Newman, S.A. and Gopalkrishnan, S., 2020. The Future of Technology in the Workplace. Organization Development Review, 52(4), pp.35-43. Available at

RESEARCHGATE1 ( Accessed : 8 February 24)

Article Review /Reflection :

The article "The Future of Technology in the Workplace" by Sean A. Newman and Salini Gopal Krishanan piqued my interest due to its insightful examination of the complex relationship between technology and the changing nature of labor. This article is a light of insight in the modern world where technology advancement is the driving force behind work processes. It provides a comprehensive overview of the impending AI revolution and its transformational impact.
My interest was piqued by Newman and Gopal Krishanan's subtle approach, which deftly weaves together the historical background of technological advancements and draws comparisons between the industrial revolution's seismic shifts and the invention of the wheel. This thorough historical perspective offers a solid basis for comprehending the state of technology today and creates the ideal environment for thinking about the significant transformations artificial intelligence (AI) promises.

I was interested in the article's central thesis, which discussed the disruptions that artificial intelligence will bring about. The writers present a striking image of a near future in which professional survival depends on adaptation more than just personal preference. Their plea for reskilling initiatives is made all the more urgent by the threat of job displacement, which forces readers to consider the ramifications of such drastic changes.

I also connected with the article's emphasis on organizational readiness. The authors emphasize the need of having a strategic vision when it comes to automation and robotics, and they urge proactive steps like reskilling initiatives and strong employee support systems. This tactical approach fits with my curiosity about how businesses might wisely and strategically handle the difficulties presented by technology integration.

This article discusses about historical perspectives of AI . It argues that  robots ,AI  has potential to steal jobs of employees. A  study predicts 47% occupations will be affected by automation and it creates  a fear . This article has a balanced view about disruptive potential about AI and Automation . The article  is based on research approach by  taking interviews with technology professionals and data analysis .This  scholarly approach enhances it importants . Although all  these discussions it has some laggings for example it lagged to discuss about the ethical dimensions of automation , technical aspects of automation . Moreover ,It have not illustrated how AI or Automation will affect different countries and cultures . This article also have not search for the possibility of how automation could be used in the social and economic and cultural development .

finally it is a peer reviewed journal written by award winning professors with years of corporate experience which helped me to pick it at the frist glance .

Havard Reference :

Touseef, M., Siddiqui, S. and Farah, N., 2023. Understanding the Role of Automation in Society and its Impact on Labour Market. International Journal of Asian Business and Management, 2(4), pp.543-558.

Available at: CLICK HERE (Accessed : 07 February 24)

Article Review/Reflection :

Since I am interested in the topic of how technological progress affects the economy and society, I chose the article "Understanding the Role of Automation in Society and its Impact on Labour Market" by Muhammad Touseef, Saira Siddiqui, and Nabeela Farah from the authors. The notion of automation, its historical evolution, its benefits and drawbacks, and its implications for the nature of labor and employment in the future are all thoroughly covered in this article.
"The use of machines, control systems, and information technologies to optimize productivity in the production of goods and delivery of services" is how the article describes automation. 1. From the first industrial revolution to the present day of robots and artificial intelligence, it charts the development of automation. It also covers the drawbacks of automation, including joblessness, inequality, skill mismatch, and social unrest, as well as the advantages of automation, including improved productivity, quality, safety, and profitability.

The impact of automation on the labor market—both in terms of the amount and quality of jobs—is also covered in this article. It contends that automation affects employment in two ways: either it increases demand for goods and services, which leads to the creation of new jobs, or it destroys existing jobs by replacing human labor with machine labor. Additionally, it implies that automation may alter the character of work by necessitating that employees learn new abilities, adjust to new responsibilities, and deal with novel organizational and managerial structures.

In order to minimize automation's negative effects and maximize its good potential, the article's conclusion emphasizes the necessity of legislative interventions. It suggests that in order to create and execute policies for labor legislation, social protection, education, and training that can facilitate a seamless and inclusive shift to an automated society, governments, businesses, and employees should work together.

The article explored the impact of automation on the labor market . It took a look on how automation increased productivity while it rises concern about social inequalities . The article provides evidence based on research . It consider both economics benefits and potential social risk .  

