Technical Writing 2

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This is the second part of the technical writing series, and it's the second-to-last step before the final assignment. To understand how to tackle this part, take a look at the previous assignments listed below:

1. Annotated Bibliography

2. Research Proposal

3. Technical Writing 1

After reviewing these, you'll have a better idea of what's expected for this assignment. Make sure to read the description of part 2 before getting started.

this is the feedback on the last part.

Your Introduction presented briefly your topic but stretched to your goals in this assessment report; you touched upon the current landscape where AI and automation technologies connect as two “continuously destructive forces” (in your words). You may add a bit more information to the Background section (about the history of automation technologies, current developments, etc.) as it was a bit short.

The Analysis was good as it touched upon important challenges and risks that AI and automatization may trigger. Your integration of a series of external sources was handled well. The Conclusion was sufficient.

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Haider Abbas WRIT-2201-R Rositza Georgieva Feb 12, 2024 Navigating the Impact of Artificial Intelligence and Automation on the Future of Work Annotated Bibliography Manzalini, A., & Artusio, L. (2024). The Rise of Quantum Information and Communication Technologies. Quantum Reports, 6(1), 29-40. In this paper, the authors describe the changing horizon of quantum information and communication technologies. The article in Quantum Reports presents a comprehensive review of the progress and challenges in the field. The authors examine quantum technologies' present status and their possible influence on different areas. The article of Manzalini and Artusio presents timely research on the fast-developing field of quantum information and communication technologies. The article in Quantum Reports is an invaluable source of information for researchers and practitioners on the nuances of the current state of quantum technologies. The authors emphasize the progress in the field and discuss the problems that arise with the development of quantum technologies. The fact that the article was published in the reputable journal Quantum Reports makes the paper a scholarly contribution to the domain of quantum information. The findings presented here enrich the discussion on the transformative nature of quantum technologies and their far-reaching implications for different spheres of life. Siegel, E. (2024). The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. MIT Press. This source thoroughly guides the elaborate terrain of machine learning deployment. Besides being an expert in the field, the author contributes to the practical aspects of the application of AI in different industries. The playbook explores the issues and prospects related to machine learning. It is a useful tool for beginners and experienced professionals. It is a valuable resource for researchers and practitioners looking for a pragmatic understanding of machine learning deployment. Siegel merges theoretical insights with practical examples, making it applicable to a broad readership. Considering the practical facets of AI implementation relates to evaluating the effect of AI on the future of work. The author's expertise and the MIT Press publication confer credibility to the content, establishing it as a trustworthy and reputable resource for people curious about the relationship between AI and labour. FRONTLINE PBS | Official. (2019). In the Age of AI (full film) | FRONTLINE. In YouTube. https://www.youtube.com/watch?v=5dZ_lvDgevk The PBS Frontline documentary episode "In the Age of AI," released in 2019, comprehensively explores the implications of Artificial Intelligence (AI) on employment and the workforce. Directed by PBS Frontline, this documentary delves into the complex landscape of AI, offering viewers a nuanced understanding of the challenges and opportunities that arise from integrating AI technologies into various industries. The documentary achieves depth by including interviews with leading experts in the field of AI. These experts contribute valuable insights into AI implementation's technical, ethical, and societal dimensions. The documentary enriches the narrative by featuring diverse perspectives, presenting a well-rounded analysis beyond the surface-level discussions surrounding AI and employment. A notable strength of "In the Age of AI" lies in its integration of real-world examples. Rather than relying solely on theoretical discussions, the documentary brings the subject matter to life through compelling case studies. These examples showcase instances where AI has already begun to influence or transform industries, providing viewers with tangible scenarios that help bridge the gap between theory and practical application. By entering the narrative on this key theme, the documentary effectively communicates the profound changes occurring in the workforce due to advancements in AI. Shrier, D. L., Emanuel, J., & Harris, M. (2023, October 25). Is Your Job AI Resilient? Harvard Business Review. https://hbr.org/2023/10/is-your-job-ai-resilient The article begins by acknowledging the pervasive impact