Pub Date : 2023-08-18DOI: 10.37497/rev.artif.intell.educ.v4i00.14
Hinaxi. M. Patel
Objective: To examine the impact and potential of Artificial Intelligence (AI) in revolutionizing traditional agricultural practices to meet the increasing global food demand. Method: A comprehensive review of the integration of AI technologies in agriculture, focusing on advancements in crop cultivation, real-time monitoring, harvesting, processing, and marketing. Results: AI has emerged as a pivotal technology in the agricultural sector, addressing challenges such as climate change, population growth, employment concerns, and food safety. Advanced AI-driven systems have been developed to identify crucial factors, including weed detection, yield estimation, crop quality assessment, and other parameters. These innovations have elevated modern agricultural practices, ensuring enhanced productivity and efficiency. Conclusions: AI holds significant promise in reshaping the future of agriculture. Its potential, combined with machine learning capabilities, presents vast opportunities for the sector's growth. However, the full adoption and integration of AI solutions in agriculture remain a challenge, with the sector still being relatively underserved in terms of AI-driven solutions. Implications: The strategic implementation of AI in agriculture is paramount for the sector's future sustainability. While some advancements are evident, there is a pressing need for more predictive solutions tailored to real-world challenges faced by farmers. Embracing AI will not only ensure increased productivity but also the long-term viability of the agricultural sector.
{"title":"The Transformative Role of Artificial Intelligence in Modern Agriculture","authors":"Hinaxi. M. Patel","doi":"10.37497/rev.artif.intell.educ.v4i00.14","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.14","url":null,"abstract":"Objective: To examine the impact and potential of Artificial Intelligence (AI) in revolutionizing traditional agricultural practices to meet the increasing global food demand. \u0000Method: A comprehensive review of the integration of AI technologies in agriculture, focusing on advancements in crop cultivation, real-time monitoring, harvesting, processing, and marketing. \u0000Results: AI has emerged as a pivotal technology in the agricultural sector, addressing challenges such as climate change, population growth, employment concerns, and food safety. Advanced AI-driven systems have been developed to identify crucial factors, including weed detection, yield estimation, crop quality assessment, and other parameters. These innovations have elevated modern agricultural practices, ensuring enhanced productivity and efficiency. \u0000Conclusions: AI holds significant promise in reshaping the future of agriculture. Its potential, combined with machine learning capabilities, presents vast opportunities for the sector's growth. However, the full adoption and integration of AI solutions in agriculture remain a challenge, with the sector still being relatively underserved in terms of AI-driven solutions. \u0000Implications: The strategic implementation of AI in agriculture is paramount for the sector's future sustainability. While some advancements are evident, there is a pressing need for more predictive solutions tailored to real-world challenges faced by farmers. Embracing AI will not only ensure increased productivity but also the long-term viability of the agricultural sector.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.37497/rev.artif.intell.educ.v4i00.11
Pritesh Somani
This short paper deals with the role of Artificial Intelligence in recommending the right set of products to customers especially for the E-Commerce websites. This paper highlights different product recommendation strategies used by business organizations at the same time the challenges faced by them in effective implementation of product recommendation along with the jargons associated with use of product recommendation. It also provides further insights on the actual working methodology behind recommending correct set of products to customers. A few Case studies on best possible use of Artificial Intelligence by different E-Commerce organizations is also presented towards better understanding of recommendations.
