Revision of Literature Review and Introduction Follow the directions below for the completion of the introduction and literature review revision assignment for Unit V. If you have questions, please email your professor for assistance. Purpose: The purpose of this assignment is to revise the introduction and literature review of your academic argumentative research paper, which you created a draft of in Unit IV. Description: In this assignment, you will revise the introduction and literature review that you wrote for the Unit IV assignment. Revisions must be substantive and should be made in accordance with the professor’s instructions. The following parts of the assignment must be revised:

QUESTION

Revision of Literature Review and Introduction

Follow the directions below for the completion of the introduction and literature review revision assignment for Unit V. If you have questions, please email your professor for assistance.

Purpose: The purpose of this assignment is to revise the introduction and literature review of your academic argumentative research paper, which you created a draft of in Unit IV.

Description: In this assignment, you will revise the introduction and literature review that you wrote for the Unit IV assignment. Revisions must be substantive and should be made in accordance with the professor’s instructions. The following parts of the assignment must be revised:

• Introduction (9-12 well-developed sentences/approximately 350 words): For more details about what is expected for each of the following sentences, please see “Lesson 4: The Introduction.” You may also want to review the “Example Introduction and Literature Review (with comments).” The following components must be included in the introduction (in the following order).
  • Sentence 1: Introduce the general topic
  • Sentence 2: Pro side (general)
  • Sentence 3: Con side (general)
  • Sentence 4: Narrow the scope (1)
  • Sentence 5: Examples of the narrowed topic
  • Sentence 6: Narrow the scope (2)
  • Sentence 7: Specific controversy
  • Sentence 8: Pro side (specific)
  • Sentence 9: Con side (specific)
  • Sentence 10: The thesis
• Literature Review (800-900 words): For details about the structure of the literature review, you will want to review “Lesson 3: The Literature Review: The Process.” You may also want to review the “Example Introduction and Literature Review (with comments).” The link is below.
  • Literature review preface: This paragraph acts as a guide to what the reader can expect in the literature review.
  • Literature review body: This section includes three to four body paragraphs that discuss the history, terminology, and both sides of the controversy (pro and con).
  • Literature review conclusion: The conclusion signals that the literature review is ending, but it also acts as a kind of preface for the body of the paper by restating the thesis statement and establishing your argument once again.
• Demonstrate the avoidance of plagiarism through proper use of APA citations and references for all paraphrased and quoted material.
• Implement techniques of editing and revising.

Example: Click here to access the example introduction and literature review. Note: The conclusion is not presented in this example; however, the literature review conclusion is a requirement of the assignment.

You may also seek out the guidance of the Success Center; the specialists are always there to assist you with your writing and comprehension.

ANSWER

The Impact of AI on the Workforce: Balancing Automation, Job Security, and Economic Equality

Introduction

The impact of technology on society has been a topic of significant discussion and debate in recent years. As advancements in technology continue to shape various aspects of our lives, it is crucial to examine the pros and cons associated with these developments. On the one hand, proponents argue that technology has greatly enhanced efficiency, communication, and overall quality of life. Conversely, critics express concerns about potential negative effects, such as privacy breaches, social isolation, and job displacement. In this paper, we will delve into the specific controversy surrounding the use of artificial intelligence (AI) in the workplace.

Narrowing the scope, the focus of this study will be on the effects of AI on job security and the workforce. AI, with its ability to automate tasks and perform complex functions, has become increasingly prevalent in various industries, raising questions about the potential impact on employment opportunities (Deranty & Corbin, 2022). To illustrate the narrowed topic, examples will be provided, including the automation of manufacturing processes, the use of AI in customer service, and the introduction of self-driving vehicles.

To further narrow the scope, this paper will specifically examine the controversy regarding whether AI will lead to a significant loss of jobs or rather create new job opportunities. Advocates argue that AI will augment human capabilities, leading to the creation of new roles and more efficient workflows. On the other hand, skeptics fear that AI implementation will result in widespread job displacement, leaving many individuals unemployed and exacerbating economic inequalities.