of AI on the workforce, emphasizing that nearly all jobs will be influenced by AI technologies to some extent. Shrier, Emanuel, and Harris introduce the concept of AI resilience, defining it as the capacity of a job to withstand, adapt to, and leverage the changes brought about by AI. The authors propose a framework for assessing AI resilience, outlining key factors such as the level of routine tasks, cognitive complexity, and social intelligence required in a job. The article concludes by suggesting strategies for individuals to enhance their AI resilience and stay relevant in an evolving job market. This article is highly relevant within the broader research context of AI and the future of work. It contributes by introducing a novel concept, AI resilience, which reframes the discourse around AI’s impact on employment. Tuomi, I., Cachia, R., & Villar-Onrubia, D. (2023). On the futures of technology in education: Emerging trends and policy implications. Publications Office of the European Union. https://doi. org/10, 2760, 079734. This article covers an extensive study of emerging trends and the policy perspective on the integration of technology in education. It looks into the fast-changing educational technology scene to construct possible future scenarios and their effect on academic policies. This collaborative piece is a contemporary analysis of the changing relationship between education and technology. The authors examine the emerging trends and offer a comprehensive discussion on the policy issues these trends raise. The study by the Publications Office of the European Union highlights its relevance in the academic and policy realms. This article centers on the junction of technology and education, offering significant insights for educators, policymakers, and academics keen on the developing field of educational technology and its potential impact on future work and education. Archive Tube. (2018). DO YOU TRUST THIS COMPUTER? In YouTube. https://www.youtube.com/watch?v=aV_IZye14vs The documentary takes a broad approach, addressing the multifaceted influence of AI on society. It examines the profound transformations AI brings to the workforce, raising questions about employment dynamics. The film goes beyond economic considerations, exploring the ethical dimensions of AI, particularly in terms of privacy and security. The documentary sheds light on the intricate relationship between humans and AI through interviews with industry experts. In the context of research on the impact of AI and automation on the future of work, "Do You Trust This Computer?" is a valuable resource. It offers real-world perspectives on how AI influences employment dynamics, making it pertinent to discussions about workforce transformation. Moreover, the documentary touches upon the ethical considerations associated with AI, aligning with broader conversations about the societal implications of technological advancements. References Archive Tube. (2018). DO YOU TRUST THIS COMPUTER? In YouTube. https://www.youtube.com/watch?v=aV_IZye14vs FRONTLINE PBS | Official. (2019). In the Age of AI (full film) | FRONTLINE. In YouTube. https://www.youtube.com/watch?v=5dZ_lvDgevk Manzalini, A., & Artusio, L. (2024). The Rise of Quantum Information and Communication Technologies. Quantum Reports, 6(1), 29-40. Shrier, D. L., Emanuel, J., & Harris, M. (2023, October 25). Is Your Job AI Resilient? Harvard Business Review. https://hbr.org/2023/10/is-your-job-ai-resilient Siegel, E. (2024). The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. MIT Press. Tuomi, I., Cachia, R., & Villar-Onrubia, D. (2023). On the futures of technology in education: Emerging trends and policy implications. Publications Office of the European Union. https://doi. org/10, 2760, 079734. Haider Abbas WRIT-2201-R Rositza Georgieva Feb 12, 2024 Navigating the Impact of Artificial Intelligence and Automation on the Future of Work With the current developments in artificial intelligence (AI) and an ever-increasing discussion of automation, this brief proposal highlights the research that will be on the effects of AI and automation on jobs and employment. This project aims to provide comprehensive analysis, from insights on quantum technologies to machine learning deployment and the ethical implications of AI integration into the fast-evolving employment landscape. Background Artificial Intelligence (AI) and automation are catalysts for extraordinary advancements, reshaping the contours of the global labor market. These technologies stand synonymous with a radical age, moving from conventional working models to a tech-savvy, dynamic field. However, exponential potentials for quantum computing and intricate applications of AI in the workplace throw up both formidable challenges and unprecedented opportunities (Manzalini & Artusio, 2024; Siegel, 2024). In such an environment where industries are changing, the question is how to lead those changes, and it asserts scrutiny of the relationship between technological shifts and human resource management. Project Description and Proposed Plan My study will critically assess how AI, with its resilience, contributes to job markets (Shrier et al., 2023) and the ability of the education system to change (Tuomi et al., 2023). This research will seek to provide a predictive model of the future