Job Displacement Research Articles

The Transformative Role of Artificial Intelligence in Human Resource

This research paper explores the impact of artificial intelligence (AI) on human resources (HR). It focuses on the role of HR professionals evolving the influence of AI-driven practices on employee experience and the dynamics of collaboration between humans and AI. The study emphasizes a shift in HR responsibilities towards functions and highlights the crucial skills needed for success in an AI integrated environment. It identifies effects on employee experience, such as learning opportunities, while acknowledging potential drawbacks like job displacement and biased algorithms. The paper advocates for a partnership between humans and AI, emphasizing governance and continuous learning. Recommendations for HR professionals and organizations include embracing learning, prioritizing functions, advocating for ethical AI practices, and fostering collaborative relationships with AI. Ultimately, the paper envisions a future where AI complements expertise to create a compassionate workplace. It calls for research in this transformative HR landscape.

Does Artificial Intelligence have the Possibility of Taking Over Designers' Jobs in the Future?

Technological advances in tools such as artificial intelligence have made it easier for architects, planners, interior designers and urban designers to visualize their designs easily and save time. Today, AI (Artificial Intelligence) is integrated into many different professions, and the design sector is no exception. Also, new design technologies, for example, OpenAI, ChatGPT, Dall-E 2, and Mid Journey, quickly dissolve the lines between what humans do at work and what machines and algorithms do. Despite the fact that design is a highly creative discipline that calls for a special blend of technical expertise, aesthetic judgment, and user empathy, AI systems are currently unable to fully recreate these skills. They only provide output in accordance with system input. They are unable to independently innovate new things. And indeed, we discovered that AI fundamentally alters the practice of design. Traditional problem-solving tasks performed by designers are increasingly computerized into unrestricted volume and speed learning loops. This situation raises the question of whether artificial intelligence will replace the job of designers in the future. This essay would attempt to give an explanation of two factors, first, how AI technology would mitigate designers’ duties, and second, the reasons why it would not be able to replace designers and architects in the near future. The article seeks to do a discourse, summarizing the studies on the effects of AI on the professional activity of designers and projecting where future designers will stand in their respective fields. Furthermore, this paper discusses the implications of artificial intelligence on the profession of designers, such as job displacement, job redefinition, and changes in the skill set required to be successful in the profession. Finally, the outcome of the essay is to understand the revolutionary impact of AI tools in design sectors in the future.

Revolutionizing Agriculture: The Impact of AI and IoT

This review comprehensively examines the role of Artificial Intelligence (AI) and the Internet of Things (IoT) in revolutionizing agricultural practices. It highlights how these technologies are pivotal in enhancing crop productivity, optimizing resource use, and ensuring sustainability in response to the challenges of a growing global population and environmental concerns. The article synthesizes key studies to showcase advancements in smart aquaponics and marine farming, emphasizing the the importance of implementation of AI and IoT in agriculture faces significant challenges, including high costs, a digital skills gap among farmers, data management issues, and the need for robust technology. The review also addresses the socio-economic impacts, such as potential job displacement due to automation. Looking ahead, the article suggests that overcoming these challenges will require concerted efforts in technological innovation, policy-making, and education. The future of AI and IoT in agriculture is seen as promising, with potential for further advancements and wider adoption. The integration of these technologies with emerging fields like blockchain could lead to more secure, efficient, and transparent agricultural practices, contributing significantly to global food security and environmental sustainability.

Do Consequences of Parental Job Displacement for Infant Health Vary Across Local Economic Contexts?

Do Consequences of Parental Job Displacement for Infant Health Vary Across Local Economic Contexts?

Exploring Response Strategies for Higher Vocational Education under the Development Trends of AI-Induced Job Displacement Effects

Exploring Response Strategies for Higher Vocational Education under the Development Trends of AI-Induced Job Displacement Effects

ChatGPT in finance: Applications, challenges, and solutions

The emergence of ChatGPT, a generative artificial intelligence tool, has sparked a revolution in the finance industry, enabling individuals to interact with technology in natural language. However, the use of ChatGPT in finance presents a profound array of ethical considerations that demand careful scrutiny to ensure its responsible and ethical use. After a concise exploration of ChatGPT's applications in finance, this policy article delves into the ethical challenges arising from the use of ChatGPT in finance, including outcomes contaminated with biases, incorporation of fake information in the financial decisions, concerns surrounding privacy and security, lack of transparency and accountability in the decision-making processes and financial services, human job displacement, and the intricate web of legal complexities. Our article asserts that financial institutions employing ChatGPT must proactively devise strategies to confront these burgeoning challenges, mitigating their adverse effects on both individuals and society as a whole. Additionally, we propose relevant policies to tackle these ethical quandaries head-on. In essence, this article illuminates the imperative need for a meticulous ethical framework, facilitating an informed and responsible use of ChatGPT in the realm of finance, safeguarding the welfare of individuals and society. While our work significantly contributes to the research and practice of finance, we also identify future research avenues.

