Artificial Intelligence Methodology System †Free Samples to Students

Question: Discuss about the Artificial Intelligence Methodology System. Answer: Introduction Technology has both negative and positive social impacts. Technology allows people to overcome challenges such as space and time. For instance, the Internet, airplanes, ships, and cars enable people to meet, interact, and travel to overcome the challenges. Such technology solutions have helped study other cultures, connect people from different places in the world, maintain families and friends, communicate, and develop social skills. Unfortunately, some technology aspects have caused distraction, stress, and isolation among other people. Clearly, technology has had profound effects that can be either positive or negative. Today, society is experiencing a social revolution and it is critical to establish socially acceptable behavior in the context of technology (Bulton, et al. 2013). However, people are not yet concerned fully about the new social realities being created by the current digital interactions and what it means to society and individuals. As such, this report sees the ne ed to examine the social impact of the modern technology (Gershenfeld, Brooks, Mulloy 2015). Human Kinetics (2010) book compiled some of the findings from Salaway 2008 studies of social networking and students. According to the study, the use of this technology has both negative and positive outcomes. For instance, it is possible to find a long lost friend in a social media platform and connect with them. Further, since the world has become mobile, people are living and working in different geographical locations, families, and friends can keep in touch through social media (Sawyer 2011). Yet, the same social networking aspect of technology has problems. Researchers today are studying the possibility of people having addiction. Television Impacts Television technology has an impact on social lives and skills. Research shows that spending some limited duration following on wholesome TV programs can strengthen friendships. However, other studies indicate that TV can lead to the downfall of social values in people since they spend less time with others in society than they do while watching TV programs (Mendrano, Aierbe, Orejudo 2010). This technology is a passive medium that needs little skill. Unfortunately, exposure to content displayed on TVs has a serious effect on social lives. For instance, Human Kinetics (2010) indicate that exposure to some television shows with adult content may lead to an increase in the rate of teen pregnancy as shown in the figure below. As can be seen in the introduction, technology has made it a privilege for people to occupy a piece land. In effect, the demand for food and textiles has increased. Producers are using technology to generate genetically modified animals and seeds to meet the soaring demand (Verma et al. 2011). Today, farmers are producing salmon that yields and grows ten times faster than the normal one. Unfortunately, unfair genetically modified benefits will extinguish other relevant but smaller life forms. Similarly, GM products are highly dependent on pesticides and the increased use of the chemicals will contaminate the organic seeds and plants. Greedy organizations and individuals continue to use GM technology despite a call for clean and safe food. The Internet offers solutions for communication and data storage (Parise, et al 2012). Companies have used the tool to develop ecommerce systems to connect traders and consumers and to reduce the cost of commodities. In the process, the middlemen lose their income source since a producer can connect direct to end-user. Additionally, data stored online becomes insecure since the Internet has become a playground for hackers who attack private networks with malicious intentions and for financial gains. Robotics, AI, Autonomous, and Machine Learning Emerging technologies such as robotics, artificial intelligence, and machine learning are being developed at a fast pace (Dirican 2015). For instance, autonomous cars, aerial delivery vehicles, and driverless trucks can alter the way people commute, shop, and work. In other words, the technology can create new patterns of how people live (Kroger 2016). Additionally, home robots such as vacuum cleaners are being used to clean. Others are equipped with motion sensors and remote controls to provide security. Evidently, the number of industrial solutions such as robots has increased for the last few years. These products are cheap and they can function for long hours without interruption or human control. They use AI and machine learning to understand the environment and to respond to stimuli (Talwar Kumar 2013). These features makes technology more cost effective and highly productive as compared to human workers. In effect, more people are losing jobs and being replaced with machines. Conclusion From the above analysis, there is no doubt that technology and its trends bring about social changes. As noted, machine learning, robotics, and artificial intelligence lead to misplacement of workers from employment in an economy that offers fewer job opportunities. Ready or not, computers, algorithms, medical sensors, driverless cars, 3 D printing, and other solutions will keep transforming industries at the expense of employment for humans. However, these technologies will also result in profound issues, affecting incomes and other aspects that should be addressed not to enjoy the benefits. It is recommended that stakeholders need to think how to improve the lives of displaced workers as organizations adopt the solutions (ONeill 2017). References Bulton, RN, et al. 2013, Understanding generation Y and their use of social media: A review and research agenda, Journal of Service Management, vol. 24, no. 3, pp. 245-267. Dirican, C 2015, The impacts of robotics, artificial intelligence on business and economics, Procedia Social and Behavioural Sciences, vol. 195, no. 3, pp. 564-573. Gershenfeld, JC, Brooks, D, Mulloy, M 2015, The decline and resurgence of the U.S. auto industry, Economic Policy Institute Briefing Paper, vol. 399. Human Kinetics (Organization) 2010, Dimensions of leisure for life: individuals and society. Champaign, Ill, Human Kinetics. Kroger, F 2016, Automated driving in its social, historical, and cultural contexts, Autonomous Driving, pp. 41-68. Manteu, C 2008, Economic effects of globalization: Lessons from trade models, Economic Bulletin, Banco de Portugal, Spring, pp. 73-90. Mendrano, C, Aierbe, A, Orejudo, S 2010, Television viewing profile and values: Implications for moral education, Revista de Psicodidactica, vol. 15, no. 1, pp. 57-76. ONeill, D 2017, The global northern working class: Engels revisited, In: Mazierska E. (eds) Heading North, Palgrave, Macmillan, Cham. Parise, S, et al. 2012, Four strategies to capture and create value from big data, Ivey Business Journal, no. July/Aug 2012. Sawyer, R 2011, The impact of new social media on intercultural adaptation, Digital Commons URI, vol. 242. Talwar, A, Kumar, Y 2013, Machine learning: An artificial intelligence methodology, International Journal f Engineering and Computer Science, vol. 2, no. 12, pp. 3400-3404. Verma, C, et al. 2011, A review of genetically modified food on human health, The Open Nutraceuticals Journals, vol. 4, pp. 3-11.