Thursday, December 5, 2019

Use Of Artificial Intelligence Has Positive Impact - Free Samples

Question: Discuss about the Use Of Artificial Intelligence Has Positive Impact. Answer: Introduction Emerging technology such as robots, artificial intelligence is advancing at the rapid pace. Robotic technology has been improving rapidly, offering us with the technological innovation that could assist with the home chores, automobile setup along with other many tasks (Fast and Horvitz, 2017). Robotic technology has transformed from the past to the present surround everyone in today society, which influences both work and the leisure activities. Since the dawn of the millennium, robots are significantly developing the major functions that are needed to enable them to be substituted for the humans in everyday tasks. With the technological improvements they have allowed programmed mechanism that allows the accomplishment of the superior tasks to the organic counterparts (Gurkaynak, Yilmaz and Haksever, 2016). Robotics has been utilized from the average household appliances for example the toaster, washing machine to the industrial robots and artillery machinery. Machines are found in every aspect of our life starting from simple everyday tasks, via the industrial robots performing hazardous or maybe daunting task for making our life less difficult and in the process of saving individual funds (Gurkaynak, Yilmaz and Haksever, 2016).This essay will highlight the use of the robotic which has a positive impact on the society. This essay will critically and evaluates how the robotic or the artificial intelligence would impact the society positively. Robotics/ artificial intelligence are the two topics which have generated consistent interest in the last few decades. From the Google self driving vehicles to the apocalyptic predictions in relation to the unemployment, they have been constant present to the media outlets along with the imagination of the public. Artificial intelligence has undergone significant advances over the last few years (Gurkaynak, Yilmaz and Haksever, 2016). Many of the sub-disciplines include the machine learning, machine vision and the data mining. This advanced has allowed the increase in the number of the non-routine task to become automated by dividing them to the well defined problems. The increase in the capabilities of the AI is making the software to increase the adaptation of the automated knowledge based jobs particularly in the service sector of the economy. An example artificial intelligence has been utilized in the sensors and the big data applications. The quality and the precision of the var iety of the data which has been deployed in the robotics are increasing more systematically (Gurkaynak, Yilmaz and Haksever, 2016). According to the report by BCG, the prices of the software, as well as the hardware which are deployed in the robots that are deployed in the manufacturing, would decrease by twenty percent in the next decade and the performance of these robots would increase by 5% on the yearly basis. The increase in the quantity as well as the quality of the sensor which have been deployed in the robotic has resulted to the increase in the amount of the data which is collected. The presence of this data allows the engineers in overcoming the wide range of the engineering problems which have impacted the society negatively. The possibilities of utilizing the robotics particularly in the non-routine tasks which are manual are increasingly due to presence of more adept sensors (Siciliano and Khatib, 2016). An example of such robot is the Baxter. This robot was designed t o make use of the advanced sensors as well as manipulators. The development of the various subfields of AI such as the machine learning has enabled the division of the simple tasks into the well defined issues which could be susceptible the process of automation. Problems which are difficult to the human are completed by the robots on their own making the human redundant in that particular task. Artificial intelligence has been driving the adaptation as well as the implementation of the precision medicine and production of the food. A growing method for the ailment treatment in addition to the prevention typically takes into the account of the variability in the genes, environment along with the lifestyle for every individual (Hengstler, Enkel and Duelli, 2016). The usage of the precision medicine enables the doctors along with researchers to predict more accurately the treatment together with the prevention approaches for a particular disease that would operate in groups of the people. Many of the answers generally lie in the great volume of the medical data that has also been collected. The AI algorithms for example the deep learning permit the doctors and hospitals to evaluate better their data (Hengstler, Enkel and Duelli, 2016) .The doctors will accurately and efficiently diagnoses various diseases such as therapies which could work better to certain patients. Nonethele ss, artificial intelligence could be costly to the especially on the research part and many organizations are not able to meet the cost associated to it. Another example of utilization of the usage of the robotics/ artificial intelligence is in the production of the food. The population of the world is expecting to improve much substantially over the subsequent three decades; however the capability for the production of the food production will struggle in keeping with this pace. The AI will drive the efficiency in the current farming methods in increasing the production as well as reducing the wastage without impacting the environment (Fast and Horvitz, 2017). An example the system for example the John Deere Auto Trac has enabled the huge machine in planting the crops in uniform and at accurate way to reduce overlap in the agricultural processes for example the tilling, fertilizing and planting and this in turn reduces the usage of the chemical and increase in the productivity. Add itionally, Caintus which is a machine vision organization they are utilizing deep learning and this has created the facial recognition system which could be used to identify the cows through their facial aspects in just seconds (Gurkaynak, Yilmaz and Haksever, 2016). This will enable the farmers to monitor huge herd with the minimal human involvement. To the contrary of this aspect it becomes very expensive to adopt on this technology and only a few developed nations are utilizing the use of the AI and the robotics in the farming sector. Conclusion The impact of the automation technologies such as the robotics and AI has already been felt all through the economy. The worldwide variety of the robots has improved rapidly over the past few years. The falling in the prices of the robots which could operate all day with no interruption could make them cost competitive with the human workers. When in the service industry the computer algorithms can easily carry out stock trade in a short time, much faster compared to the humans. Because these technologies turn out to be cheap, and widespread, they are going to find more programs in the economy which would impact the society in numerous ways both positive and negatively. An example, the robots would replace the human labour and many individuals in the society would lose employment. Thus, robotics and artificial intelligence would impact the society positively in ways we cannot imagine. References Fast, E. and Horvitz, E., 2017. Long-Term Trends in the Public Perception of Artificial Intelligence. In AAAI (pp. 963-969). Gurkaynak, G., Yilmaz, I. and Haksever, G., 2016. Stifling artificial intelligence: Human perils. Computer Law Security Review, 32(5), pp.749-758. Hengstler, M., Enkel, E. and Duelli, S., 2016. Applied artificial intelligence and trustThe case of autonomous vehicles and medical assistance devices. Technological Forecasting and Social Change, 105, pp.105-120. Hoffman, G., Birnbaum, G.E., Vanunu, K., Sass, O. and Reis, H.T., 2014, March. Robot responsiveness to human disclosure affects social impression and appeal. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction (pp. 1-8). ACM. Lewis, C., 2014. 5 areas in Robotics that will transform society and their economic impact. As of, 5, pp.322-332. Mller, J.P. and Fischer, K., 2014. Application impact of multi-agent systems and technologies: A survey. In Agent-oriented software engineering (pp. 27-53). Springer Berlin Heidelberg. Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann. Rabbitt, S.M., Kazdin, A.E. and Scassellati, B., 2015. Integrating socially assistive robotics into mental healthcare interventions: Applications and recommendations for expanded use. Clinical psychology review, 35, pp.35-46. Sheridan, T.B., 2016. Humanrobot interaction: status and challenges. Human factors, 58(4), pp.525-532. Siciliano, B. and Khatib, O. eds., 2016. Springer handbook of robotics. Springer. Zang, Y., Zhang, F., Di, C.A. and Zhu, D., 2015. Advances of flexible pressure sensors toward artificial intelligence and health care applications. Materials Horizons, 2(2), pp.140-156.

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