work paradigm using qualitative analysis and credible case studies derived from documentaries such as 'The Last Generation' (FRONTLINE PBS, 2019) and 'American Irish Eyes' (Archive Tube, 2018). Supporting Materials This paper will substantiate these claims using various secondary sources, such as scholarly articles, industry reports, and even some acclaimed documentaries. This approach, therefore, allows for a multilayered understanding of complex issues related to the interface between AI, automation, and labor. Feasibility of the Idea The richness of the available resources and the urgency of understanding AI in future work push this project onto firm ground. Expert opinions and vital research already available provide a solid base for thorough analysis (Siegel, 2024; FRONTLINE PBS | Official, 2019). Budget N/A Authorization This research is of great importance to educational institutions, business organizations, and policymakers, as it may enable them to make forecasts or prepare for changes in the dynamics of their workforce. In other words, it is a call to engage with technology proactively rather than react to the march of inevitability. I humbly seek your permission to embark on this culturally significant and very relevant study. Attachments: Annotated Bibliography Planning Outline Planning Outline: Report Project Topic: The Impact of Artificial Intelligence and Automation on the Future of Work Purpose: This research seeks to demystify the disruptive effects of AI and automation in the world of work and proffer practical strategies to ensure workforce adaptability and resilience. The study will evaluate how such technologies alter job positions and the wider context of an industry for preparation from the stakeholders for the future work environment. Tentative Structure/Topics: 1. Introduction to AI and automation trends 2. Case studies on the current impact of AI on various industries 3. The role of education in preparing the workforce for an AI-driven future 4. Ethical considerations in the deployment of AI technologies 5. Conclusion and recommendations for future work strategies By examining these components, the project aims to elucidate the multifaceted impact of AI and automation, contributing to a strategic approach to workforce development and policy formation. References Archive Tube. (2018). DO YOU TRUST THIS COMPUTER? In YouTube. https://www.youtube.com/watch?v=aV_IZye14vs FRONTLINE PBS | Official. (2019). In the Age of AI (full film) | FRONTLINE. In YouTube. https://www.youtube.com/watch?v=5dZ_lvDgevk Manzalini, A., & Artusio, L. (2024). The Rise of Quantum Information and Communication Technologies. Quantum Reports, 6(1), 29-40. Shrier, D. L., Emanuel, J., & Harris, M. (2023, October 25). Is Your Job AI Resilient? Harvard Business Review. https://hbr.org/2023/10/is-your-job-ai-resilient Siegel, E. (2024). The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. MIT Press. Tuomi, I., Cachia, R., & Villar-Onrubia, D. (2023). On the futures of technology in education: Emerging trends and policy implications. Publications Office of the European Union. https://doi. org/10, 2760, 079734 Haider Abbas WRIT-2201-R Rositza Georgieva May 3, 2024 Navigating the Impact of Artificial Intelligence and Automation on the Future of Work Introduction/Action Opening The introduction of artificial intelligence (AI) and automation technologies significantly impacts what is known as the world of work, wrenching us all with worries about their ramifications for day-to-day work. In this report, we do our very best to deftly specify the various problems, difficulties, and dilemmas closely associated with AI and the workplace in general. Based on tons of studies, an assortment of supporting materials, and a detailed argument, this assessment report aims to deconstruct, analyze, and break down all aspects of deepening AI and robotization for employment, education, ethics, and society in general. Background AI and automation have become two continuous destructive forces changing the outdated perceptions of employment and labor. Disruptions in existing working patterns and redress of necessary abilities and competencies required in the future are products of the exponentially growing development of AI technologies and the implementation of automation solutions (FRONTLINE, 2019). The panic of industries when they will move to AI-driven innovations to maximize their efficiency and productivity along with the outcome of joblessness, skills gap, and personal ethical dilemmas generated because of AI involvement in people's lives and work. Analysis/Details Automatization and AI adoption have shown a high chance of simultaneously eliminating jobs in industry (Shrier et al., 2023). Those tasks with automation possibilities cease to exist in the systemic orderliness, giving the employees in those routine-based roles the forewarning of redundancy and the obsolescence of their economic role(Archive Tube, 2018). Besides, the competencies required by rapidly burgeoning AI-powered business domains tend to have quite a different focus compared to the traditional skill sets of the displaced workers, indicating an ominous incongruence between the emerging job specifications and the current core competencies of the workforce. This clash increases the number of unemployed people and, widens divisions