{"title":"Emerging role of Artificial Intelligence in Product recommendation","authors":"Pritesh Somani","doi":"10.37497/rev.artif.intell.educ.v4i00.11","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.11","url":null,"abstract":"This short paper deals with the role of Artificial Intelligence in recommending the right set of products to customers especially for the E-Commerce websites. This paper highlights different product recommendation strategies used by business organizations at the same time the challenges faced by them in effective implementation of product recommendation along with the jargons associated with use of product recommendation. It also provides further insights on the actual working methodology behind recommending correct set of products to customers. A few Case studies on best possible use of Artificial Intelligence by different E-Commerce organizations is also presented towards better understanding of recommendations.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123194464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.37497/rev.artif.intell.educ.v4i00.12
Ishita Goyal
Objective: This paper aims to explore the concept of AI as a modern-day Renaissance movement, triggered by the proliferation of the internet and advancements in artificial intelligence technologies. It delves into the transformative impact of AI on human-computer interactions and decision-making processes. Results: O’Leary's (1997) early notion of a Renaissance movement sparked by the internet's ubiquity finds resonance in the emergence of the AI renaissance. AI technologies such as natural language processing, machine learning, heuristic language processing, and neural networks have integrated into intricate networked computing environments. These technologies facilitate the handling, retrieval, and analysis of vast amounts of data available on the World Wide Web. Given the overwhelming volume of data, direct human analysis has become impractical, necessitating AI-driven support for efficient data utilization. In today's competitive and tech-driven landscape, the time available for decision-making has diminished, prompting reliance on intelligent agents and delegating decision-making tasks to these digital surrogates. Conclusions: The contemporary AI renaissance signifies a paradigm shift in human-computer dynamics. The convergence of AI technologies with the internet's vast information landscape has created a symbiotic relationship, redefining traditional computer roles. AI-enabled tools not only manage the deluge of data but also extend decision-making capabilities, optimizing efficiency in an increasingly fast-paced world. This transformative movement transcends conventional computing boundaries and has paved the way for a new era of human-machine interaction.
{"title":"AI Renaissance, artificial intelligence, information overload, human-computer interaction, decision-making","authors":"Ishita Goyal","doi":"10.37497/rev.artif.intell.educ.v4i00.12","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.12","url":null,"abstract":"Objective: This paper aims to explore the concept of AI as a modern-day Renaissance movement, triggered by the proliferation of the internet and advancements in artificial intelligence technologies. It delves into the transformative impact of AI on human-computer interactions and decision-making processes. \u0000Results: O’Leary's (1997) early notion of a Renaissance movement sparked by the internet's ubiquity finds resonance in the emergence of the AI renaissance. AI technologies such as natural language processing, machine learning, heuristic language processing, and neural networks have integrated into intricate networked computing environments. These technologies facilitate the handling, retrieval, and analysis of vast amounts of data available on the World Wide Web. Given the overwhelming volume of data, direct human analysis has become impractical, necessitating AI-driven support for efficient data utilization. In today's competitive and tech-driven landscape, the time available for decision-making has diminished, prompting reliance on intelligent agents and delegating decision-making tasks to these digital surrogates. \u0000Conclusions: The contemporary AI renaissance signifies a paradigm shift in human-computer dynamics. The convergence of AI technologies with the internet's vast information landscape has created a symbiotic relationship, redefining traditional computer roles. AI-enabled tools not only manage the deluge of data but also extend decision-making capabilities, optimizing efficiency in an increasingly fast-paced world. This transformative movement transcends conventional computing boundaries and has paved the way for a new era of human-machine interaction.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.37497/rev.artif.intell.educ.v4i00.10
Punam Rattan
Objective: The objective of this study is to explore the current and potential role of Artificial Intelligence (AI) in the agricultural sector. We aim to analyze the adoption and impact of AI solutions in farming, identify challenges, and discuss the prospects for its future integration. Method: We conducted a comprehensive review of existing literature and ongoing research projects related to AI applications in agriculture. We also examined case studies, technological developments, and AI pioneers in the field. Results: Our analysis reveals that while AI solutions are being researched and applied in agriculture, there is a gap in widespread industry adoption. Large-scale research projects are underway, and some AI applications are available in the market. However, the development of predictive solutions to address real farming challenges is in the early stages. AI's influence extends across various sectors, contributing to the advancement of technologies such as big data, robotics, and the Internet of Things. An illustrative example is the styrofoam container device, which utilizes machine learning and computer vision to detect and categorize "safety occurrences." Although not all-encompassing, this technology gathers significant data, such as driver behavior, speed, and surroundings. IFM's system promptly alerts supervisors to safety breaches, enhancing both safety and productivity. Conclusion: The future of AI in agriculture hinges on the widespread adoption of AI solutions. The agricultural industry remains underserved in terms of AI integration, and the development of predictive solutions is in its early stages. However, AI's impact across sectors underscores its importance. Pioneers like IFM and IBM's patent statistics demonstrate the expanding scope of AI innovation.
