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The Future of Artificial Intelligence in Design and a Situation of Designers with AI System Name Institution Professor

   

Added on  2021-05-27

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The Future of Artificial Intelligence in Design and a situation of designers with AI systemName InstitutionProfessorCourseDate

KeywordsIn the study of artificial intelligence, the following terms would be very important. Algorithm- It is a set of instructions which are normally given to an AI machine in orderto learn some required characteristics which are useful in its operations. Artificial Intelligence- The ability of AI machine to imitate human behavior byperforming some tasks as well as making decisions like human being. Machine learning- It is an AI aspect that works on algorithms that helps machines tolearn its desirable characters without being programmed. This capability helps AImachine adopt to new behavior when exposed to new environment. Data science- It is basic evaluation of available data with aim of discovering which set ofdata can be used for further research. Cognitive computing- It is a concept that tries to mimic human behavioral characteristicswhich is mainly achieved through data mining and processing of natural language inorder to interpret instructions. RationalIn today’s world, Artificial Intelligence (AI) is replacing human being in some aspects ofhuman endeavors. With growth in technology, AI has been taking new twists within a shortperiod of time according to market demand. In regard to this, there is need to understand thenature and boundaries of AI and the effects it has on individual capacity on design practices. Thefocus of the paper would be on the future of AI and the roles it will play in some years to come.On the same note, it will be possible to evaluate whether human being are on the verge of beingreplaced by AI systems as they seem to dominate the market. Additionally, the analysis of AI

cannot be done without explaining both the current and future roles of AI in the industrialmarket. The extent of AI evolution, its adoption in the market and acceptance in various fieldshas been a major driver of the research. Since its inception in the industry, its contribution hasbeen quite enormous and the debate has been lingering around on its ability to overtake humanon some critical areas. It has been quite interesting to know if future of AI would be able torespond to events and environmental conditions in a similar manner to human beings. Finally,the design technology of AI system would be considered as the main player in the AI fieldbecause its advancement sheds light to development of more intelligent systems. MethodologyArtificial Intelligence (AI) research is somehow complex and limited due to nature ofskills and knowledge required. Due to limited nature of skills, the methodology used determinesthe quality of results to be obtained. When designing the research, some factors such as numberof responded to use, availability of resourceful people and time factor made it possible to opt forqualitative methodology. First, qualitative study seemed to be the best because it can be used toevaluate and come up with specific conclusion on the views and perception of peopleunderstanding (Vaismoradi, Turunen & Bondas 2013, p. 399). Since the research focuses both oncurrent and future perspective of the study, qualitative methodology would help in developingvarious concepts and required visions to evaluate on future of AI. It is very clear that, the studyof AI would dwell much on the future as a result of what has been achieved through use of AI.This makes qualitative the best method because there is no data to record about the future. Tomake it more realistic, qualitative would give much light on AI value in the industry afterevaluation of its use, the areas that have intensively implemented AI as well as its limits. Finally,its ability to work on both structured and unstructured nature of research design has proved to be

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