Although it discuses all that points  I think it legged to describe some points . It could delve deeper into some factors like health care ,education and the challenges . It could have investigate more in other parts of the world and explore the  role of education and skill development for the world of future automation .

Pothineni, Subbarao. "The Impact of Data Strategy and Emerging Technologies on Business Performance." International Journal of Business Strategy and Automation (IJBSA) 4, no. 1 (2023): 1-19. available at : this page

(accessed : 8 February 24)

Article review/Reflection:

The selected journal article is particularly noteworthy as a great resource because it provides a thorough examination of 228 examples and was published in the International Journal of Business Strategy and Automation (IJBSA). This exhaustive analysis provides a solid basis for the article's conclusions, guaranteeing that the insights offered are well-founded and relevant to a wide range of industries. The research shows  that there is a positive link between the adoption of a data strategy and business success. This says that having a well-organized data strategy is must for improving operational efficiency and establishing a competitive improvements.

The article's support for a customized strategy to technology integration is one of its most notable features. Understanding that the effects of applying emerging technologies differ by industry, the article advises businesses to take their unique setting into account before putting these advances into practice. This viewpoint, which recognizes the significance of context in the effective integration of technical breakthroughs, is in line with practicality.

Through thematic analysis, the article also offers useful insights by identifying frequent obstacles to the adoption of new technologies and data strategies. With practical answers to frequent problems, these insights can help firms navigate the challenges of modernization. The article's usefulness for practitioners looking to implement the research findings in their own organizational contexts is increased by the inclusion of such helpful advice.

The article discusses about  many aspects for example what automation is . It defines automation as  “the use of machines, control systems and information technologies to optimize productivity in the production of goods and delivery of services”. It discueses  about  The pros and cons of automation for the economy and society are covered in the article, identifying  problem with productivity, quality, safety, profitability, joblessness, inequality, skill mismatch, and social disturbance .  It talks about impact on automation on labor market and what challenges a employees have to face . The article  illustrates at how automation affects employment in two ways: either it increases demand for goods and services, which leads to the creation of new jobs, or it lessen employment by replacing human labor with machine labor. Additionally, it implies that automation may alter the character of work by necessitating that employees learn new abilities, adjust to new responsibilities, and deal with novel types of management and organization. Although it discusses about all that things it misses out some points for instance  it does not address the ethical dimensions of automation, such as how automation impacts human dignity, autonomy, and values, or the technical aspects of automation, such as how machines, control systems, and information technologies operate.

The study  published as an open-access publication in the International Journal of Business Strategy and Automation, is  rigorous peer review . One reason the essay is so strong and credible as a valuable source of insights into the complex interaction between data strategy, emerging technologies, and company success is as it was published in a recognized journal and adhered to strict peer review standards.

ARTICLE REVIEW :

This article "Adaptable Automation" by Gloria Calhoun. This Article aims to ascertain a critical exploration gap for the human factors community that has counter accusations for successful human- automation teaming. The flexible operation of automation, like changing its position or/and type during system operations, has been shown to enhance human- automation system performance. Rather than remaining fixed, This brief primer explains flexible automation, when the robotic support's position shifts depending on the work carried out by the system. Two types separate the locus of authority to change automation position adaptable automation ( the human driver assigns how automation is applied) has been set up to prop human's situation mindfulness and give further perceived control versus adaptive automation( the system assigns automation position) that may put lower workload and attentional demands by automatically conforming situations in response to changes in one or further countries of the mortal, terrain, task and so on. Paradoxically to vast investments in adaptive automation approaches, limited exploration has been devoted to adaptable automation. trials directly comparing adaptable and adaptive automation are particularly spare. In conclusion, methodical exploration examining adaptable automation is overdue, including cold-blooded approaches with adaptive automation. Specific recommendations for farther exploration are handed.

Automating certain processes is crucial for administering pivotal safety features, analogous as assuming control of high- speed vehicles during critical situations. stationary automation proves effective for safety measures that automatically spark, much like life- saving protocols. still, disquisition indicates that fixed automation may dwindle alert and workload. On the other hand, adaptive automation systems suitable of conforming automation situations during operation enhance system performance and tackle evolving challenges. versatile automation encompasses various control protocols, each impacting workload, stress situations, and engagement scripts. These protocols range from decision- making centered around humans to fully automated conduct.