{"title":"Cultivating Agricultural Evolution: Revolutionizing Farming Through The Power of AI And Technology","authors":"Punam Rattan","doi":"10.37497/rev.artif.intell.educ.v4i00.10","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.10","url":null,"abstract":"Objective: The objective of this study is to explore the current and potential role of Artificial Intelligence (AI) in the agricultural sector. We aim to analyze the adoption and impact of AI solutions in farming, identify challenges, and discuss the prospects for its future integration. \u0000Method: We conducted a comprehensive review of existing literature and ongoing research projects related to AI applications in agriculture. We also examined case studies, technological developments, and AI pioneers in the field. \u0000Results: Our analysis reveals that while AI solutions are being researched and applied in agriculture, there is a gap in widespread industry adoption. Large-scale research projects are underway, and some AI applications are available in the market. However, the development of predictive solutions to address real farming challenges is in the early stages. AI's influence extends across various sectors, contributing to the advancement of technologies such as big data, robotics, and the Internet of Things. \u0000An illustrative example is the styrofoam container device, which utilizes machine learning and computer vision to detect and categorize \"safety occurrences.\" Although not all-encompassing, this technology gathers significant data, such as driver behavior, speed, and surroundings. IFM's system promptly alerts supervisors to safety breaches, enhancing both safety and productivity. \u0000 Conclusion: The future of AI in agriculture hinges on the widespread adoption of AI solutions. The agricultural industry remains underserved in terms of AI integration, and the development of predictive solutions is in its early stages. However, AI's impact across sectors underscores its importance. Pioneers like IFM and IBM's patent statistics demonstrate the expanding scope of AI innovation.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127428179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.37497/rev.artif.intell.educ.v4i00.8
K. Gowda
Objective: This research delves into the increasing prominence of Artificial Intelligence (AI) in the current economy, particularly in enhancing customer experiences and reshaping traditional approaches across various sectors, including education. Results: With the shift towards online shopping for convenience and customization, AI has emerged as a pivotal tool for businesses. Educational institutions are transitioning from conventional methods, exemplified by Arizona State University's adoption of Alexa to provide students with streamlined institutional information. Furthermore, advancements in AI, supported by fast GPUs and access to vast training data, have enabled innovations like driverless cars, as highlighted by Russell Glenister's insights. The COVID-19 pandemic has further accelerated the demand for AI-driven, no-touch interactions due to the imposed social distancing norms. Conclusions: AI's integration into daily life and the economy is undeniable, paving the way for new industries, consumer devices, job shifts, and more. While the exact ramifications of AI and the Internet of Things remain uncertain, they hold the potential to significantly disrupt and reshape the global economy.
{"title":"Artificial Intelligence in the Modern Economy: Transformations, Applications, and Future Prospects","authors":"K. Gowda","doi":"10.37497/rev.artif.intell.educ.v4i00.8","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8","url":null,"abstract":"Objective: This research delves into the increasing prominence of Artificial Intelligence (AI) in the current economy, particularly in enhancing customer experiences and reshaping traditional approaches across various sectors, including education. \u0000Results: With the shift towards online shopping for convenience and customization, AI has emerged as a pivotal tool for businesses. Educational institutions are transitioning from conventional methods, exemplified by Arizona State University's adoption of Alexa to provide students with streamlined institutional information. Furthermore, advancements in AI, supported by fast GPUs and access to vast training data, have enabled innovations like driverless cars, as highlighted by Russell Glenister's insights. The COVID-19 pandemic has further accelerated the demand for AI-driven, no-touch interactions due to the imposed social distancing norms. \u0000Conclusions: AI's integration into daily life and the economy is undeniable, paving the way for new industries, consumer devices, job shifts, and more. While the exact ramifications of AI and the Internet of Things remain uncertain, they hold the potential to significantly disrupt and reshape the global economy.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125703520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.37497/rev.artif.intell.educ.v4i00.9
Swaty Wadhwa, K. Wadhwa
Objective: The objective of this paper is to investigate the challenges of talent retention within organizations during the COVID-19 pandemic, propose effective solutions, and highlight the significance of Robotic Process Automation (RPA) in addressing the issue of Non-Utilized Talent, a key facet of waste within the Lean framework. Method: To achieve this objective, an in-depth analysis of the contemporary organizational landscape was conducted. This analysis included the examination of trends in talent management, the impact of global integration on hiring and development practices, and the role of technology in reshaping human connections. Furthermore, a study of cultural shifts and technological adaptation during the pandemic was undertaken to provide contextual insights. Results: The investigation revealed that as robots increasingly supplant human labor, organizations are compelled to carefully select and nurture their human resources. Amid the COVID-19 pandemic, unique challenges emerged, influencing talent retention strategies. The paper identifies these challenges and presents a range of innovative solutions tailored to the current circumstances. Moreover, the integration of Robotic Process Automation (RPA) was found to play a crucial role in optimizing resource allocation and mitigating Non-Utilized Talent, thereby fostering operational efficiency. Conclusions: In light of the findings, this paper underscores the indispensability of strategic talent retention in the face of evolving work dynamics. The interplay of technology and humanism in the virtual realm emerged as a driving force in fostering genuine connections, both within and outside organizational boundaries. By embracing tailored solutions and harnessing the potential of RPA, organizations can navigate the complex landscape of talent retention and resource optimization. This study contributes to the discourse on contemporary talent management, offering insights that can guide organizations toward resilience, efficiency, and success in an era of profound transformation.
