The document discusses artificial intelligence and its impact on business and employment. It provides an overview of how AI can help businesses analyze data and make decisions to improve performance. However, it also notes that the increased use of AI may eliminate some jobs currently performed by humans. The document outlines a research plan to analyze these issues, including sources that will discuss both the benefits of AI for business as well as the potential negative impacts on employment. Key topics that will be addressed are how AI can enhance business operations and the workforce, but may also replace some human jobs and positions.

1. Is Artificial intelligence
a threat or an aid to the
future of humanity

2. Artificial intelligence
 The basic purpose of AI is to enable the machines to think more proactively
like humans, analyses the human behaviour in the process of solving complex
problems and assists in taking decisions.
 AI focuses in embedding the systems which can simulate the ability to learn,
see and think which will enable in responding smartly to various situations
 AI assists the business to gather and analyse the data smartly so as to aid in
decision making, perform complex task accurately enabling in saving time and
effort for the organisation
 AI also opens new era of job opportunities to the individuals around the
world.

3. Three Key Sources
 The following are the key sources which will be used by the student for
preparing the essay
 The articles are sourced through secondary data source
 Source 1: The impact of Artificial Intelligence at Work
 Source 2: The Malicious Use of Artificial Intelligence: Forecasting, Prevention and
Mitigation
 Source 3: Impact of artificial intelligence, robotics and automation technologies on
work

4. Evaluation
 The key source which is applied for the preparation of the assignment and
presentation is “The Malicious Use of Artificial Intelligence: Forecasting,
Prevention and Mitigation”, this is prepared and published by the University
of Oxford.
 This report was published in February 2018
 This article is highly relevant to the topic which is chosen for the discussion
 The publisher of the article is University of Oxford
 This is chosen from the open source server were the article is uploaded
 The main purpose of the article is to present in detail the application of artificial
intelligence in the area of forecasting etc. this will enable the student to see the
negative aspect of AI in the field of business and other areas.

5. Thesis statement
 The thesis is mainly focused in stating the uses of Artificial intelligence in
business
 It is more focused to state how the management and employees can unleash
the potential of AI in enhancing the performance of the individual and help
the organisation to achieve the mission and vision

6. Main arguments – Support 1
 Bessen (2017) has stated that the implementation of AI in the business mainly
in the areas of customer relationship management
 AI assists the business to understand the customer requirements and create
responses to meet those requirements
 In case of CRM, the AI tool will enable in addressing the issues of the
customer at faster pace which will reduce the lead time

7. Main arguments – Support 2
 The National Academy of Sciences (2017) and Royal Society (2017) has stated
that the role if AI is increasing at faster pace in the recent years
 It is noted that there are various key tasks which can be performed using AI
including the range of cognitive tasks like retrieval of key data and
information, understanding the patterns and also enable in forecasting using
the available data
 This intends to support the management in taking quick decisions and stay
competitive.

9. Main arguments – Against 1
 In the words of Recht (2017) it is noted that AI tend to possess a negative
impact on the employment opportunities of the labour
 This will result in reducing the earning capacity of the labours in the market
 The repetitive jobs will be replaced by AI controlled machines which will
make the job and positions outdated

11. Main arguments – Against 2
 As per the research performed by Evans (2018), it is identified that
application of 1 AI intend to eliminate 2 manufacturing jobs
 It is estimated that nearly 250,000 manufacturing jobs were lost in 1 decade
in US
 This is nearly 20% decline, however this loss was more compensated by the
growth in the services oriented industry.

12. Writing Plan
Particulars Begin date End date Days required
Preparation of project proposal 11-28-2018 12-01-2018 3
Preparation of Introduction 12-02-2018 12-05-2018 3
Sourcing the literature review from
various sources 12-06-2018 12-11-2018 5
Research methodolgy 12-12-2018 12-22-2018 10
Analysis of the report 12-23-2018 12-28-2018 5
Presentation of conclusion 12-29-2018 01-08-2019 10
Analysis and Interpretation of data 01-09-2019 01-15-2019 6
Submitting the report to the tutor 01-16-2019 01-21-2019 5

13. Challenges and Solution
 The time available to perform the assignment is short
 AI is a new area of study which the student does not possess much awareness
of the topic
 To overcome the above challenges the student tend to put extra effort in
understanding the basic concepts of AI through analyzing various data sources
 Meet some of the experts in the field to comprehend more about this area
and enable in performing the assignment in a better manner

14. References
 Bessen, J. (2017). Automation and Jobs: When technology boosts employment (Boston
University School of Law, Law and Economics Research Paper No. 17-09). Boston, MA: Boston
University School of Law
 Evans, L. & Kitchin, R. (2018). A smart place to work? Big data systems, labour, control and
modern retail stores. New Technology, Work and Employment 33(1), 44-57
 National Academy of Sciences (2017). Information Technology and the U.S. Workforce: Where
Are We and Where Do We Go from Here?. Washington, DC: The National Academies Press.
Retrieved from: https://www.nap.edu/catalog/24649/information-technology-and-the-
usworkforce-where-are-we
 Recht, M. & Bryan, N. (2017). Artificial Intelligence: Threat or Boon to Radiologists?. Journal
of the American College of Radiology 14(11), 1476-1480
 Royal Society (2017). Machine learning: the power and promise of computers that learn by
example. Retrieved from:
https://royalsociety.org/~/media/policy/projects/machinelearning/publications/machine-
learning-report.pd