An Analytical study on Navigating Sustainability Challenges and Opportunities in the era of AI and the Gig Economy

The gig economy, characterized by its flexible work arrangements and independent contractors, has witnessed rapid growth in recent years. However, it faces sustainability challenges related to worker welfare, income security, and job classification. This paper explores the emerging role of artificial intelligence (AI) in the gig economy and its potential impact on these sustainability concerns. Through an analytical lens, it examines the current applications of AI in the gig economy across various platforms and tasks, highlighting both efficiencies and potential biases.The anticipated effects of AI on gig workers including job displacement, skill requirements, and potential for wage changes.The implications of AI for the sustainability of the gig economy, analyzing how it might exacerbate existing challenges or pave the way for improvements in worker protections and platform governance.Potential policy considerations and recommendations to ensure a more sustainable and equitable gig economy in light of AI integration. The paper concludes by emphasizing the need for a nuanced understanding of AI's potential in the gig economy, advocating for proactive measures to address potential disruptions and harness its capabilities to create a more sustainable and rewarding future for the flexible workforce.

Tractor acquisition and agricultural performance among Nigerian farmers: Evidence from Co-integration Modeling technique

Given the envisioned significance of the agricultural sector in Nigeria, which scholars have argued has the potential to promote pro-poor growth and poverty alleviation. However, questions have been raised about using and accessing modern agricultural machinery for farm cultivation. In this regard, this study uses a co-integration modelling technique to investigate the impact of tractor acquisition on agricultural performance. Two equations were established through the normalisation processes to proxy agricultural performance: the agricultural output and employment equations. Firstly, the analysis procedure requires a preliminary test to determine the statistical properties of the series used in this study; evidence from the outcome indicates that the series are not stationarity at level form and are integrated of order one. Secondly, based on the outcome of the preliminary result, the error correction model approach to co-integration was adopted, which helps to capture the short-term dynamics and long-term equilibrium of the effect of tractor acquisition on agricultural output and employment. The findings from the agricultural output equation show that credit to the agricultural sector, land cultivated for agricultural purposes, and tractor acquisition are statistically significant contributors to agricultural output. The agricultural employment equation shows that credit to agricultural purposes, land cultivated for agriculture and rainfall have a positive long-term relationship with employment. At the same time, tractor acquisition has a negative impact on agricultural employment in the long run. In the short run, exchange rate, rainfall, and tractor acquisition positively correlate with agricultural employment. In contrast, credit for agricultural purposes and land cultivated for agriculture negatively affects employment. Based on the findings, there is a need to strengthen policies that support access to credit, promote sustainable land use practices, and enhance water management. Also, policymakers should consider implementing measures that encourage the adoption of tractor technology while simultaneously addressing potential challenges related to job displacement.

The Impact of AI on Sustainable Development of The Labor Market

With the emergence of generative AI technologies like ChatGPT, the conversation has shifted increasingly toward the possibility that machines will take over human jobs. The rise of artificial intelligence (AI) poses a double challenge to job security and the labor market organization while also bringing about remarkable efficiencies and introducing fresh job sectors. The complex landscape requires intentional government intervention based on fundamental economic principles. Information asymmetry is emphasized in discussing AI’s incorporation into the labor market, utilizing Joseph Stiglitz’s information theory. Discrepancies in access to information about emerging technologies and the required skills for the AI-driven economy could exacerbate market inefficiencies and result in job loss. Stiglitz’s remarks underscore the crucial need for governments to actively address these information gaps to enhance market efficiency and promote worker well-being. Potential actions could involve promoting partnerships between educational institutions and businesses to align curriculum with evolving labor market demands and mandating that companies reveal the incorporation of AI into their practices to enhance the accuracy of workforce development plans. This paper analyses the role of government in harmonizing AI’s impact on the labor market, AI’s influence on labor market dynamics, and navigating job displacement in the AI era. In addition, the relevant recommendations are proposed.