{"title":"Challenges of Talent Retention and the Role of Robotic Process Automation in the COVID-19 Era: An Analysis of Organizational Strategies and Efficiency Enhancement","authors":"Swaty Wadhwa, K. Wadhwa","doi":"10.37497/rev.artif.intell.educ.v4i00.9","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.educ.v4i00.9","url":null,"abstract":"Objective: The objective of this paper is to investigate the challenges of talent retention within organizations during the COVID-19 pandemic, propose effective solutions, and highlight the significance of Robotic Process Automation (RPA) in addressing the issue of Non-Utilized Talent, a key facet of waste within the Lean framework. \u0000Method: To achieve this objective, an in-depth analysis of the contemporary organizational landscape was conducted. This analysis included the examination of trends in talent management, the impact of global integration on hiring and development practices, and the role of technology in reshaping human connections. Furthermore, a study of cultural shifts and technological adaptation during the pandemic was undertaken to provide contextual insights. \u0000Results: The investigation revealed that as robots increasingly supplant human labor, organizations are compelled to carefully select and nurture their human resources. Amid the COVID-19 pandemic, unique challenges emerged, influencing talent retention strategies. The paper identifies these challenges and presents a range of innovative solutions tailored to the current circumstances. Moreover, the integration of Robotic Process Automation (RPA) was found to play a crucial role in optimizing resource allocation and mitigating Non-Utilized Talent, thereby fostering operational efficiency. \u0000Conclusions: In light of the findings, this paper underscores the indispensability of strategic talent retention in the face of evolving work dynamics. The interplay of technology and humanism in the virtual realm emerged as a driving force in fostering genuine connections, both within and outside organizational boundaries. By embracing tailored solutions and harnessing the potential of RPA, organizations can navigate the complex landscape of talent retention and resource optimization. This study contributes to the discourse on contemporary talent management, offering insights that can guide organizations toward resilience, efficiency, and success in an era of profound transformation.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-15DOI: 10.37497/rev.artif.intell.education.v4i00.7
Parth Gulati, Uma Gulati, Hayri Uygun, Rashmi Gujrati
Objective: The objective of this research paper is to explore the potential of artificial intelligence (AI) in enhancing and fortifying cybersecurity measures. In light of the increasing cyber threats and the limitations of traditional computer security systems, the paper aims to shed light on the concept of AI and its components. The central goal is to demonstrate how AI can be leveraged to improve cybersecurity, focusing on key areas such as machine learning, data mining, in-depth learning, and expert programs. Method: This research paper utilizes a literature review approach to investigate the intersection of artificial intelligence and cybersecurity. It involves analyzing existing scholarly works and studies to understand the challenges posed by evolving cyber threats and the limitations of conventional security systems. The paper identifies various components of AI that have the potential to enhance cybersecurity measures and delineates their applicability in the digital landscape. Results: The analysis of past literature emphasizes the growing significance of adopting artificial intelligence techniques to bolster cybersecurity practices. The results underscore the inadequacies of traditional security systems in predicting and countering the ever-evolving tactics of cyber attackers and terrorists. Through an examination of various AI components, including machine learning, data mining, in-depth learning, and expert programs, the paper demonstrates the potential benefits that these technologies can offer to the field of cybersecurity. Conclusions: In conclusion, this research paper highlights the escalating threats to cybersecurity in the face of rapid technological advancement. The imperative of addressing these challenges through AI becomes evident as traditional security systems prove insufficient. By harnessing the power of artificial intelligence techniques such as machine learning, data mining, in-depth learning, and expert programs, institutions can significantly enhance their cybersecurity capabilities. The paper underscores the need for a paradigm shift towards AI-driven cybersecurity strategies to effectively predict, prevent, and counteract cyber threats in the digital age.
