Abstract
Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question-how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow-one that needs to take place today.
... Moreover, equity and inclusion policies are crucial to ensure that every student, including individuals with disabilities or from marginalized communities, can access AI-driven educational resources, making certain that no one gets overlooked. Additionally, data privacy policies should create explicit rules regarding data collection, usage, and protection to secure student information and uphold trust in AI applications [8]. Ultimately, policies regarding teacher-AI collaboration ought to promote the incorporation of AI tools in educational settings, while safeguarding human supervision, guaranteeing that AI acts as a supplement instead of a substitute for educators. ...
... Tools enhanced by AI can help teachers tailor instruction, recognize students requiring extra assistance, and simplify classroom management. Future policies ought to emphasize the incorporation of AI-driven teaching assistants to improve teaching effectiveness while preserving the significance of educators [8]. Moreover, it is essential to train educators in effectively utilizing AI tools to fully harness the advantages of AI in the classroom and guarantee that teachers can confidently employ technology to enhance student results. ...
... Finally, fostering global cooperation on AI-based education policies is essential, since AI's impact on education is a worldwide occurrence that goes beyond national boundaries [8]. Nations need to collaborate in order to exchange effective practices, harmonize AI standards, and create ethical guidelines for the incorporation of AI in education. ...
Artificial Intelligence (AI) is revolutionizing the potential of education in its initiatives in personalized learning modules, curriculum designs, evaluation methods, teacher assistance and above all educational management. The rapid deploy-ment of AI-driven technologies demands a proactive approach to education policies, ensuring responsible, fair, and efficient use of AI. Extensive student data is processed by AI systems, enabling adaptive learning models that cater to their learning needs, which in turn optimizes engagement and academic performance. That said, this transition also raises issues in terms of data privacy, cybersecurity, algorithmic bias and the digital divide. This article explores the evolution of AI in education and its impact on learning policies, governance frameworks, accessibility and ethical issues. It ex-amines how AI is influencing the decision-making process in the policymaking of education and relates to the issue of transparency, accountability and equity. In addition, the research stresses mainstream policy recommendations aimed at fostering responsible AI integration, making sure that the students, educators, and educational institutions can benefit from the advantages of AI, without facing its associated issues. By implementing well-defined education policies, governments and institutions can create a framework that promotes innovation around AI, balancing the need for in-novation with the need to protect the integrity and inclusiveness of the education system.
... Key barriers include a persistent skills gap, where workers lack the necessary digital and analytical capabilities to interact effectively with AI systems (Bughin et al., 2018). Additionally, organizational resistance to change, driven by fear of job displacement and mistrust of AI technologies, continues to hinder adoption (West, 2018). Infrastructure limitations, such as unreliable internet connectivity and lack of access to modern hardware, further compound these challenges, especially in underserved areas . ...
... Organizational barriers include limited AI expertise, absence of a clear strategic vision, and fragmented data systems that hinder effective AI integration (Davenport & Ronanki, 2018). From a societal standpoint, fears around job displacement, ethical implications, and distrust in AI-driven decisions contribute to resistance among workers and managers alike (West, 2018). Furthermore, regulatory uncertainty and a lack of standardized frameworks for AI deployment contribute to a cautious approach in both public and private sectors (Crawford & Calo, 2016). ...
... Within organizations, resistance to change remains a persistent obstacle. Employees and management alike may harbor skepticism toward AI due to fears of job loss, unfamiliarity with the technology, or distrust in automated decision-making (West, 2018). Compounding this issue is a widespread lack of AI literacy-many workers do not possess the foundational skills to engage with or understand AI tools, making it difficult to realize the benefits of these technologies (Brynjolfsson & McAfee, 2017). ...
The integration of Artificial Intelligence (AI) into workforce development presents vast opportunities for enhancing productivity, improving decision-making, and fostering innovation. However, the path to effective AI adoption is hindered by numerous barriers, including lack of technical expertise, resistance to change, data privacy concerns, infrastructure limitations, and inadequate policy frameworks. This paper explores these challenges and proposes strategic approaches to overcome them. Through a comprehensive review of existing literature, case studies, and expert interviews, the study identifies critical success factors such as targeted skill development, stakeholder engagement, ethical AI frameworks, and inclusive policies. The findings emphasize the importance of a human-centered approach in aligning AI implementation with workforce needs, ensuring that technological advancements translate into inclusive growth and sustainable development. Introduction: Artificial Intelligence (AI) has emerged as a transformative force in the modern workforce, reshaping how organizations operate, make decisions, and deliver value. Despite its potential to boost productivity, improve operational efficiency, and drive innovation, the widespread adoption of AI in workforce development remains uneven. Many organizations, particularly in developing regions, face significant challenges in integrating AI into their workforce strategies (Brynjolfsson & McAfee, 2017).
... Ancak dijital teknolojilerin etkilerini değerlendirme süreci, devletlerin ulusal güvenlik politikalarına bağlı olarak sınırlıdır. Özellikle siber savaş stratejileri, yapay zekâ destekli diplomasi ve kuantum bilişim tabanlı istihbarat operasyonları gibi alanlarda kamuya açık verilerin kısıtlı olması, ampirik analizlerin kapsamını daraltmaktadır (Choucri, 2021;West, 2021). Bu nedenle çalışma büyük ölçüde akademik literatür, devletlerin strateji belgeleri ve teknoloji şirketlerinin raporları gibi ikincil kaynaklara dayanmaktadır. ...
... Dijital teknolojiler; küresel güvenlik ve diplomasi alanlarında da derin bir dönüşüm oluşturmaktadır. Yapay zekâ destekli karar alma sistemleri, siber savaş doktrinleri ve dezenformasyon kampanyaları uluslararası güvenlik paradigmalarını değiştirmekte; ancak bu tehditlere karşı nasıl bir politika geliştirilmesi gerektiği belirsizliğini korumaktadır (Arquilla & Ronfeldt, 2020;West, 2021). Bu durum devletlerin güvenlik stratejilerini ve diplomatik araçlarını yeniden değerlendirmelerini zorunlu kılmaktadır. ...