between the communities and negatively affects the deprived population, which cannot gain skill retraining. The spread of Artificial Intelligence and automation becomes a driver in the labor market context, making it necessary to reconsider knowledge and skills training and the modern approaches to labor force structure (Manzalini & Artusio, 2024). Classical education concepts are being replaced as AI integration increases exponentially, demonstrating the need for parallel shifting education curricula towards enriching students with the essential competencies of STEM areas and digital literacy, respectively (Siegel, 2024). On the other hand, the so-called imperatives of AI-driven businesses necessitate that the system traverses a drastic path towards lifelong learning and ongoing retraining schemes relative to providing the investible avenues of sustaining the adaptability of the workforce amid the maelstroms of technical developments. As AI and automation technology advance and plant several questions, advanced thinking, and profound inspection are critical (Tuomi et al., 2023). There is a danger that automated systems of decisions will develop a tendency towards consolidating existing biases and widening the levels of disparity within society, especially in such domains as employment, access to health care, and criminal justice. Furthermore, the rising involvement of AI in management brings a plethora of ethical questions related to data privacy, transparency of algorithms, and the way personal data should be used (Tuomi et al., 2023). We need to develop an effective regulatory framework that ensures no illegal interference with the government, for instance. Conclusion/Action Closing Lastly, including AI and automation methods in the work scenes will start a radical shift for everybody, which entails numerous complex challenges and ethical dilemmas requiring a cohesive response. The phantom of job displacement, skills shortage, educational reforms, and ethical dilemmas entail that the involvement of policy-makers, industry stakeholders, educational institutions, and society is paramount. Speaking of the never-ending rhythm of the relentless advancement of technology, which will dramatically change the shape of the labor force, it is our duty as members of society to employ proactive tactics that are people-centered to attain a harmonious labor force, where every member will feel included and resilient to any negative effect that may arise as a result of the advent of artificial intelligence era. References Archive Tube. (2018). DO YOU TRUST THIS COMPUTER? In YouTube. https://www.youtube.com/watch?v=aV_IZye14vs FRONTLINE PBS | Official. (2019). In the Age of AI (full film) | FRONTLINE. In YouTube.https://www.youtube.com/watch?v=5dZ_lvDgevk Manzalini, A., & Artusio, L. (2024). The Rise of Quantum Information and Communication Shrier, D. L., Emanuel, J., & Harris, M. (2023, October 25). Is Your Job AI Resilient? Harvard Business Review. https://hbr.org/2023/10/is-your-job-ai-resilient Siegel, E. (2024). The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. MIT Press. Tuomi, I., Cachia, R., & Villar-Onrubia, D. (2023). On the future of technology in Education: Emerging trends and policy implications. Publications Office of the European Union. https://doi. org/10, 2760, 079734. AP/WRIT 2201, Rositza Georgieva TECHNICAL WRITING ASSIGNMENT 2: DESCRIBING PROBLEMS AND DOCUMENTING SOLUTIONS ASSIGNMENT’S VALUE: 15% Length: 4-6 pages double-spaced as this is an expansion of assignment 1 PREPARATION: 1. You may do an additional research looking for articles that focus on solutions to problems, improvements of products, handling problematic issues in a better way, via new methods and technology. Add these sources to your final Reference list, without annotating them. 2. Revise Technical Writing Assignment 1 in regard to grammar and style, and any suggested changes offered in the feedback of your professor. 3. Expand the report you have already created in Technical Writing 1 by adding the following changes: A) Create a new section: SOLUTIONS or SUGGESTED SOLUTIONS AND IMPROVEMENTS, or SOLUTIONS AND RECOMMENDATIONS; Follow the order of the already described problems from assignment 1 and document suggested solutions using the scholarly opinion and expertise that you found in your research; If you have a lot of material/suggestions, separate each in a paragraph and illustrate it with quotes, visuals, or graphs and examples from your research. If you can’t find many, collect them together in one large paragraph, and still pad them with quotes and examples. (1-2 pages maximum) B) Expand and rewrite the Conclusion of the previous assignment by summarizing both problems and solutions and adding your own recommendations. Restate the significance of your topic. C) You may decide to write a separate section Vision of the Future where you focus on your insights, speculations, recommendations, and hopes for the future, or make it blend with the Conclusion. D) Update your Works Cited page, in the APA style, if you have added sources. P.S. Do not shy away from adding visual aids, maps, graphs, charts, etc. and make the report as beautiful and persuasive as your Process Analysis assignments. DUE DATE: May 10, midnight
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Explanation & Answer