{"title":"Artificial Intelligence In Cyber Security: Rescue Or Challenge","authors":"Parth Gulati, Uma Gulati, Hayri Uygun, Rashmi Gujrati","doi":"10.37497/rev.artif.intell.education.v4i00.7","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.education.v4i00.7","url":null,"abstract":"Objective: The objective of this research paper is to explore the potential of artificial intelligence (AI) in enhancing and fortifying cybersecurity measures. In light of the increasing cyber threats and the limitations of traditional computer security systems, the paper aims to shed light on the concept of AI and its components. The central goal is to demonstrate how AI can be leveraged to improve cybersecurity, focusing on key areas such as machine learning, data mining, in-depth learning, and expert programs. \u0000Method: This research paper utilizes a literature review approach to investigate the intersection of artificial intelligence and cybersecurity. It involves analyzing existing scholarly works and studies to understand the challenges posed by evolving cyber threats and the limitations of conventional security systems. The paper identifies various components of AI that have the potential to enhance cybersecurity measures and delineates their applicability in the digital landscape. \u0000Results: The analysis of past literature emphasizes the growing significance of adopting artificial intelligence techniques to bolster cybersecurity practices. The results underscore the inadequacies of traditional security systems in predicting and countering the ever-evolving tactics of cyber attackers and terrorists. Through an examination of various AI components, including machine learning, data mining, in-depth learning, and expert programs, the paper demonstrates the potential benefits that these technologies can offer to the field of cybersecurity. \u0000Conclusions: In conclusion, this research paper highlights the escalating threats to cybersecurity in the face of rapid technological advancement. The imperative of addressing these challenges through AI becomes evident as traditional security systems prove insufficient. By harnessing the power of artificial intelligence techniques such as machine learning, data mining, in-depth learning, and expert programs, institutions can significantly enhance their cybersecurity capabilities. The paper underscores the need for a paradigm shift towards AI-driven cybersecurity strategies to effectively predict, prevent, and counteract cyber threats in the digital age.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-14DOI: 10.37497/rev.artif.intell.education.v4i00.4
Gurleen Kaur, Rashmi Gujrati, Hayri Uygun
Objective: This study aims to comprehend the current state of integration between artificial intelligence (AI) and the human resources (HR) sector. Specifically, it investigates the implementation of AI in HR, explores the challenges associated with this integration, and examines potential hazards related to data usage, AI's perceived gimmickry, and algorithmic governance. Method: Employing a descriptive research design, this study relies on secondary data as no primary research was conducted. Information was collected from research papers, books, websites, blogs on human resources, and survey reports released by various research groups. Results: The analysis reveals that AI's adoption in the HR sector is still in its early stages despite significant advancements made by start-ups. Challenges stem from various factors, including data complexities, the risk of AI being seen as a mere gimmick, and concerns about algorithmic governance. The multifaceted nature of AI introduces diverse approaches and applications, from algorithms to deep learning and natural language processing. The study also differentiates between strong AI (general intelligence) and weak AI (problem-specific intelligence). The study emphasizes that HR is a pivotal element of any business, directly impacting employee well-being, communication, and productivity. The integration of AI has brought notable improvements by automating low-value HR tasks, freeing resources for strategic work. AI's capacity to analyze vast data volumes rapidly promises enhanced employee experiences across talent management and recruitment. Conclusions: In conclusion, AI's integration into the HR sector is still evolving, with both promise and challenges. The study underscores the need for addressing the complexities of data utilization, avoiding AI's reduction to mere gimmickry, and establishing responsible algorithmic governance. By understanding the nuances of AI integration in HR, organizations can leverage its potential to enhance productivity, communication, and employee experiences.