... Dijital paralar ve merkeziyetsiz finans sistemleri devletlerin para politikalarını nasıl etkileyecektir? Bu sorular, dijitalleşmenin iktisadi kontrol mekanizmaları üzerindeki uzun vadeli etkilerini tartışmaya açmaktadır (Brynjolfsson & McAfee, 2019;West, 2021). Küresel finansal sistemin geleceği, bu soruların yanıtlarına bağlı olarak şekillenecektir. ...
Siber saldırı,siber saldırı tespiti,makine öğrenmesi, siber saldırı veri seti
... As AI tools become more prevalent, they bring with them complex questions related to governance, transparency, and accountability (Mittelstadt, 2019). Furthermore, many organisations lack the cultural readiness to embrace AIdriven changes, resulting in resistance or misalignment between leadership, staff, and other stakeholders (West, 2018). ...
... Research has shown that this gap in understanding can significantly hinder the success of AI initiatives (West, 2018). When staff members are unclear on how AI will impact their work or how it aligns with the organisation's broader goals, they are less likely to engage with AI tools ...
... Cultural readiness is often an overlooked aspect of AI adoption. While technical implementation and ethical alignment are critical, the success of AI initiatives also depends on the organisation's cultural attitude towards AI-driven change (West, 2018). Many organisations, particularly those replace their jobs or that they will not have the skills needed to engage with new AI tools effectively (Brynjolfsson & McAfee, 2014). ...
The rapid integration of Artificial Intelligence (AI) across sectors necessitates frameworks that assess not only technological adoption but also ethical alignment and cultural readiness. This paper introduces the AI Readiness Prism, a multi-dimensional model developed to address the gaps in existing AI governance frameworks. The Prism evaluates organisations on three critical axes: AI Integration, Ethical and Regulatory Alignment, and Cultural Readiness. It was developed through a combination of qualitative interviews with leaders, employees, educators and students at 27 institutions across private, public, government, and educational sectors, as well as insights from a doctoral study on AI in tertiary education. A thematic analysis of these interviews informed the construction of the Prism, identifying key variables and challenges in AI adoption. The standard questions and associated eight-point Likert scale used in this model captures stakeholder perceptions across these axes, providing organisations with actionable insights into their AI maturity. This paper outlines the development of the AI Readiness Prism, its application in a university pilot study, and the implications for improving AI governance and strategy across sectors. The findings demonstrate that by addressing gaps in stakeholder alignment, ethical governance, and cultural readiness, organisations can better position themselves for sustainable AI adoption.
... However, the rapid pace of AI-driven technological change can overwhelm employees. Continuous learning and organizational support are crucial to help employees adapt, as West (2018) argues. Furthermore, Bessen (2019) emphasizes the importance of designing AI systems that complement, rather than replace, human capabilities, enhancing skill development and productivity through a synergistic partnership between AI and employees. ...
... One significant challenge is the need for continuous learning and adaptation to keep up with rapid technological advancements. Employees must be provided with ongoing training and development opportunities to ensure they can effectively utilize AI technologies and continuously enhance their skills (West, 2018). Moreover, it is crucial to design AI systems that complement human skills rather than replace them. ...
Purpose-The purpose of this study is to investigate the relationship between artificial intelligence (AI) and employee performance in Uganda's healthcare institutions, with a specific focus on exploring the mediating effects of perceived ease of use (PEOU) and skills enhancement. As AI becomes increasingly integrated into healthcare operations, understanding how these factors influence employee performance is crucial for optimizing the implementation of AI technologies.
Design/methodology/approach-A quantitative research design was employed to examine the relationships among AI, PEOU, skills enhancement and employee performance. Data were collected from a sample of 185 healthcare professionals working in Uganda's healthcare institutions through a structured questionnaire. Smart PLS-structural equation modeling (SEM) was used to analyze the data and test the proposed mediation model.
Findings-The results indicate a positive and significant relationship between AI and employee performance. Furthermore, both PEOU and skills enhancement were found to mediate the relationship between AI and employee performance. Specifically, AI was positively related to PEOU, which in turn was positively associated with employee performance. Similarly, AI positively influenced skills enhancement, which also positively impacted employee performance.
Practical implications-The findings of this study suggest that healthcare institutions should focus on enhancing the perceived ease of use of AI technologies and investing in skills development programs to maximize the benefits of AI on employee performance. By designing user-friendly AI systems and providing continuous training, healthcare organizations can improve the effectiveness and efficiency of their workforce. This approach can lead to better patient outcomes and operational efficiencies in the healthcare sector.
Originality/value-This study contributes to the existing literature by integrating the technology acceptance model (TAM) and resource-based view (RBV) theory to explore the mediating roles of PEOU and skills enhancement in the context of AI adoption in healthcare. It provides empirical evidence from Uganda, a developing country context, thereby extending the understanding of AI's impact on employee performance in diverse healthcare settings. The study's findings highlight the critical importance of user perceptions and skill development in the successful implementation of AI technologies.
... As AI adoption increases, understanding how different groups perceive its impact is crucial (Russell & Norvig, 2020). University students, as future professionals, may perceive AI as an opportunity for career growth, while experienced professionals may express concerns about job security, ethical challenges, and AI's decision-making processes (West, 2018). ...
... A strong correlation is identified between AI exposure and confidence levels, with individuals who have used AI tools reporting a higher likelihood of integrating AI into their professional activities (West, 2018). Additionally, findings suggest a generational divide, as younger participants tend to adopt a more optimistic view of AI, whereas older professionals express skepticism (Kaplan & Haenlein, 2020). ...
This study explores how university students and professionals perceive artificial intelligence (AI), focusing on their confidence, concerns, and how AI impacts their fields. With 200 participants from education, medicine, law, and nursing, the results show students are generally more excited and confident about AI’s role in the future, especially for learning and job opportunities. In contrast, professionals express caution—particularly around ethics, job loss, and AI’s reliability in critical areas like healthcare and law. Experience with AI tools boosts confidence across groups. The study suggests that AI training, ethical awareness, and workforce support are key to bridging the perception gap and preparing for a more AI-integrated future.