Artificial intelligence on the agro-industry in the United States of America

<p>Integrating artificial intelligence (AI) into agriculture is a pivotal solution to address the pressing challenges posed by rapid population growth and escalating food demand. Traditional farming methods, unable to cope with this surge, often resort to harmful pesticides, deteriorating soil health. However, the advent of AI promises a transformative shift toward sustainable agricultural practices. In the context of the United States, AI's historical trajectory within the agricultural sector showcases a remarkable evolution from rudimentary applications to sophisticated systems focused on optimizing production and quality. The future of American agriculture lies in AI-driven innovations, spanning various facets such as image sensing for yield mapping, labor management, yield optimization, and decision support for farmers. Despite its numerous advantages, the deployment of AI in agriculture does not come without challenges. This paper delved into both the benefits and drawbacks of AI adoption in the agricultural domain, examining its impact on the agro-industry and the environment. It scrutinized the emergence of robot farmers and AI's role in reshaping farming practices while acknowledging the inherent problems associated with AI implementation, including accessibility, data privacy, and potential job displacement. Moreover, the study explored how AI tools can catalyze the development of agribusiness, offering insights into overcoming existing challenges through innovative solutions. By comprehensively understanding the opportunities and obstacles entailed in AI integration, stakeholders can navigate the agricultural landscape adeptly, fostering a more sustainable and resilient food system for future generations.</p>

Industrial Revolution of Artificial Intelligence

The paper explores the challenges posed by the artificial intelligence (AI) industrial revolution and emphasizes the need for responsible and ethical handling of AI technology. It primarily focuses on issues related to data security, privacy, ethics, and societal consequences. The integration of AI into various aspects of society requires strict regulation to prevent unintentional biases, discrimination, and surveillance. Maintaining transparency, fairness, and accountability within AI systems is a challenging task. In addition to discussing these challenges, the paper identifies key research questions concerning the AI revolution's impact on ethics, privacy, workforce disruptions, and societal dynamics. These questions serve as a roadmap for future studies to better understand how AI affects individuals, organizations, and society as a whole. To investigate these challenges and opportunities, the paper outlines a comprehensive research methodology that combines qualitative and quantitative methods, including literature reviews, case studies, surveys, and expert interviews. This approach provides a well-rounded perspective on the AI revolution by synthesizing theoretical foundations, real-world examples, and insights from various stakeholders. The study presents findings highlighting the significant progress AI has brought in terms of automation, innovation, and productivity, enhancing human capabilities. However, it also underscores concerns related to privacy, ethics, and potential job displacement. The paper advocates for responsible AI development, emphasizing the importance of ethical guidelines, regulations, and transparency. These findings offer valuable insights for policymakers, industry experts, and researchers, helping them better understand and harness the potential of AI while addressing its risks and societal impacts.

The impact of AI on employment and jobs: A comprehensive analysis

As AI is starting to gain popularity in the modern digital age, an interesting and crucial question is asked: what changes will artificial intelligence bring to the work industry? In this research, we will view AI from both a positive and negative perspective to consider what it can do for the future of society. Our research encompasses the trade-offs and the effects the implementation of AI in work industries will bring. Recognizing how AI will change our workforce will be an important question to answer in the upcoming years of technological innovation, so we decided to tackle it and find a possible answer. By examining the different impacts of AI on employment, we aim to contribute valuable insights that can inform discussions, policies, and strategies for a balanced integration of AI into the future workplace. Our study determines how AI can positively impact the workforce through supplementing productivity, streamlining processes, and creating new employment opportunities. At the same time, we also delve into potential challenges such as job displacement, ethical concerns surrounding AI, and the absence of comprehensive policies. By taking a comprehensive approach to assess the implications of AI on employment, we aim to contribute valuable insights. These insights can inform discussions, shape policies, and guide strategies for a balanced integration of AI into the changing landscape of the future workplace.

How Artificial Intelligence Affects Workforces: The Impact of Biased Recruitment and Job Displacement Risk

How Artificial Intelligence Affects Workforces: The Impact of Biased Recruitment and Job Displacement Risk

Job Displacement Due to Artificial Intelligence and Machine Learning – A Review

The advent of artificial intelligence (AI) has ushered in a transformative era across various industries, yet it has also brought about concerns regarding job displacement. As AI technologies advance, there is a growing realization that certain routine and repetitive tasks may be automated, potentially leading to a shift in the employment landscape. This paper gives an update on the current scenario regarding Job displacements using current literature. Jobs that involve routine data analysis

Technical change in agriculture and homicides: The case of genetically-modified soy seeds in Brazil

In this paper, we estimate the effects of the introduction of a labor-saving technology in agriculture on violence, by examining the case of the adoption of genetically-modified soy seeds in Brazil. Previous literature has shown that this technological change leads to job displacement, increases in land conflicts and gender inequality. We show that the effects also spread to homicide rates, which increase significantly after the adoption of the modified soy seeds.