{"title":"How does AI fit into the Management of Human Resources?","authors":"Gurleen Kaur, Rashmi Gujrati, Hayri Uygun","doi":"10.37497/rev.artif.intell.education.v4i00.4","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.education.v4i00.4","url":null,"abstract":"\u0000 \u0000 \u0000Objective: This study aims to comprehend the current state of integration between artificial intelligence (AI) and the human resources (HR) sector. Specifically, it investigates the implementation of AI in HR, explores the challenges associated with this integration, and examines potential hazards related to data usage, AI's perceived gimmickry, and algorithmic governance. \u0000Method: Employing a descriptive research design, this study relies on secondary data as no primary research was conducted. Information was collected from research papers, books, websites, blogs on human resources, and survey reports released by various research groups. \u0000Results: The analysis reveals that AI's adoption in the HR sector is still in its early stages despite significant advancements made by start-ups. Challenges stem from various factors, including data complexities, the risk of AI being seen as a mere gimmick, and concerns about algorithmic governance. The multifaceted nature of AI introduces diverse approaches and applications, from algorithms to deep learning and natural language processing. The study also differentiates between strong AI (general intelligence) and weak AI (problem-specific intelligence). \u0000The study emphasizes that HR is a pivotal element of any business, directly impacting employee well-being, communication, and productivity. The integration of AI has brought notable improvements by automating low-value HR tasks, freeing resources for strategic work. AI's capacity to analyze vast data volumes rapidly promises enhanced employee experiences across talent management and recruitment. \u0000Conclusions: In conclusion, AI's integration into the HR sector is still evolving, with both promise and challenges. The study underscores the need for addressing the complexities of data utilization, avoiding AI's reduction to mere gimmickry, and establishing responsible algorithmic governance. By understanding the nuances of AI integration in HR, organizations can leverage its potential to enhance productivity, communication, and employee experiences. \u0000 \u0000 \u0000","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-07DOI: 10.37497/rev.artif.intell.education.v4i00.1
Altiéres De Oliveira Silva, Diego dos Santos Janes
Este artigo explora a intersecção da Inteligência Artificial em Educação (AIED) e as preocupações de equidade educacional em um contexto global, com ênfase nas regiões do Sul Global. Abordamos as implicações éticas e práticas da implementação responsável da AIED e seu papel na consecução dos Objetivos de Desenvolvimento Sustentável (ODS) da Agenda 2030. Embora a AIED tenha mostrado avanços promissores, o desafio de alcançar educação inclusiva e de qualidade para todos permanece complexo, especialmente nas regiões em desenvolvimento.
{"title":"Desafios e Oportunidades da Inteligência Artificial em Educação no Contexto Global","authors":"Altiéres De Oliveira Silva, Diego dos Santos Janes","doi":"10.37497/rev.artif.intell.education.v4i00.1","DOIUrl":"https://doi.org/10.37497/rev.artif.intell.education.v4i00.1","url":null,"abstract":"Este artigo explora a intersecção da Inteligência Artificial em Educação (AIED) e as preocupações de equidade educacional em um contexto global, com ênfase nas regiões do Sul Global. Abordamos as implicações éticas e práticas da implementação responsável da AIED e seu papel na consecução dos Objetivos de Desenvolvimento Sustentável (ODS) da Agenda 2030. Embora a AIED tenha mostrado avanços promissores, o desafio de alcançar educação inclusiva e de qualidade para todos permanece complexo, especialmente nas regiões em desenvolvimento.","PeriodicalId":384728,"journal":{"name":"Review of Artificial Intelligence in Education","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125807825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-14DOI: 10.37497/rev.artif.intell.education.v3i00.2
Chunlei Zhang
The requirements of technological advancement, trends in the development of higher education, including the epidemic and other features of the times have prompted the digital transformation of education to become inevitable. Digital transformation can help higher education to create new types of governance capacity and provide quality higher education resources to more students and the public. This article points out that the digital transformation of China’s higher education is characterized by multi-dimensional, multi-level, and multi-regional development, as well as the lack of top-level design and overall planning, and a low level of digital application. Digital governance, digital information platform building and institutional research are key components of the digital transformation. Cooperation between educational administrations, professional societies and universities can accelerate the construction of digital platforms for higher education and enhance the sharing of digital resources. Also, strengthening the research function of institutions to achieve digital strategic goals can help to enhance the practical value of digital transformation in the transformation of higher education.
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