... As AI adoption increases, understanding how different groups perceive its impact is crucial (Russell & Norvig, 2020). University students, as future professionals, may perceive AI as an opportunity for career growth, while experienced professionals may express concerns about job security, ethical challenges, and AI's decision-making processes (West, 2018). ...
... A strong correlation is identified between AI exposure and confidence levels, with individuals who have used AI tools reporting a higher likelihood of integrating AI into their professional activities (West, 2018). Additionally, findings suggest a generational divide, as younger participants tend to adopt a more optimistic view of AI, whereas older professionals express skepticism (Kaplan & Haenlein, 2020). ...
Abstract
This study explores the concept of culture through the metaphor of an iceberg, contrasting visible and
hidden elements. Rooted in intercultural communication and organizational behavior research, this
framework underscores that deeper cultural values, beliefs, and assumptions—rather than overt
expressions like language or customs—are substantial in shaping behavior. By applying this model to
the demographic of international students in higher education, this analysis emphasizes the challenges
students face against these often unseen cultural differences. Specifically, the document utilizes a mixedmethods approach, incorporating surveys, interviews, and focus groups with approximately 200
international students, to identify key cultural challenges in higher education. Moreover, effective
support systems and institutional strategies promoting intercultural recognition are crucial for fostering
inclusion as well as academic success. This analysis aims to deepen understanding beyond surface-level
observations, providing a foundation for enhancing the experiences of international students in higher
intellectual learning. Potential results include identifying context-specific cultural misunderstandings
and effective assistance strategies, leading to recommendations for enhanced language programs,
mentorship initiatives, in along with culturally sensitive curricula. Ultimately, this study highlights the
importance of addressing both visible and hidden cultural dimensions to create more inclusive and
supportive academic environments for international students.
Key Words: Cross-Cultural Communication, International Students, Higher Education
... As AI adoption increases, understanding how different groups perceive its impact is crucial (Russell & Norvig, 2020). University students, as future professionals, may perceive AI as an opportunity for career growth, while experienced professionals may express concerns about job security, ethical challenges, and AI's decision-making processes (West, 2018). ...
... A strong correlation is identified between AI exposure and confidence levels, with individuals who have used AI tools reporting a higher likelihood of integrating AI into their professional activities (West, 2018). Additionally, findings suggest a generational divide, as younger participants tend to adopt a more optimistic view of AI, whereas older professionals express skepticism (Kaplan & Haenlein, 2020). ...
Abstract
In The Poetics of Space, Gaston Bachelard argues that spaces are physical environments that can serve as repositories of memory, dreams, and psychological depth. Through a phenomenological approach, he justifies how these physical spaces transcend their materiality, become deeply personal and symbolic, and shape our inner worlds as they evoke feelings of security, nostalgia, and creativity. Drawing on the focus on the intimate, emotional, and symbolic significance of spaces perceived and internalised by literary characters, this study situates confined spaces within the framework of genre hybridisation, cultural exchange, and performative aesthetics. By examining spatial motifs as narrative devices and intermedial elements, this paper argues that the physically confined and symbolically resonant environments in the plays under study function as powerful metaphors for convergent yet distinct critiques of identity, class, and gender. These critiques, in turn, reflect and reveal the social, psychological, and existential tensions interrogated by each playwright. To this end, A Doll’s House (1879), The Cherry Orchard (1903), and A Streetcar Named Desire (1947) will be scrutinised to probe the manifestation of spatial claustrophobia, which is born of a fusion of realism, modernism, and symbolism, as a multifaceted dramatic and symbolic element that evolves across diverse cultural and temporal contexts. Ibsen’s use of domestic interiors reflects the social constraints and individual agency that set the stage for psychological realism in selected works. Through the symbolism of rural estates, Chekhov expands upon this motif and bridges the realms of realism and early modernist existentialism, illustrating immobility and unfulfilled desires. Williams transforms these approaches into a distinctly modernist framework, using Southern Gothic spaces to intensify emotional tension and expose the personal and societal fractures. Hence, the study aspires to not only trace the evolution of confined spaces as dynamic tools that generate dramatic tension and profound symbolic meaning but also compare how these playwrights harness these physical backdrops as potent metaphors for the interwoven realms of social, psychological, and existential entrapment.
Keywords: Gaston Bachelard, Modern Drama, Spatial Claustrophobia
... One of such is the adoption and integration of Artificial Intelligence (AI) in the management of SMEs. Artificial Intelligence describes the various smart technologies and systems, that simulate human learning, engaging in analytical decisions and problem-solving activities (West, 2018;Knight, 2019). According to Lee et al (2019), AI facilitates creative and systematic solutions to organisational problems, enabling data integration and the effective coordination of organisational units, processes, and resources. ...
... Soni et al (2019) noted that AI facilitates data and information transfers, increasing insight and knowledge about events, groups, and a variety of factors key to the effectiveness of SMEs. This corroborates West (2018) observation that AI supports learning and the management of information such that enriches both market and business intelligence, driving improvements to both service and product customizations. Such enhances the SME's awareness of their environment, as it can be used to not only generate and maintain data on the prevailing factors that define or shape a particular market or economic context but it can also be used to predict the outcomes of relationships within contexts using trends and historical data (Lee et al, 2019). ...
... Many robotic systems require specialized personnel for operation and maintenance, which adds substantially to the financial burden on organizations. This need for specialized talent further limits adoption, particularly among companies that may already struggle with resource constraints (Huang & Rust, 2018;West, 2018). Additionally, this economic disparity can lead to unequal access to robotics technologies, where only wellfunded entities can afford to implement advanced systems, leaving smaller players at a disadvantage. ...
