Report on Artificial intelligence

The research related to artificial intelligence has been improved for the analysis of services systems and the manufacturing. The artificial intelligence provides a theoretical framework for the practical experiences and development of technology in all the fields of science. The work targets new applications of artificial intelligence with the consideration of genetic algorithms, fuzzy logic, business efficiency, and neural network. The productivity as well working efficiency increase that ultimately decreases the rate of unemployment. 

Keywords

Artificial intelligence, robotics, legislation, complex problems, organizations

Introduction of Artificial intelligence

The branch of science that deals with the machines and computer science for the investigation of a solution of a complex problem are called artificial intelligence (Oke, 2008). A number of features are borrowed in artificial intelligence such as intelligence of human being and algorithms used in the computers. The approach is flexible that depends upon the requirement and influence of artificial intelligence for the solution of problems (Purdy & Daugherty, 2016).  The artificial intelligence mainly concerns with practical applications and development of software, robotic development, physical sciences, and data mining. In the case of robotics, the artificial intelligent provides computational models for the satisfaction of understanding. The programs in the artificial intelligent are developed on the basis of human thought processing (Frey & Osborne, 2017).

In the present work, the main objective is to have an overview for the historical development, composition analysis, legal, social, economic, ethical, and political impact of artificial intelligence and the regulatory ways for forwarding development. Besides the literature review of existing knowledge, the present work provides specific applications, policies, and recommendation for the artificial intelligence (Anand, et al., 2018).

Literature review of Artificial intelligence

The goals of artificial intelligence are to stimulate specific problems and to increase the capabilities of researchers in order to identify the solution of issues. The goals for the improvement of artificial intelligence is problem solving, reasoning, detection, knowledge representation, planning, perception and manipulation, social intelligence and general intelligence (Anand, et al., 2018). Artificial intelligence can be divided into two categories including conventional artificial intelligence and computational intelligence.  Artificial intelligence is implemented in a wide range of applications such as automation, cybernetics, hybrid intelligence system, automated reasoning and behavior based robotics (Frey & Osborne, 2017). From last few years, the significant interest in the artificial intelligence is improved due to Rapid and dynamic development of artificial intelligence in the world. The development of Technology is based on the law and policies used by the researchers (Purdy & Daugherty, 2016).  The analysis, as well as understanding of the existing literature, is necessary for the evaluation of artificial intelligence in the real life (Anand, et al., 2018).

Guadamuz analyses the regulations in the US, Australia, and EU and identifies the wide gap between the interpretation of copyright protection and computer generated works. According to him, a failure in copyright protection leads to induce a negative impact on the implications of databases and computer code (Anand, et al., 2018). The generative a probability was considered in his research for the machine learning systems of Companies. The research suggested that IP ownership possessed by the company for the generation of the invention and final analysis. He grappled the research issues for the coding of an artificial intelligence system. The research argues with the efficient allocation of all sort of resources as compared to the other alternatives (Guadamuz, 2017).

The artificial intelligence affects the economy at both macro and micro levels. Based on the analysis of previous literature the impact of Artificial Intelligence can be a balance, negative, and positive. Frey & Osborne considered a restriction on the computerization of activities and explicit implementation of domains in the cognitive tasks (Frey & Osborne, 2017). The statistical and economic techniques predict the development of computerization as well as machine learning in the organization. The increase in computerization reduces the unemployment rate, for instance, employment rate decrease to 47% due to the implementation of computerization (Frey & Osborne, 2017). Due to the development of Technology, the low skilled jobs and high skilled jobs are increasing while demand for mid-level jobs is decreasing. The artificial intelligence encourages collaboration of companies at larger and smaller rates. The use of artificial intelligence builds, operate and maintain jobs in different sectors (Frey & Osborne, 2017).

 Purdy & Daugherty identified structural transformation derived from artificial intelligence. Artificial intelligence has a greater ability to resolve Complex physical task and to improve capital efficiency. The labor productivity increase due to increase of artificial intelligence in the organization and reached 40% (Purdy & Daugherty, 2016). The artificial intelligence in improving the ways to deal with machines and the development of techniques for the detection of human emotions and for analysis of images. The progression of technology helps to identify anticipate interactions and computing processes (Purdy & Daugherty, 2016).  Artificial intelligence makes life more comfortable and the evolution of technology improves the ways of living.  The multidisciplinary analysis defines advancement in linguistics, machine learning, image processing, detection of human behavior and analysis of normal expression along with the body language, and natural language processing (Anand, et al., 2018).

Findings and conclusion of Artificial intelligence

The present analysis identifies the role of artificial intelligence in different aspects. The use of Technology induces impact on the ethics, organization development, and government rules and regulations.  The scope of artificial intelligence is a wide range of processes based on technology (Anand, et al., 2018).

 The present overview is based on analysis and understanding of the pre-existing literature and the necessary precursors. The initial step was understanding of existing paradigms. The literature synthesis is related to the tremendous promises provided by artificial intelligence for the optimization and solution of various problems. The efficiency of completing work increases by using artificial intelligence in every field of life. The legal and regulatory Paradigms are also discussed in the present work. The literature review of the artificial intelligence was based on the knowledge based expert system and the building of designed systems. The development in the algorithms and computer science facilitates the users to have more authentic services and facilities.   

References of Artificial intelligence

Anand, S., Sinha, A., Tiwari, U. & Ray, S., 2018. Artificial Intelligence- Literature Review. [Online]
Available at: https://cis-india.org/internet-governance/files/artificial-intelligence-literature-review

Frey, C. B. & Osborne, M. A., 2017. The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting and Social Change, 114(03), pp. 254-280.

Guadamuz, A., 2017. Do Androids Dream of Electric Copyright? Comparative Analysis of Originality in Artificial Intelligence Generated Work. Intellectual Property Quarterly, 01(03), pp. 10-20.

Oke, S. A., 2008. A literature review on artificial intelligence. International Journal of Information and Management Sciences, 19(04), pp. 535-570.

Purdy, M. & Daugherty, P., 2016. Why Artificial Intelligence is the future of growth. The Social and Economic Implications of Artificial Intelligence Technologies in the Near Term, 01(01), pp. 1-72.