Lower Situations of automation can elevate human workload and stress by enhancing interaction and decision- making scores. Again, advanced automation situations may dwindle human engagement and situational mindfulness, risking performance decline and skill deterioration. Although automation offers safety measures and boosts system performance, scrupulous assessment of its position and perpetration is vital to annul implicit failings and guarantee fruitful mortal- automation collaboration.

Papagiannidis, E. et al. (2023) Uncovering the dark side of AI-based decision-making: A case study in a B2B context. Industrial marketing management. [Online] 115253–265

available at : here

(accessed :11 february 24)

Article review /Reflection :

The article titled “ Uncovering the Dark side of AI-Based decision -Making : A case study in B2B context “ done by Emmanouil Papagiannidis , Patrick Mikalef ,Kieran Conboy ,and Rogier Van de Wetering find out the connection between Artificial Intelligence adoption and its potential negative consequences within a B2B context .

The article aims to discuss how increasingly adopted AI technologies enhance productivity in the meantime it also posses challenges and risk . The study uncover the dark side of AI use in a Norwegian energy trading firm .tr

The researcher conducted a single case study within the B2B context where data was taken through semi-structured interviews with the officials of AI for instance managers, traders, and developers who had experience in using AI tools upto three years .

The research finds out adoption of AI system impacts job roles within energy trading farm . In terms of decisions making Traders now depends on AI algorithms and trading recommendations instead of their expertise and experience .

The research shows that there is algorithmic bias where AI trading biases can lead to unfair decisions which can affect trading out comes . It also show communication challenges between traders and AI developers .Traders struggle to understand complex AI models on the other side developers may not understand the trading strategies . The study concerns about emphasizing the need for clear lines of responsibility and draws a question who is responsible for wrong decision making ? The study also shows that some times ai suggestions make conflict with traders values and market norms .

The research shows that we must not adopt AI on every thing its not a straightforward path to success some times it involves trade off and risks . what would be the solution for this ? Training and education of AI where AI literacy and understanding is crucial and traders need to know the limitations and biases .

There should be a guide line for responsibe AI use with organizational vlues and transparency is important among traders and stakeholders .

The research touches the ethical dilemmas but does not get deeply into the development of comprehensive etheical framework . Despite the study focused on the impact of AI in trades but it legged to show collaboration models between human and AI . additionally it could discus about AI’s long term effect on organizational culture and AI ‘s influences on communication and employees morals .

Although the paper provides a strong basis, future investigation may fill in these details and lead to a more thorough comprehension of AI's influence in business-to-business setting .

Rusia, K., Rai, S., Rai, A. and Karatangi, S.V.K., 2021, March. Artificial intelligence and robotics: impact & open issues of automation in workplace. In 2021 International conference on advance computing and innovative technologies in engineering (ICACITE) (pp. 54-59). IEEE.

Available At : https://ieeexplore.ieee.org/abstract/document/9404749

ARTICLE REVIEW:

Russia, K., Rai, S., Rai, A., and Karatangi, S.V.K.'s "Artificial Intelligence and Robotics: Impact & Open Issues of Automation in Workplace" provides a concise but thorough analysis of the ramifications of automation technologies in the contemporary workplace. The authors of this article walk readers through the urgent difficulties and revolutionary promise of integrating robots and artificial intelligence (AI) across businesses.

The report deftly draws attention to the dual character of automation, highlighting both its potential to increase production and efficiency and its potential to cause job displacement. The authors emphasise the necessity of proactive measures to lessen the negative effects of automation on employment through a succinct study. They stress the need of upskilling and reskilling programmes to provide workers the skills they need to prosper in the digital age.

The report also explores the social and ethical issues raised by the broad deployment of automation. The writers addressed topics including algorithmic prejudice, privacy challenges, and socioeconomic inequality made worse by technology. The study argues for responsible technology deployment that puts social justice and ethical considerations first by bringing these important challenges to light.