This study examines the role of robotics in advancing Society 5.0, a model that integrates advanced digital technologies to address societal challenges and promote sustainable growth. Using an exploratory research design, data were gathered via exploratory review, concentrating on robotics applications in healthcare, urban development and environmental sustainability. Relevant literature was retrieved from PubMed and Google Scholar, with a final selection of 15 out of 156 peer-reviewed papers published between 2016 and 2024. In data analysis, we adopted qualitative techniques, managed with NVivo software, to identify the challenges, opportunities and ethical considerations regarding robotics integration. The results revealed that robotics provides enormous opportunities for Society 5.0 by enhancing healthcare services, supporting smart city infrastructure, and sustainable practices. Moreover, this study also identified significant challenges, which include: technical limitations, societal acceptance issues, economic constraints, and ethical concerns around privacy and data security. This study therefore underscores the potential of robotics in shaping a resilient and adaptable Society 5.0, with the aid of a regulatory framework and interdisciplinary collaboration. Keywords: Society 5.0, Robotics, artificial intelligence, Chabot, Smart cities CISDI Journal Reference Format Ogbaga, Ignatius Nwoyibe; Ezeanya, Christiana Uchenna; Igboji, Kingsley Otubo & Nwafor, Chidinma Anulika (2025): Exploring the Roles of Robotics in Shaping Society 5.0: Challenges, Opportunities and Ethical Implications Computing
... Many robotic systems require specialized personnel for operation and maintenance, which adds substantially to the financial burden on organizations. This need for specialized talent further limits adoption, particularly among companies that may already struggle with resource constraints (Huang & Rust, 2018;West, 2018). Additionally, this economic disparity can lead to unequal access to robotics technologies, where only wellfunded entities can afford to implement advanced systems, leaving smaller players at a disadvantage. ...
This study examines the role of robotics in advancing Society 5.0, a model that integrates advanced digital technologies to address societal challenges and promote sustainable growth. Using an exploratory research design, data were gathered via exploratory review, concentrating on robotics applications in healthcare, urban development and environmental sustainability. Relevant literature was retrieved from PubMed and Google Scholar, with a final selection of 15 out of 156 peer-reviewed papers published between 2016 and 2024. In data analysis, we adopted qualitative techniques, managed with NVivo software, to identify the challenges, opportunities and ethical considerations regarding robotics integration. The results revealed that robotics provides enormous opportunities for Society 5.0 by enhancing healthcare services, supporting smart city infrastructure, and sustainable practices. Moreover, this study also identified significant challenges, which include: technical limitations, societal acceptance issues, economic constraints, and ethical concerns around privacy and data security. This study therefore underscores the potential of robotics in shaping a resilient and adaptable Society 5.0, with the aid of a regulatory framework and interdisciplinary collaboration. Keywords: Society 5.0, Robotics, artificial intelligence, Chabot, Smart cities CISDI Journal Reference Format Ogbaga, Ignatius Nwoyibe; Ezeanya, Christiana Uchenna; Igboji, Kingsley Otubo & Nwafor, Chidinma Anulika (2025): Exploring the Roles of Robotics in Shaping Society 5.0: Challenges, Opportunities and Ethical Implications Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 16 No 1, Pp 27-34. A vailable online at www.isteams.net/cisdijournal. dx.doi.org/10.22624/AIMS/CISDI/V16N1P4x
... AI berpotensi mendemokratisasi kreativitas dalam industri media dengan memberikan akses kepada non-ahli terhadap alat untuk menghasilkan konten berkualitas tinggi (Florida, 2012). Perusahaan media digital semakin mengandalkan AI untuk menghasilkan, mengkurasi, dan mempersonalisasi konten bagi audiens mereka (West, 2018). AI mewakili peluang besar bagi perusahaan yang siap berinvestasi dalam solusi jangka panjang yang layak (Dataiku, 2020). ...
The purpose of this study is to explore the application of ChatGPT in increasing efficiency and creativity in the video production process in the media industry. The method used in this study is a qualitative approach with interviews and in-depth observations of the creative team on the Kata Dokter YouTube channel, which has implemented ChatGPT in creating video scripts. Data collected through producer interviews provides an overview of how ChatGPT is used in developing creative ideas and writing scripts. The main argument in this study is that ChatGPT can accelerate the creative process and provide new, relevant ideas. ChatGPT has been shown to reduce script creation time by up to 51%. The results of this study indicate that the application of AI in the creative process has a significant impact in terms of time efficiency and content quality. However, human creativity remains an important factor that cannot be replaced in developing authentic and interesting content. This study concludes that ChatGPT can be a very useful tool in supporting the creative process in the media industry, but collaboration between technology and human creativity is still needed to achieve maximum results.
... Atualmente, a adoção de sistemas com capacidade de aprendizado e adaptação está num momento notável de ubiquidade que, se aproveitado adequadamente, pode entregar grandes resultados dentro dos muitos setores em que estes sistemas se inserem (ARRIETA et al., 2020). A Inteligência Artificial é considerada de fundamental importância para acelerar os avanços futuros no desenvolvimento de uma sociedade mais algorítmica e digital (WEST, 2018 et al. (2017), alguns modelos modernos já superaram as capacidades humanas em várias tarefas e, por isso, têm sido frequentemente utilizados nos mais diversos processos, desde a recomendação de produtos, músicas, filmes e amigos em redes sociais, até a tomada de decisões em áreas críticas, como medicina, mercados financeiros, carros autônomos, planejamento estratégico de governos, bioinformática e sistemas criminais. Entretanto, esses sistemas também chamam a atenção para problemas relacionados à confiança, especialmente quando as decisões envolvem contextos sensíveis, como diagnóstico médico, em que é importante conhecer as razões por trás das decisões (ADADI; BERRADA, 2018). ...
