Clayton, L. and Valentine, M., 2014, October. Institutional transformation at a large private technical university: Reporting on the accomplishments of a combined data driven top-down and bottom-up approach. In Frontiers in Education Conference (FIE), 2014 IEEE (pp. 1-8). IEEE.
Ouwehand, A.N., 2017. The role of culture in the acceptance of elderly towards social assertive robots: how do cultural factors influence the acceptance of elderly people towards social assertive robotics in the Netherlands and Japan? (Bachelor’s thesis, University of Twente).
Schwab, K., 2017. The fourth industrial revolution. Crown Business.
Shank, D.B. and Cotten, S.R., 2014. Does technology empower urban youth? The relationship of technology use to self-efficacy. Computers & Education, 70, pp.184-193.
Shively, R.J., Lachter, J., Brandt, S.L., Matessa, M., Battiste, V. and Johnson, W.W., 2017, July. Why Human-Autonomy Teaming?. In International Conference on Applied Human Factors and Ergonomics (pp. 3-11). Springer, Cham.
Tussyadiah, I.P., Zach, F.J. and Wang, J., 2017. Attitudes Toward Autonomous on Demand Mobility System: The Case of Self-Driving Taxi. In Information and Communication Technologies in Tourism 2017 (pp. 755-766). Springer, Cham.
Woisetschläger, D.M., 2016. Consumer Perceptions of Automated Driving Technologies: An Examination of Use Cases and Branding Strategies. In Autonomous Driving (pp. 687-706). Springer Berlin Heidelberg.
Young, R., 2017. Personal autonomy: Beyond negative and positive liberty (Vol. 9). Taylor & Francis.
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