The report succinctly but effectively outlines prospects for innovation and skill development in the face of automation's problems. Organisations may use the revolutionary potential of artificial intelligence (AI) and robots to achieve sustainable development and competitive advantage by adopting a culture of continuous learning and embracing emerging technology. The authors highlight the significance of proactive adaptation to technological change by offering convincing instances of how strategic technology adoption may spur innovation across a range of industries.

Finally, "Artificial Intelligence and Robotics: Impact & Open Issues of Automation in Workplace" provides a succinct but perceptive analysis of the possibilities and disadvantages of automation technology in the modern labour. The study contributes to our understanding of the intricate relationship between technology, work, and society through its insightful analysis and concise style. Even though more investigation is probably need to fully explore some of the effects of automation, the paper nonetheless makes a significant addition to the conversation about the nature of employment in the digital age.

Available at : https://www.sciencedirect.com/science/article/abs/pii/S1537511019303617

ARTICLE REVIEW :

Robots are gradually replacing manual farm labor – that is the main message in the research paper “Robotics and labour in agriculture. A territorial analysis” by Vasso Marinoudi, ClausG. Sørensen, Simon Pearson, Dionysis Bochtis et al. This paper discusses on the transition from labor-intensive to mechanized production systems in agriculture. The emphasis is shifting on the use of robotic technology targeting labor- formalized tasks, such as fruit picking and crop monitoring, in such a manner as to enable the automation not the substitution of human labor.

‘The agricultural sector is moving towards automation and digitization, involving thus the integration of robotics targeting labour- formalized tasks. This transition raises concerns about job positions and employment in the sector, as robotic technology aims to boost productivity.

High productivity, addressing labor crunches, and adding to agricultural productivity won’t fix the economic damage to business cases from exiled labor and human labor and the complex mesh of ethics, society and law as robotic ecosystems embed into agriculture. These roll outs of robotic technologies into agriculture are painting a new mudscape of labor chop needed as jobs are consolidated, corrosion of middle-skill jobs, growth in high-skill and low-skill positions and the big question of the human-robot blend or handoff as essential tasks are parsed in agriculture.

Agricultural robotics is an incredibly difficult challenge of high intelligence and it faces the constraints of request walls. There are multiple systems of cost-effective, responsibly trained and safe robots to operate. These would adopt a combinative technology approach where robots handle the tasks that they can and humans focus on the tasks where they add the best value. The problem is that it’s often not cost effective for a robot to do the agricultural tasks.

Precision agriculture technologies about agency beneath use of herbicides and agrochemicals. In added words, money is saved. The aggregate of animal intelligence with robotics adds to attendance of precision agronomics technology, the anatomic achievement and finesses activities such as crop superior appraisal and ache identification. A key claim for any approaching aerial actuality in the fields.

The activity aswell has a all-around perspective. In added words, Developing countries, decidedly Africa and corridor of Asia, abide bedeviled by agronomics and pastoral living. The labour acuteness in agronomics has important implications for structural change and the advance accomplishments in these Developing Countries.

A different admission is bare to administer robotics in developing countries, starting from the agronomical position.

Chui, M., Manyika, J. and Miremadi, M., 2015. Four fundamentals of workplace automation. McKinsey Quarterly, 29(3), pp.1-9.

Available at:

https://roubler.com/wp-content/uploads/sites/60/2016/11/Four-fundamentals-of-workplace-automation.pdf

Chui, Manyika, and Miremadi (2015) explore the transformative possibilities of automation inside the workplace in their article "Four Fundamentals of Workplace Automation." The four primary areas where the authors believe automation is poised to have a big effect are the automation potential of various industries, the activities that may be automated, the technical viability of automation, and the economic value that automation may give.

This essay excels in its comprehensive analysis of the various facets of workplace automation. By examining both the potential industries for automation and the specific jobs within those industries that are ripe for automation, the writers provide a thorough understanding of the opportunities and challenges associated with automation.

Furthermore, the writers' focus on automation's technological viability grounds their thesis in fact. They admit that although it would be theoretically possible to automate some operations, cost and regulatory issues might prevent broad adoption. This acknowledgment of the complexity of automation adds nuance to the conversation and challenges readers to think about the larger context of projects including technology.