Intelligent systems based on Machine Learning have achieved remarkable performance rates in a wide range of tasks from many domains. However, understanding why an algorithm makes a particular decision is still an open question in the research area. When applied in sensible environments, which may cause an impact on the life and welfare of its users, the learning-based models raise some problems. The complex nature of these methods decision mechanisms makes them the so-called black boxes, from which it is not trivial for humans to understand the logic behind the decision-making process of the models. Furthermore, in some contexts, the reasoning that led a model to provide some specific prediction is more important than the accuracy, thus introducing a trade-off between interpretability and model accuracy. Providing explanations to computer-aided systems decisions can be seen as a way to justify their reliability, besides providing an effective tool for checking and correcting errors previously hidden within learning models, opening up an avenue of possibilities for responsible applications. The eXplainable Artificial Intelligence (XAI) research has proposed a number of approaches in this context, being feature attribution techniques of particular interest due to their ability to characterize the importance of particular features on the model decision. However, the lead solutions in such domain suffer from instability, i.e., distinct explanations may result from each application of the explanation method on the same data instance. In this scenario, this Ph.D. research aims to contribute to Machine Learning explainability by proposing a new XAI method called T-Explainer, a Taylor expansion-based technique that holds a set of desirable properties, such as local accuracy and consistency, while still being stable in its explanations. Finally, the results demonstrate T-Explainers effectiveness through benchmarking experiments and comparisons against state-of-the-art references in feature attribution.
... Financial fraud using AI is also increasing. In 2019, voice cloning was used to impersonate the CEO of a UK energy firm, resulting in a fraudulent transfer of $243,000 (West, 2020 The growing trend deepfake content has been visualized in Figure 3, which outlines the exponential growth of deep fake content from 2018 to 2023. This escalation underscores the urgent need for investment in detection tools, digital literacy, awareness building, and legislative reforms to mitigate the multifaceted risks posed by synthetic media. ...
The rise of artificial intelligence (AI) has brought about significant advances across numerous sectors, yet it has also introduced a host of ethical challenges. Among the most controversial is the use of AI in generating deep fakes-hyper-realistic synthetic media created using deep learning (DL) techniques. This paper investigates the ethical concerns surrounding deep fakes, particularly their use in misinformation, identity theft, political manipulation, and cyber harassment. Employing a qualitative research methodology, including literature review and content analysis, this study explores the mechanisms behind deep fake creation, their real-world implications, and the global efforts underway to detect and mitigate their impact. With statistical evidence, case studies, and scholarly analysis, this paper contributes to a better understanding of how deep fakes compromise trust in digital content and what ethical frameworks can be implemented to counter their misuse.
... Frey and Osborne, using machine learning and Gaussian processes, estimated the likelihood of 702 occupations being computerized in countries like China, India, and the United States [31]. West pointed out that the widespread application of robots and artificial intelligence will create numerous new jobs in fields such as technical support and data analysis [32]. Additionally, technological progress also affects employment quality. ...
Employment is the foundation of social stability and a key factor for economic stability and sustainable development. With the rapid advancement of technology, the impact of technological progress on employment has become a focal point of academic attention. As an emerging industry, the healthcare sector has experienced rapid growth in recent years, driven by the widespread application of scientific and technological innovations. However, at the same time, these advancements have also exerted a significant influence on employment within the healthcare sector. To address this issue, this paper utilizes panel data from publicly listed healthcare firms in the United States between 2013 and 2023. It innovatively measures technological progress through Total Factor Productivity (TFP) and employs a two-way fixed effects model to empirically analyze the impact of technological progress on employment in the healthcare sector from a microeconomic perspective. The findings indicate that a 1% increase in technological progress in the healthcare sector leads to an average 0.116% rise in employment levels. This conclusion remains robust after conducting rigorous robustness checks and addressing endogeneity concerns, with the output effect playing a significant role in this process. Heterogeneity analysis indicates that technological progress significantly promotes employment across various sub-sectors, though the magnitude of this effect varies only slightly among industries. Furthermore, the employment-promoting effect of technological progress is more pronounced in larger firms and those with a higher proportion of fixed assets. Therefore, policies should actively support the improvement of technology levels and management efficiency within the healthcare sector, fully leveraging the potential of technological progress to promote employment, and achieve sustainable development for both the healthcare sector and societal employment.
... The importance of understanding these developments cannot be overemphasized. As AI technologies evolve, they are not just tools but integral parts of decision-making processes, product development, and customer interactions (West, 2018). The researcher believes that failing to study these trends could disadvantage businesses considerably. ...
... These funds finance infrastructure development, public education, and environmental mitigation efforts, underscoring the sector's strategic role beyond hydrocarbons. For energy-producing states such as Texas, North Dakota, and New Mexico, oil and gas taxes constitute a significant share of total budgetary income, often exceeding 20% in high-production periods [3]. ...
... • Technological literacy: West (2018) argues that everyone will need a solid understanding of AI, data, and digital systems to navigate a society saturated with technology. This doesn't mean everyone must be a coder, but basic literacy in how algorithms work, data privacy, and digital collaboration is crucial both for employability in remaining tech-integrated jobs and for informed citizenship (e.g., understanding algorithmic decisions that affect one's life). ...
This review paper examines the emerging field of Post-Labor Economics, which analyzes economic structures and possibilities in a future where technological progress, particularly artificial intelligence, substantially reduces or eliminates the need for human labor. Unlike traditional labor economics, which focuses on employment transformation, Post-Labor Economics begins with the premise that human labor will largely disappear rather than merely shift between sectors. It concludes by assessing these interconnected dimensions to establish a basis for further exploration of a potentially transformative economic shift for humanity, while recognizing varied perspectives on the inevitability and desirability of post-labor futures.
... Primeiro, os dados informados precisam ser representativos e de qualidade, caso o contrário haverá mais erro do que acerto (West, 2018). É necessário sempre questionar quais arquivos judiciais estão sendo fornecidos para a IA, se os arquivos estão na íntegra ou corrompidos e se foram processados de maneira correta (Pinto;Ernesto, 2022). ...