Attached.

1. Revised Introduction


Expand the background information about AI and automation technologies.



Integrate more details about the historical development and current trends in AI and
automation.



Provide a clearer linkage between these technologies and their implications for the
workforce.

2. Background Expansion


Incorporate additional historical context and current developments in AI and
automation.



Discuss the evolution of these technologies and their progressive impact on various
industries.

3. Enhanced Analysis Section


Continue to explore challenges and risks posed by AI and automation.



Incorporate new research findings or case studies that highlight recent challenges or
developments.

4. New Section: Solutions and Improvements


Outline solutions to the problems discussed in the previous assignment, supported by
scholarly opinions and expert insights.



If extensive material is available, structure each solution in separate paragraphs with
supportive quotes, visuals, or graphs.



If limited material is available, consolidate the solutions into one comprehensive
paragraph, still supported by evidence.

5. Revised Conclusion


Summarize both the problems and the proposed solutions.



Restate the significance of the topic and add any new insights or recommendations
based on the expanded content.

6. Vision of the Future Section (Optional)


Discuss potential future developments in AI and automation.



Speculate on how these technologies might evolve and their possible long-term impacts
on society and the workforce.



This section can be integrated into the conclusion or presented as a separate part of the
document.


1

Advancing Frontiers: The Impact of Artificial Intelligence and Automation on the Future
of Work

Student's Name
Institutional Affiliation
Course Number and Name
Professor's Name
Date

2
Advancing Frontiers: The Impact of Artificial Intelligence and Automation on the Future
of Work
Artificial intelligence (AI) and automation have radically changed the global workforce,
as they can now perform tasks faster and more comprehensively than ever before. Nevertheless,
the development of AI has been swift, starting with the first experiments, such as the Turing test,
which was the first test for machines' ability to mimic human interaction. In these early
theoretical investigations, AI became a practice-oriented and meaningful area, gradually, due to
considerable developments in data accessibility and computing power, with numerous
implications in different industries. AI and automation are now considered central forces in a
substantial restructuring of job markets and economic landscapes. Consequently,...


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