The essay also does a good job of explaining the financial effects of workplace automation. The authors present a fair assessment of the economic effects of automation by stressing how it may boost output and lead to the creation of new jobs. They do, however, warn that automation can result in job displacement in some industries, stressing the significance of taking proactive steps to lessen these consequences.

Although the essay offers insightful information about the advantages and difficulties of workplace automation, there are several points that may use further study. The writers might go more deeply into this subject. For instance, they just touch on the sociological ramifications of automation, such as how it can worsen inequality. In-depth examination of the ethical and societal implications of automation would enhance the conversation and offer readers a more comprehensive grasp of the topic.

All things considered, "Four Fundamentals of Workplace Automation" provides an insightful examination of the causes and effects of workplace automation. Through a multifaceted analysis that encompasses sectoral, technological, and economic viewpoints, the writers provide readers an all-encompassing structure for comprehending this intricate and swiftly changing phenomena of automation.

Available at: https://www.sciencedirect.com/science/article/abs/pii/S092658051500165X

ARTICLE REVIEW :

This article describes the future of construction automation, including the predicted technological changes and the increasing presence of robots. The article reviews trends of the past and today, describes opportunities for future construction automation, and presents numerous technical terms, including robot-oriented design, robotic industrialization, construction robots, site automation, and ambient robotics. The article also discusses the integration of mechatronics and robotic technologies in living environments and the advancement of health monitoring and guidance thus far with the development of assistive robotic systems. The article concludes by describing a few of the ways robot technology will become more prevalent and potentially change various fields.

The construction industry plays an undeniable role in the world’s economic growth and productivity, with a full 50 percent of a nation’s total investment allocated to infrastructures and facilities. Yet this crucial industry has continually seen declining productivity over the last several decades, due to, among others, low capital investment and capital intensity. Poor working conditions, low interest from the younger generation, and high consumption of raw materials and energy are the primary contemporary challenges confronting the conventional construction and architecture professions.

The construction sector is slow to innovate, since products are intricate, have long lives, are made in a range of sizes from a diversity of materials and are 'fixed-site'. A de-facto constraint is that the industry is tied to its present mode, with low R&D spend and strong resistance to new methods and technologies.

Past technological development supports the hypothesis that every conventional building has generated its own set of technologies and in the beginning these new technologies were in many cases economically, organizationally and technically inferior to those they had to displace. Analysis of present and emerging trends offers an insight into technological obsolescence and its consequences: Additional computer technologies, the STCR approach, service robot systems, and other microsystems technologies are being merged into, as well as essential for the built environment—becoming part of the building and serving as buildings, building components and furniture.

Robot-oriented design and management aims to provide fundamentally for the efficient exploitation of advanced construction and building technology. It conceives that high hopes are possible for the co-adaptation of construction products, processes, organization and management and the advanced or robotic technology, so that the latter becomes more generally applicable, and simpler and/or more efficient to use.

Overall, the composition emphasizes the need for invention and investment to realize the full eventuality of robotization in shaping the future of construction.

AVAILABLE AT: https://direct.mit.edu/daed/article/151/2/256/110620/Automation-AI-amp-Work

Tyson and Zysman (2022) offer a thorough examination of the relationship between automation, artificial intelligence (AI), and labour in "Automation, AI & Work," examining the effects of these technologies on employment, productivity, and economic dynamics. The authors provide a sophisticated understanding of the intricate interaction between technology and labour markets by utilising a multidisciplinary approach that incorporates ideas from economics, technology, and policy studies.

This article's historical perspective on technological advancement and its effects on the workforce is one of its strongest points. Tyson and Zysman show the recurrent patterns of disruption and adaptation in the labour market as they trace the development of automation and artificial intelligence from earlier waves of technological progress. The writers give readers important insights into the long-term dynamics of technology progress and its consequences for employment arrangements by placing recent advancements within a larger historical perspective.

Furthermore, the paper provides a comprehensive analysis of the possible impacts of automation and artificial intelligence on many sectors and professions. In their examination of the various levels of automation sensitivity, Tyson and Zysman stress the significance of taking industry-specific dynamics and needed skills into account when estimating the impact on employment. This nuanced approach highlights the necessity for specialised governmental responses to meet distinct issues encountered by various industries and workers, while also helping to debunk widespread myths about the uniformity of technology disruption.