O presente artigo tem como objetivo analisar o uso da inteligência artificial (IA) no âmbito do Direito, especialmente no que diz respeito aos contextos da ética, dos princípios fundamentais e dos limites normativos da tecnologia. A partir de uma abordagem interdisciplinar, discute-se como a IA vem sendo integrada ao sistema jurídico dos tribunais, seja na automação de decisões, seja no auxílio à análise de dados jurídicos. O estudo examina os riscos relacionados à imparcialidade algorítmica, à proteção de dados e à responsabilização por decisões automatizadas. Além disso, procede-se a análise de diretrizes internacionais e nacionais sobre a ética digital, destacando a necessidade de regulamentação transparente, eficaz e voltada à preservação dos direitos fundamentais. O desenvolvimento da IA deve respeitar os princípios constitucionais, como a dignidade da pessoa humana, a legalidade e o devido processo legal, assegurando o uso responsável e justo da tecnologia no contexto jurídico. A metodologia referente ao presente estudo se apresenta como uma pesquisa básica. Quanto aos objetivos, classifica-se como pesquisa exploratória e descritiva. Quanto à abordagem, consiste numa pesquisa qualitativa realizada através de levantamento bibliográfico, sendo, ao longo do estudo, apresentados entendimentos doutrinários e jurisprudenciais especializados na matéria, seguindo-se à necessária reflexão acerca do tema.
... These methods are also susceptible to human error and inconsistencies. The rise of AI technologies has opened new avenues for automating these tasks, introducing efficiency and scalability while minimizing errors (West, 2018). ...
Artificial Intelligence (AI) has increasingly permeated the domain of human resource management, offering advanced automation techniques for employee screening and drug testing. This paper examines the integration of AI-based technologies in these processes, emphasizing their potential to improve accuracy, efficiency, and regulatory compliance. Through detailed analysis, this research explores methodologies, challenges, and future trends in the adoption of AI-driven systems.
... By use of advanced AIdriven talent acquisition systems, recruiting accuracy is improved and biases are lowered, therefore enabling startups to access the greatest talent pool. 31 This connection between HRM and entrepreneurship helps to build flexible and creative teams ready to propel corporate growth and technical innovations. ...
Underdeveloped regions like Nepal face persistent inequalities in
adopting information and communication technologies (ICT) and
artificial intelligence (AI), despite their growing global relevance in
business and higher education. Existing research predominantly
focuses on developed economies, leaving significant gaps in localized
studies addressing policy and infrastructure constraints.
Methodology: This study systematically evaluates AI and ICT adoption
in Nepal using the Technology Integration Efficacy (TIE) framework,
focusing on four dimensions: Infrastructure Quality (IQ), User
Proficiency (UP), Policy Alignment (PA), and Output Efficiency (OE).
Findings: Findings reveal that inadequate infrastructure, skill deficits,
weak policy frameworks, and ethical concerns are major barriers to AI
adoption in Nepal’s higher education sector. Nonetheless,
opportunities exist in AI-driven research, technology-enabled business
models, and predictive analytics applications, particularly in human
resource management.
Conclusions: The study emphasizes the importance of multidisciplinary
research, robust policy development, and sustainable infrastructure
investments to enhance technological integration. Practical
recommendations are provided for policymakers, educators, and
business leaders to ensure ethical and effective AI deployment within
Nepal's socioeconomic context.
Keywords: ICT integration, higher education, technological integration
efficacy (TIE), policy alignment, digital transformation.
... Leading among these is the integration of AI in healthcare and education, which promises significant advancements in these critical sectors (Benton 2016). Other high-priority strategies include fostering AI-driven innovation for social good (West 2018), enhancing AI governance structures (Floridi et al. 2018), investing in AI research and development (Marr 2019), promoting AI literacy and education (Luckin and Holmes 2016), and leveraging AI to improve public services (Gasser and Almeida 2017). These strategies reflect a balanced approach to harnessing AI's benefits while ensuring responsible and equitable implementation. ...
Artificial intelligence (AI) is transforming industries, generating both enthusiasm and concern. While AI-driven innovations enhance productivity, healthcare, and education, significant ethical issues persist, including misinformation, algorithmic bias, and job displacement. This study examines public perceptions of AI by analyzing large-scale social media discourse and integrating sentiment analysis with expert insights via the Delphi method to assess global perspectives. Findings reveal notable differences across socio-economic contexts. In high-income countries, discussions emphasize AI ethics, governance, and automation risks, whereas in low-income regions, economic challenges and accessibility barriers dominate concerns. Public trust in AI is significantly influenced by governance frameworks, transparency in algorithmic decision-making, and regulatory oversight. Recent advancements in AI governance highlight the increasing role of explainable AI (XAI) and algorithmic fairness, alongside regulatory developments tailored to societal needs. Algorithmic nudging has emerged as a tool for guiding user behavior while maintaining autonomy, and research on user sensemaking in fairness and transparency underscores the importance of interpretability tools in fostering trust and acceptance of AI-driven decisions. These insights emphasize the need for adaptive, context-specific policies that ensure ethical AI deployment while mitigating risks. By bridging public sentiment analysis with governance research, this study provides a comprehensive understanding of AI’s societal impact. Findings offer practical implications for policymakers, industry leaders, and researchers, contributing to the development of inclusive, transparent, and accountable AI governance frameworks that align with public expectations.
... Price Waterhouse Coopers' (PWC) 2017 landmark report, "Sizing the Prize," forecasted that AI would inject approximately $15.7 trillion into the global economy by 2030. However, the distribution of AI-generated wealth and power has exhibited significant disparities (West, 2018). Notably, Africa's projected economic growth from AI adoption is negligible, according to PWC's projections. ...
This chapter investigates the legal and ethical frameworks of artificial intelligence (AI) in Ghana, emphasizing how the country can draw upon the EU AI Act 2024 to influence a harmonious AI legal regime. It is argued that the effective regulation of AI in Ghana requires a harmonious legal framework that addresses ethical concerns and human rights, transparency, and accountability. Using a desktop review, it is evident that Ghana's expanding AI landscape requires a well- aligned regulatory
approach that prioritizes human well-being, safety, and dignity. Such a framework ensures that AI technologies respect citizens' rights and enhance public safety. By categorizing AI systems based on risk levels, Ghana can mitigate potential harmful
practices while fostering innovation and trust. Incorporating ethical frameworks into AI governance is vital for effective regulation, as it offers clear guidelines that align with human values. This alignment promotes global cooperation and safeguards human interests in society.
