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Implications of Artificial Intelligence on Employment

   

Added on  2023-06-03

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Running head: ASSESSMENT TASK 3
ASSESSMENT TASK 3
Name of the Student
Name of the University
Author Note
Implications of Artificial Intelligence on Employment_1

1ASSESSMENT TASK 3
Step 1: Consider the potential implications of technology and/or artificial intelligence
(AI)
The implications of Artificial Intelligence on employment would be described in this
section, using One search, as it has already transform the world of work. In the assessment
task 1 and 2, it has been discussed about the Information Technology use in the designing and
coding of the website. Based on it most of the jobs that are seen are at the risk of
automatization with the advancement of AI (Brynjolfsson, Rock & Syverson, 2017). In the
decades that are coming, only narrow range of tasks will be taken by the robots. For the new
industrial revolution, a broad economic policy response would be prepared. Virtual learning
techniques have helped machines to perform physical and cognitive tasks in a wide range.
The work that they do is expected to increase the efficiency and accuracy (Nilashi et al.,
2015). The AI systems advance through increased computational power, big data and
machine learning. The benefits for the use of machine are clear for the human work and
employment. If the performance of the machine goes beyond the levels of human then a
question arise in mind is that whether the humans’ jobs are at risk due to the implication of
machine which may reduce the employment (Frey & Osborne, 2017).
Step 2: Discussion paper: way of the implications of AI
The implications of AI would affect the employment in both negative and positive
way. If it is considered negatively then it would display the workers from the tasks that they
were performing previously (West, 2015). On the other hand, if it is considered positively
then it would present the increased demand for the labour for other industries or jobs which
arises due to automation. If it is checked back into the previous industrial revolutions during
the 19th century then it can be seen that the amount of coarse cloth a single weaver produce in
an hour increases by factor of 50. However, when checked through the amount of labour
Implications of Artificial Intelligence on Employment_2

2ASSESSMENT TASK 3
required per yard for the cloth was 98 per cent (Russell, Dewey & Tegmark, 2015). As a
result, cloth has become cheaper and increases its demand. Thus, it creates more jobs for long
run.
There was another case study in which introduction to automobiles led to decline in
jobs that are related to horse. With the emergence of new industries has resulted in positive
impact on employment (Chui, Manyika & Miremadi, 2015). The automobile industry grew
fast and increases the availability of jobs in the sector. With the increase in the number of
vehicles, different sectors have created different jobs. Thus, the cases that are analysed in the
past suggest that the displacement effect has dominated. However, during the longer run
markets and society were fully adapted to automation shocks. The effect of productivity
could lead to a positive impact on the employment. With the most recent technological
developments large volumes of legal documents are introduced which reduces the cost
however increases its demand.
Artificial Intelligence (AI) has got a consistent progress which help in improving their
capabilities for business, medicine and automotive (Wisskirchen et al., 2017). The major
industries and organization has predicted that machine could do or perform any work that a
human can perform. The field of AI could be grown dramatically. The basic technologies
comprise the AI implication includes:
Boolean Search: Boolean Search are algorithms that allow the user to combine the
keywords along with the operators which include AND, OR and NOT to produce a more
relevant results. Thus, the result that was produces would limit the search for those
documents that contains two keywords (Raza & Khosravi, 2015).
Machine Learning: Machine Learning is part of data analysis method that could
automate the analytical building model. Algorithms are used from the data that are learning
Implications of Artificial Intelligence on Employment_3

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