The article's primary focus on the economic aspects of automation and artificial intelligence, with less attention paid to the social and cultural ramifications, might be seen as a possible restriction. Although Tyson and Zysman offer a comprehensive examination of the labour market dynamics, a more comprehensive investigation of the wider societal ramifications of technology advancement would augment the profundity and complexity of the conversation.

"Automation, AI & Work" provides an extensive and perceptive analysis of the intricate relationship between technology and employment overall. Readers are given a comprehensive knowledge of the potential and problems presented by automation and artificial intelligence (AI) in the modern workforce by Tyson and Zysman's integration of economic research with historical context and policy insights.

Available at: https://journals.sagepub.com/doi/abs/10.1177/0018720813482327

ARTICLE REVIEW :

This study underlines the importance of situation awareness in driver-automation interactions, the influence of participants' awareness on their responses during critical situations, and the importance of communicating uncertainty to the operator. It has also demonstrated the potential for a cooperation-based approach in improving driver-automation interaction. While we chose to focus on a single symbol for communicating uncertainty, investigating the integration of other crew-centred concepts in driving would likely pay additional dividends [11]. Beyond our research, our work has implications for any automated system in which the dynamics of unreliability influence how the operator should respond in a particular scenario. In such systems, it may be beneficial to augment the display with information related to system reliability. Regardless of the specific direction future work takes, we hope that our experiments will be used as the foundation for future designs of driver-automation interaction.

Input displays for imperfect diagnostic automation have potential for conveying uncertainty information. Informing participants of an aid's reliability (i.e., the proportion of correct aid decisions) in a binary decision-making task improved performance with a simple laboratory task, and the effect was subsequently replicated with a more dynamic, realistic task; participants in these studies used an aid to distinguish between 2 diagnostic states (Dwivedi et al., 2015). The present research differs from previous research in 2 key ways: uncertainty information was evaluated in the dynamic context of driving in the present research, and the uncertainty information itself was a relatively simple symbol. A schematic uncertain face was developed for the symbol for uncertainty and was intended to convey humanoid uncertainty, “i.e., unhappy,” when the automation was uncertain, ostensibly when system limits were exceeded.

In sum, the present investigation emphasizes the import of communicating automation uncertainty to enhance driver-automation interaction, curb potential misuse, and handle catastrophic failure. Support for the research hypotheses is observed in the salience of reliability information, increased situation awareness, acknowledgement of system fallibility, and higher trust in the automation when uncertainty was communicated with a simple symbol. An important contribution of this work, therefore, is the evaluation of uncertainty information in the dynamic context of driving and the use of a simple symbol for humanoid uncertainty. Going forward, communicating pleasant uncertainty should be tested in the automated driving context as well other related mechanisms of cooperation to improve human-automation trust, cooperation and safety in real world application.

Mirbabaie, M., Brünker, F., Möllmann, N.R. and Stieglitz, S., 2022. The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets, pp.1-27.

AVAILABLE AT: https://link.springer.com/article/10.1007/s12525-021-00496-x

Mirbabaie, Brünker, Möllmann, and Stieglitz (2022) provide a thorough investigation of the effects artificial intelligence (AI) has on organisations and psychology in the workplace. The authors explore the idea of the "AI identity threat," highlighting how employees' sense of self and competence may be challenged by the introduction of AI technology, resulting in feelings of disquietude and alienation. The authors offer important insights into the emotional and cognitive reactions that influence attitudes towards technology improvements in the workplace by focusing on the individual experiences of people with AI.

The paper also does a thorough examination of the organisational elements affecting the perception of AI identity danger. The authors look at how leadership philosophies, organisational cultures, and communication tactics affect workers' worries about how AI may change their identities and jobs. By using this viewpoint, Mirbabaie et al. contribute to the debate on organisational dynamics in response to technology change by expanding our knowledge of how management decisions and institutional frameworks influence employees' experiences with AI adoption.

The essay also presents the idea of AI identity danger as a distinct kind of psychological resistance to technological advancement. A more comprehensive understanding of the human factors influencing technology adoption and adaptation in organisational contexts is necessary, according to Mirbabaie et al., who contend that traditional approaches to technology acceptance ignore the emotional and identity-related dimensions of employees' responses to AI.