This study examines the changing cyber strategy of China in the Indo-Pacific between 2020 and 2024 through the theory of cyber deterrence as the major analytical framework. Since China is declaring itself a digital power, its strategy of cybersecurity, based on deterrence by denial, punishment, and delegitimization, portrays a transformation of reactive defense into proactive dominance. This change can be seen in some prominent cyber activities like Volt Typhoon, and enactment of cyber regulation like the Cybersecurity Law (2017) and Network Data Security Regulation (2024). This paper aims to examine how China employs cyber capabilities and legal systems to keep away the U.S. influence, and promotes its cyber sovereignty model to regional partners, including Indonesia, Vietnam, and Pakistan, via initiatives, such as the Digital Silk Road. Using the cyber deterrence theory, the paper has illuminated the two-pronged approach by China; its offensive capacity that is enhanced by the AI, quantum computing, and 5G dominance, and the defensive systems that are executed through stringent digital policies. In important findings, it is seen that the cyber posture of China is not only causing a shift in threat perception in the region but is also complicating U.S. led counter measures via AUKUS, the Quad and domestic legislation such as the Secure Equipment Act (2021). These U.S. responses are, however, hampered by disjointed regional interests, asymmetries in technology and lack of multilateral coordination. The paper adds to the academic discussion the application of the deterrence theory to a non-Western authoritarian cyber model and the necessarily imminent construction of coherent and resilient cybersecurity frameworks. It advice the Indo-Pacific stakeholders to focus on strategic cyber diplomacy and collective governance to maintain a digital stability in a competitive geopolitical environment.
The rapid advancement of intelligent systems, driven by the integration of cloud computing, the Industrial Internet of Things (IIoT), big data analytics, and neural networks, is transforming industries and society. These technologies work in synergy to enable real-time data processing, predictive analytics, and automated decision-making, offering unprecedented benefits across sectors such as healthcare, manufacturing, urban planning, and agriculture. Despite their promise, the adoption of intelligent systems presents challenges, including ethical concerns, security vulnerabilities, and interoperability issues. This chapter provides a comprehensive overview of these technologies, explores their integration, highlights real-world applications, and examines trends in their adoption and benefits. The chapter concludes by addressing current challenges and proposing future directions to enhance the scalability, efficiency, and ethical alignment of intelligent systems.
Artificial Intelligence (AI) has become a pivotal driver of organizational efficiency in the Information Technology (IT) sector. This study explores how AI technologies, such as machine learning, robotic process automation, and predictive analytics, streamline operations, improve decision-making, and foster innovation. By leveraging AI as a strategic resource, IT firms can enhance productivity, reduce errors, and optimize workflows. However, challenges like skill gaps, data quality issues, and integration complexities affect AI adoption outcomes. This research adopts a conceptual approach, reviewing existing literature to identify key factors—such as employee engagement, digital maturity, and leadership support—that mediate and moderate AI’s impact on organizational performance. Special focus is given to the Indian IT industry, highlighting its unique digital ecosystem and infrastructural context. The findings provide valuable insights for business leaders and policymakers aiming to implement AI effectively to achieve sustainable competitive advantage and operational excellence in a rapidly evolving technological landscape.
This chapter, “Global Perspectives: Comparison of Labor Union Responses to AI and Automation in Different Countries,” examines how labor unions across the United States, Germany, Japan, South Korea, Brazil, and India respond to the challenges posed by AI and automation. Through comparative analysis, it highlights regional strategies, common goals, and distinct approaches in protecting jobs, promoting reskilling, and advocating for ethical AI use. Emphasizing both shared objectives and unique responses shaped by each country's policies and labor norms, the chapter underscores the importance of proactive union involvement. It concludes with a call for international collaboration to enhance labor protection in an increasingly automated global economy.
Over the past several years, automation and Artificial Intelligence (AI) have advanced rapidly and begun to drive changes in the way that people work. It discusses the heterogeneous influence of these technologies on jobs and stresses that labour unions and education will remain crucial for empowering workers. It starts with the historical background of unions and technological change, focusing on how unions have adapted to protect workers in the shifting industrial context. Next, the authors discuss today's union tactics like bargaining over tech, lobbying in Washington for job-retraining programs and forming partnerships with community colleges to solve skill shortages. This chapter argues that only through pro-active engagement by workers, employers and governments can it hope to ensure equitable outcomes from technological change. Promoting a mindset of lifelong learning and partnership will ultimately be essential for building an adaptable workforce that can succeed in a world with ever-growing technology.
Corporate digital responsibility has emerged as an important framework for ensuring the ethical and responsible use of digital technologies by corporations. As digital transformation accelerates globally, the need for robust legal frameworks to govern corporate behavior in the digital sphere has become increasingly evident. This article examines the legal foundations of corporate digital responsibility, focusing on key areas such as data privacy, algorithmic accountability, cybersecurity, and stakeholder rights. It also explores the role of international standards, national regulations, and corporate governance in shaping corporate digital responsibility practices. By analyzing general legal frameworks, this study highlights the challenges and opportunities in implementing corporate digital responsibility and provides recommendations for policymakers and companies.
This paper explores the dual impact of Artificial Intelligence (AI) on employment, examining both the job creation opportunities and the displacement risks AI brings to labor markets. As AI technologies advance across sectors like manufacturing, healthcare, finance, and services, they create new industries while automating routine tasks. However, the effects on employment are uneven, with high-skilled workers benefiting more than those in low-to-medium-skilled roles, contributing to greater economic inequality. The paper discusses the challenge of skill mismatches between traditional education systems and the evolving needs of the AI-driven economy. It highlights the importance of reskilling and lifelong learning initiatives to address these gaps. The study also reviews government responses to AI’s impact, with proactive policies on digital infrastructure, education, and innovation better positioning countries to capitalize on AI’s potential. Conversely, regions slow to adopt AI risk economic stagnation. The paper presents a framework for understanding AI’s diverse effects on employment and suggests a balanced approach to harness AI’s benefits while ensuring social equity. It concludes with policy recommendations to support a resilient, inclusive workforce capable of thriving in the AI era. Keywords: Artificial Intelligence, Employment Dynamics, Job Creation, Job Displacement, Workforce Skills, Economic Policy, Reskilling Programs, Labor Market Development Trends.
