Implications of Artificial Intelligence on Employment

This report discusses the potential implications of Artificial Intelligence on employment and how it can affect the job market. It explores the positive and negative impacts of AI on employment and how it can lead to increased efficiency and accuracy. The report also discusses the basic technologies that comprise AI implications, such as Boolean Search, Machine Learning, Natural Language Search, and Natural Language Processing. Finally, the report reflects on the value of AI and how it can bring a huge difference in the enterprise.

Running head: ASSESSMENT TASK 3
ASSESSMENT TASK 3
Name of the Student
Name of the University
Author Note

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

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

3ASSESSMENT TASK 3
iteratively. A cloud based AI product generally provides the Application Program Interfaces
(APIs) were all forms of data are understood that could reveal the business-critical insights
which could harness the power of cognitive computing. There are various products of APIs
that are organized to build a cognitive search and a content analytics engines. A meaningful
insight is built for the applications that have an unstructured text. The user can use iPhone in
Amazon Alexa were an order could be place for a toilet paper. Making an inquiry for
customer service or paying bill through phone will bring them in contact with each other by
designing a computer algorithm that would address the need. Machine seems to have
surpassed the performance of the human. The AI technology impacts the work of human
beings.
Natural Language Search (NLS): The NLS comprises of algorithms that could
perform the search by identifying the content to match the topic that the user describe in a
plain language. As NLS is an AI based technology, it can understand the things that are
written in the document, web page, tables, and databases similar to humans.
Natural Language Processing (NLP): The NLP comprises of the algorithms that has
allow the computer to understand and process the human languages. NLP is the component of
the Artificial Intelligence and it is in the computer program that enables the system to
understand the human language that is spoken.
Step 3: Value Reflection
In assessment 1 and 2, I have discussed about the designing and had reviewed for
every case from various articles. The articles that were reviewed for this report helped to take
immediate actions. Though AI would not display the job categories but would make easier
the job for the future as there are more tasks that are automated to improve the productivity or
safety. AI is not a future technology for organizing the data or makes the live of human easier

4ASSESSMENT TASK 3
or uncovers the trends. The enterprise has got a positive impact from AI (Acemoglu &
Restrepo, 2018). I found one thing to be very clear about this technology is that a lot of
disruption would be going on in the coming 5 to 10 years where each technology have got
their own way of working. When the data set were evaluated about the task that would be
better done by AI and human respectively. I found that for the web development each skill set
has been evaluated to determine the tasks that could be done better and were performed better
by the humans. There are plenty of jobs that could be done by AI much better than the
humans. However, humans have still excelled plenty of tasks over AI.
There are instances were robots can help alleviate the employees without making
them losing their tasks through menial, tedious, time-consuming or tasks that are physically-
strenuous. In most of the scenario it is scene that robots had built a collaboration of working
together. The value of AI is so much that it can bring a huge difference in the enterprise were
there has been provide a set of input to map with the set of output (Holtgrewe, 2014). There
are tasks that require strength and efforts. In such case automating one skill would not replace
other workers. Workers have achieved more upward growth and the workers were having
opportunities were they could work on a more complex tasks. I have now learned that with
this research I can make a clear idea about the writing skills that are enhance with the ability
to read, analyse the power to write and have to search for common themes. During the
research, the articles were very much helpful as it has the ability to learn and approaches
were made to encourage the commonalities.

5ASSESSMENT TASK 3
Reference
Acemoglu, D., &Restrepo, P. (2018). Artificial Intelligence, Automation and Work (No.
w24196). National Bureau of Economic Research.
Brynjolfsson, E., Rock, D., &Syverson, C. (2017). Artificial intelligence and the modern
productivity paradox: A clash of expectations and statistics. In Economics of Artificial
Intelligence. University of Chicago Press.
Chui, M., Manyika, J., &Miremadi, M. (2015). Four fundamentals of workplace
automation. McKinsey Quarterly, 29(3), 1-9.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to
computerisation?. Technological forecasting and social change, 114, 254-280.
Holtgrewe, U. (2014). New new technologies: the future and the present of work in
information and communication technology. New technology, work and
employment, 29(1), 9-24.
Nilashi, M., Ibrahim, O., Mirabi, V. R., Ebrahimi, L., &Zare, M. (2015). The role of Security,
Design and Content factors on customer trust in mobile commerce. Journal of
Retailing and Consumer Services, 26, 57-69.
Raza, M. Q., &Khosravi, A. (2015). A review on artificial intelligence based load demand
forecasting techniques for smart grid and buildings. Renewable and Sustainable
Energy Reviews, 50, 1352-1372.
Russell, S., Dewey, D., &Tegmark, M. (2015). Research priorities for robust and beneficial
artificial intelligence. Ai Magazine, 36(4), 105-114.

6ASSESSMENT TASK 3
West, D. M. (2015). What happens if robots take the jobs? The impact of emerging
technologies on employment and public policy. Centre for Technology Innovation at
Brookings, Washington DC.
Wisskirchen, G., Biacabe, B. T., Bormann, U., Muntz, A., Niehaus, G., Soler, G. J., & von
Brauchitsch, B. (2017). Artificial intelligence and robotics and their impact on the
workplace. IBA Global Employment Institute.