One drawback of the paper could be its emphasis on the organisational and psychological components of the AI identity threat rather than its discussion of the wider social ramifications. A more extensive investigation of the social effects of AI adoption might enhance the conversation and offer a more complete grasp of the potential and difficulties related to AI in the workplace, even as it offers a thorough study of how individuals and organisations are responding to AI.

All things considered, "The Rise of Artificial Intelligence – Understanding the AI Identity Threat at the Workplace" provides a perceptive and topical examination of the intricate relationship that exists between identity, technology, and organisational dynamics. By fusing organisational knowledge with psychological theory, Mirbabaie et al. offer a useful framework for understanding and resolving the issues raised by AI integration in modern organisations.

Reference: Khogali, H.O. and Mekid, S. (2023) ‘The blended future of automation and AI: Examining some long-term societal and ethical impact features’, Technology in Society, 73, p. 102232. doi:10.1016/j.techsoc.2023.102232.

Review

The article “The blended future of automation and AI: Examining some long-term societal and ethical impact features” by Khogali and Mekid explains how AI is affecting socially. The article has made its statements very clear by the use of well-established ideas to ensure that complexities must be understood.

The methodology section is very effective in outlining an integrated strategy. This methodical choice allows for an exhaustive examination of the research worries and enhances the study's versatility and precision.

The section of methodology used in the article is very precise and explains the study’s effectiveness. Although every factor covered is well described but there must be some real world examples that would make it easier to understand the article for anyone who is reading and that would prove more beneficial. There is no doubt that is one of the best articles theoretically but some examples could have been great to understand the ideas easily.

It states that AI is affecting society in many ways. Some of these may be:

          i.            Health

        ii.            Labor Market

      iii.            Security

      iv.            Economic

Everything that has advantages may possible have some disadvantages as well and so is the case with AI. Although it is the best growing technology in the world right now yet it has some drawbacks as it would greatly impact the employment. The employment possibilities would be reduced that is going to be hard for some people who are currently working and they would get replaced by the technology. The article discusses that it is ethically so important to address the concerns and as a result of this AI would be made to deliver the best. All the worries must be solved to increase the positive outcomes and overcome the negativities from the society.

The importance of technology tracking with regard to AI is emphasized, and the integration of moral values into AI systems is encouraged. The article highlights the need for ethical standards to guide robotics studies and addresses the prospect of AI advancement. All things taken into account, it provides an in-depth examination of the opportunities and challenges presented by machine learning and autonomous vehicles, advocating for a methodical and ethical method for integrating these advances into the community.

Reference

YARLAGADDA, R. T. J. I. J. O. C. R. T., ISSN 2017. AI Automation and it's Future in the UnitedStates. 2320-2882.

Review

The research article "AI Automation and it's Future in the United States" by Ravi Teja Yarlagadda that how policies and strategies based on AI are implemented in different sectors and how are they affecting economy of United States of America. It starts with an introduction to AI and how it can be used to rise the revenue and positive influence on number of operations. It describes the positive effects of the technology meanwhile it shed some light on the fact that how it may affect the jobs of persons as it is being grown and adopted vastly.

The review of the literature in this article has been brilliant and explained with great command. In addition to this it explains that how these prevailing conditions may affect the employment and financial conditions of people. The article explains that how these computational procedures have grown over the time starting from simplest algorithm to one of the complex ideas that would pave the path for the development of electronic homes and much more effectiveness in customer services than it is right now that would help in certain respects.

For United States to be the best and efficient in its procedures, it must be considered that how important it is to execute the operations that would lead towards prosperity using AI. This would be a great success if all the operations being carried out by the help of AI are providing the best outcomes without harming the state. The article further explains the requirements that must be met in order to use AI in the positive ways and to overcome all the possible harms associated by the use of this technology.

In the end, the article explains that there may be the complications in the way of progress but keeping the right momentum and equilibrium between resources and AI technology is what makes a state successful and this is what US has to look forward to. The state must take early actions to take the best out of the possible benefits and overcome the worries connected to AI. The article ends with providing an enormous details that how US should consider the advancements in technology to help themselves to stay at the top and rule the world.