ARTIFICIAL INTELLIGENCE IN THE ERA OF 4IR: DRIVERS, CHALLENGES AND OPPORTUNITIES

This abstract explores the intersection of Artificial Intelligence (AI) and the Fourth Industrial Revolution (4IR), focusing on the drivers, challenges, and opportunities of this transformative landscape. AI is driving the adoption of advanced technologies like data analytics, machine learning, and deep learning, unlocking unprecedented capabilities. However, AI faces ethical challenges such as fairness, transparency, and accountability, technical limitations, regulatory complexities, and societal impacts like job displacement. Despite these challenges, AI offers vast opportunities across industries, such as personalized healthcare diagnostics and autonomous systems. The future of AI in the 4IR requires a nuanced understanding of these challenges and opportunities, refining AI algorithms, addressing biases, and ensuring ethical deployment. Robust regulatory frameworks, reskilling initiatives, and the synthesis of AI with emerging technologies like quantum computing and edge computing are also crucial.
 Keywords: Artificial Intelligence; Fourth Industrial Revolution(4ir); Opportunities, Developing Countries, Ethical Challenges.

The Role of AI in Advancing Sustainable Human Resource Management Practices

Purpose of the Paper: The purpose of this research paper is to explore the potential of artificial intelligence (AI) in promoting sustainable workplaces, specifically in the context of green HR. The motivation behind this study is the growing interest in environmental sustainability and the need for organizations to adopt sustainable practices. The integration of AI in HR practices has the potential to promote sustainability and reduce the carbon footprint of organizations. Problem Identified: The problem addressed in this paper is the limited understanding of the potential of AI in promoting sustainable workplaces, specifically in the HR domain. The paper aims to provide an in-depth analysis of the potential benefits and challenges of incorporating AI in HR practices to promote environmental sustainability. Approach: The approach taken in this study involves a thorough review of relevant literature on AI, green HR, and sustainable workplaces. The paper discusses the role of AI in promoting sustainable workplaces, including identifying patterns of energy consumption and reducing waste through AI-powered energy management systems such as automated lighting and heating systems and smart building technologies. Results: The paper summarizes the benefits of adopting sustainable workplace practices, including reduced costs, improved employee health, and enhanced corporate reputation. It also highlights case studies of companies that have successfully implemented sustainable workplace practices. The challenges of adopting AI for green HR are discussed, including cost, security, and privacy concerns, and the need for skilled AI professionals. The potential impact of AI on job displacement and the need for reskilling and upskilling are also analyzed. Strategies for implementing AI for green HR are presented, including best practices for effective change management, stakeholder engagement, and collaboration with AI vendors and suppliers. The importance of ethics and transparency in AI implementation is also discussed. Conclusion: In conclusion, the paper presents key findings and recommendations for companies seeking to implement AI for green HR. It reflects on the future of AI for sustainable workplaces and potential areas for future research. The study provides valuable insights into the potential of AI in promoting sustainable workplaces and serves as a foundation for further research in this area. Keyword: AI, Human Resource, Sustainable

The impact of AI on employment and jobs: A comprehensive analysis

As AI is starting to gain popularity in the modern digital age, an interesting and crucial question is asked: what changes will artificial intelligence bring to the work industry? In this research, we will view AI from both a positive and negative perspective to consider what it can do for the future of society. Our research encompasses the trade-offs and the effects the implementation of AI in work industries will bring. Recognizing how AI will change our workforce will be an important question to answer in the upcoming years of technological innovation, so we decided to tackle it and find a possible answer. By examining the different impacts of AI on employment, we aim to contribute valuable insights that can inform discussions, policies, and strategies for a balanced integration of AI into the future workplace. Our study determines how AI can positively impact the workforce through supplementing productivity, streamlining processes, and creating new employment opportunities. At the same time, we also delve into potential challenges such as job displacement, ethical concerns surrounding AI, and the absence of comprehensive policies. By taking a comprehensive approach to assess the implications of AI on employment, we aim to contribute valuable insights. These insights can inform discussions, shape policies, and guide strategies for a balanced integration of AI into the changing landscape of the future workplace.

Job displacement and reallocation failure. Evidence from climate shocks in Morocco

Abstract We investigate the impact of severe drought shocks in Morocco’s agricultural sector. Using a staggered difference-in-differences design, we estimate that climatic shocks resulted in a job displacement of approximately 6.5 percentage points for workers exposed to severe drought events. Additionally, we observe that, overall, approximately 39 per cent of these workers remained unemployed, leading to a partial reallocation failure. These effects are significant only for severe and extreme shocks, persist for at least 5 years, and are more pronounced among informal and female workers.

The impact of firm downsizing on workers: Evidence from Ethiopia’s ready-made garment industry

We analyze matched employee–employer data from Ethiopia’s largest special economic zone during a period of downsizing pressure from the COVID-19 world import demand shock. We observe substantial job displacement during the shock peak, particularly for new hires. These largely female and rural-to-urban migrants persistently “fall off the employment ladder”, remaining unemployed both within and outside the zone even after employers have recovered from the shock. We observe high levels of urban-centered food insecurity and depression symptoms during the crisis peak, regardless of employment status. Our findings highlight the importance of social protection policies within export-oriented development strategies.