Exploring the pro side, proponents of AI in the workforce assert that it has the potential to revolutionize industries, streamline processes, and boost productivity. They argue that AI technologies can take over mundane, repetitive tasks, allowing human workers to focus on higher-level decision-making and creative endeavors. Additionally, AI can improve safety conditions in hazardous environments and enhance the quality and speed of data analysis.

Conversely, opponents express concerns about the negative consequences of widespread AI adoption in the workplace. They contend that AI may replace human workers in various sectors, leading to job losses and increased unemployment rates. Furthermore, they argue that AI algorithms may perpetuate biases and discrimination, potentially resulting in unfair employment practices and unequal access to job opportunities.

In light of these conflicting views, the thesis of this paper is as follows: While AI has the potential to revolutionize the workforce and create new job opportunities, careful consideration must be given to the potential negative impacts, such as job displacement and economic inequalities. By critically examining the evidence and exploring potential mitigation strategies, we can navigate the challenges posed by AI and ensure a more equitable and sustainable future of work.

Literature Review

Preface

In the following literature review, we will explore the historical context, terminology, and arguments surrounding the use of AI in the workplace. By examining a range of scholarly sources and industry reports, we aim to gain a comprehensive understanding of the benefits and drawbacks associated with AI implementation in various sectors.

Historical Context

The history of AI dates back to the mid-20th century when researchers began exploring the concept of machine intelligence. Early developments in AI focused on rule-based systems and expert systems, which aimed to replicate human decision-making processes (Sheikh et al., 2023). Over the years, advancements in computing power and algorithmic sophistication have led to the emergence of machine learning and deep learning techniques, enabling AI systems to process vast amounts of data and make predictions with remarkable accuracy.

Terminology

To comprehend the discussions surrounding AI in the workforce, it is essential to familiarize ourselves with key terminology. Terms such as machine learning, neural networks, and natural language processing are frequently mentioned in the context of AI. Machine learning refers to the ability of AI systems to learn from data and improve their performance over time without explicit programming. Neural networks are computational models inspired by the human brain, designed to recognize patterns and make decisions based on training data. Natural language processing focuses on enabling machines to understand and interpret human language, facilitating interactions between humans and AI systems.

Proponents’ Arguments

Advocates of AI in the workplace emphasize several benefits. One major argument is that AI technologies can automate repetitive tasks, leading to increased productivity and efficiency. For example, in manufacturing, robots equipped with AI capabilities can assemble products at a faster rate and with greater precision than human workers (Davenport & Kalakota, 2019). Additionally, AI-powered chatbots and virtual assistants improve customer service by providing quick and accurate responses to inquiries, reducing the need for human intervention. Proponents also highlight the potential for AI to enhance safety in hazardous environments, as AI systems can perform tasks that would pose risks to human workers.

Critics’ Arguments

Critics raise valid concerns about the impact of AI on the workforce. One key argument is the fear of job displacement and unemployment. As AI technologies continue to advance, there is a growing concern that many jobs will become obsolete, particularly those that involve routine tasks. Furthermore, skeptics caution that AI algorithms may perpetuate biases and discrimination, as these systems learn from historical data that may contain implicit biases. This raises ethical concerns regarding fairness and equal opportunities in employment.

Conclusion

In conclusion, the literature review provides a comprehensive overview of the historical development of AI, the key terminology associated with AI, and the arguments put forth by proponents and critics regarding AI in the workplace. While proponents highlight the potential for increased productivity and improved safety, critics express concerns about job displacement and biases. By critically analyzing these arguments and considering potential mitigation strategies, we can navigate the complexities of AI implementation and foster a future of work that balances technological advancements with societal well-being.

References

Davenport, T. H., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98. https://doi.org/10.7861/futurehosp.6-2-94 

Deranty, J., & Corbin, T. E. (2022). Artificial intelligence and work: a critical review of recent research from the social sciences. Artificial Intelligence and Work: A Critical Review of Recent Research From the Social Sciences. https://doi.org/10.1007/s00146-022-01496-x 

Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In Springer eBooks (pp. 15–41). https://doi.org/10.1007/978-3-031-21448-6_2