Reference

Veenendaal, A. (2023) What is AI automation 🤔 ? all you need to know, SS&C Blue Prism. Available at: https://www.blueprism.com/guides/ai-automation/  (Accessed: 14 February 2024).

Review

In the modern world of AI-powered systems, businesses are using productive artificial intelligence (AI) technologies to boost productivity, simplify workflows, and bring about revolutionary shifts. Concerns have been raised, though, about how AI might affect workers, clients, and legal compliance. The purpose of this guide is to clarify how AI technology can be safely and effectively used for automation, as well as how to use generative artificial intelligence and computational models of language to transform business processes.

Despite their differences, automation and artificial intelligence (AI) can work together to create cognitive automation, in which machine learning is used by artificial intelligence for adapting to and learn from tasks, enhancing computerization skills. AI-driven chatbots, for example, simplify the handling of consumer queries, cutting down on wait times and freeing up staff members to concentrate on more complicated cases.

Additionally, to improve technology precision and effectiveness, smart document preparation uses machine learning to gather and analyze information from records. Gen AI improves automation lifespan, enabling higher-level cases of automation from discovery to continuous administration.

Automation with artificial intelligence assists businesses in a number of ways.
Team productivity: By analyzing enormous volumes of data and offering insightful analysis, AI-assisted automation boosts efficiency.

Ø  Customer experience: Congruent and dependable results from computerized processes increase client satisfaction. 

Ø  Integration and flexibility: Generative AI makes scalable processes possible through customized content creation and conversational automation demands.

Ø  Cost savings: Technology maximizes the use of available resources, cutting down on the expenses related to mistakes and labor-intensive tasks.

Ø  Digital improvement: Gen AI fosters creativity and flexibility by enabling non-tech builders to design automated processes.

Resources offered by the cloud and fundamental algorithms like GPT-3 are included in AI computer programs for quick implementation. An accountable implementation of solutions fueled by artificial intelligence must take into account factors like AI administration, human supervision, ongoing surveillance, authentication, and the reliability of the models.
In conclusion, generative AI and AI machine learning offer businesses enormous potential to boost productivity, elevate customer interactions, and spur technological change. Firms are able to use artificial intelligence to discover novel automation opportunities by putting first accountable execution and leadership.

Reference

Akhtar, K. (2023) Council post: How AI and Automation Are Transforming the World, Forbes. Available at: https://www.forbes.com/sites/forbesbusinesscouncil/2023/07/10/how-ai-and-automation-are-transforming-the-world/?sh=7c57ad864006  (Accessed: 16 February 2024).

Review

The article “How AI and Automation Are Transforming the World” by Akhtar describes how artificial intelligence is changing the world with its enormous abilities and this has been evident from many processes that has been utilized by the different leading sectors in the world right now. Many organizations are willing to use AI in their work that would prove beneficial in many ways. After 2021, the field of AI is growing so faster that it seems to take the control of almost all operations in the coming time.

AI started to evolve in 1950s and since that it has been a great success and now a days it is being utilized in almost every field. It is being said that a time will come when AI will rule the world and human resources would be reduced and this fact is the outcome of a survey conducted by the Oxford university and that time is supposed to be this decade (2020s). This would be a major achievement and would majorly rise the global economy in 2030.

Many sectors in the world are already using AI to help themselves flourish in their respective fields and they have seen a major change. It is even being used by the educational institutions for solving of critical research problems and it has been a great help for the scholars working in these institutions as well. Computational research is evolving at a faster rate throughout the world right now.

It is providing all the possible support required to grow an educational institution. Journalism procedures are also being carried out using this well know technology. Apart from all the possible benefits, it may harm the thinking capacity of humans specifically students as they may use this tool to solve their tricky questions and it is also some sort of dishonesty that they may not do their own work by themselves. Keeping in view all the possible advantages of this fascination, there must exist a balance between AI and human relationships to ensure the loyalty. Yes it may offer all those things that were never possible before but it is also necessary that interpersonal coordination must be taken into account for having the best out of this technology.

At the end, article concludes that this tool would change the existing world. All the organizations that want to grow or change themselves positively can utilize this tool to get major outcomes that would put them in forward directions.