This chapter examines cybersecurity challenges that arise in startup-driven digital governance ecosystems. It explores how limited resources, rapid development cycles, and evolving regulations affect the security of applications that manage citizen data and enable electronic government services. The discussion focuses on strategies to strengthen cybersecurity practices, including a cybersecurity-first approach, regulatory compliance, and collaborative defense models. Emerging technologies such as artificial intelligence, blockchain, zero trust architectures, and privacy-enhancing tools are analyzed for their potential to address vulnerabilities in public-sector solutions.
AI is transforming lesson planning by automating tasks, personalizing learning, and aligning instruction with curriculum standards. Tools like IBM Watson Education, Google Classroom's Explore feature, and Magic School AI analyze student data to generate tailored resources, improving efficiency and engagement. While challenges like data privacy and accessibility exist, AI's benefits in lesson planning are undeniable. By embracing AI, educators can create adaptive, student-centered learning experiences that enhance education.
This study aims to investigate the transformative role of Artificial Intelligence (AI) in personalizing work experiences for gig workers within the textile industry. It investigates how AI technologies can be utilised to deal with the multifaceted issues faced by textile gig workers, like job insecurity, skill stagnation, and limited access to occupational health resources while enhancing overall productivity and well-being. The study aims to critically assess how AI-driven technologies can be leveraged to address the unique difficulties faced by gig workers, including task mismatch, lack of skill development, and absence of occupational health support while also improving productivity, job satisfaction, and economic inclusion within the textile sector. The research adopts a qualitative, conceptual methodology, drawing upon an extensive review of interdisciplinary literature from fields including management studies, artificial intelligence, labour economics, and digital work. Case-based illustrations are utilized to examine current and potential applications of AI in the context of task matching, personalized training, performance monitoring, and health support. The study also critically analyses ethical concerns and structural barriers associated with AI integration in informal labour markets. AI has significant potential to improve the personalization of adaptive learning environments, real-time performance feedback, and health monitoring tools. These capabilities can improve worker satisfaction, reduce inefficiencies, and promote skill development. However, the study also highlights major ethical and implementation challenges, including problems related to job displacement risks, data privacy and algorithmic bias. Successful integration of AI in this sector requires a human-centric, inclusive design approach supported by clear policy frameworks and worker participation.
Trust in science varies globally, influenced by historical marginalization, economic disparity, and sociocultural dissonance. Political polarization, particularly from neo-right-conservatives, exacerbates skepticism towards science, impacting consensus-building and policy rationale. While regional institutions often garner greater trust due to perceived authenticity, the integrity of science communication faces threats from artificial intelligence, necessitating new verification and accountability mechanisms. The framework of the study aims to trace the genesis of denudation of scientific credibility by exploring the interplay between various manifestations of information shared and the veracity of societal perceptions and after careful analysis, proposes a multilayered framework to reestablish trust, particularly in health-related contexts. Key Words: Misinformation and Disinformation, Scientific Literacy, Health Communication, Global Health Governance, Equity in Health Communication
This chapter explores the transformative role of Artificial Intelligence (AI) in reshaping knowledge work and professional services. As AI technologies evolve, they are poised to enhance productivity, streamline workflows, and introduce new methods of decision-making. The chapter examines the opportunities AI presents, particularly in automating routine tasks, augmenting professional roles, and personalizing services. However, challenges such as data quality, resistance to change, and ethical considerations remain significant barriers to successful AI adoption. The impact of AI on job design and professional roles is also explored, highlighting the potential for hybrid roles that combine human expertise with AI capabilities. Finally, strategies for organizations to prepare for an AI-driven future are discussed, including upskilling, ethical frameworks, and the importance of collaboration. By understanding and addressing these factors, organizations can thrive in an AI-driven landscape, unlocking new possibilities for knowledge work and professional services.
Artificial Intelligence (AI) is transforming the field of Human Resources (HR) and mental health support, offering unmatched opportunities to prioritize and enhance employee well-being, engagement, and organizational efficiency. The amalgamation of AI and HR is revolutionizing organizational practices, enhancing both operational efficiency and employee well-being. AI's ability to automate recurring tasks, analyze voluminous datasets, and provide real-time insights is introducing new paradigms of mental health interventions. Witnessing the trend, it is worthwhile to explore how AI-driven tools are streamlining HR functions, reducing bias, personalizing employee experiences, and offering timely mental health support. Hither-to this revolution, there are also mounting speculations regarding the ethical considerations surrounding data privacy, fairness, and the risk of over-reliance on AI in sensitive areas. On this background, this research study explores the revolutionary potential of AI across various HR functions while examining its role in personalized mental health support.
This chapter explores the transformative impact of Artificial Intelligence (AI) on traditional outsourcing models, highlighting both the disruption and opportunities AI presents for the outsourcing industry. As AI technologies automate routine tasks and enable data-driven decision-making, outsourcing providers are evolving from cost-centric service providers to strategic partners in digital transformation. The chapter examines how AI-driven models, such as automation, predictive analytics, and machine learning, are reshaping outsourcing functions, offering businesses greater efficiency, innovation, and customization. However, the shift to AI-powered outsourcing also introduces challenges related to workforce displacement, ethical concerns, and the need for new governance frameworks. The future of outsourcing will depend on the ability of providers to adapt to AI technologies, upskill their workforce, and address the social and regulatory implications of AI adoption.
Quadruped robots have emerged as a prominent field of research due to their exceptional mobility and adaptability in complex terrains. This paper presents an overview of quadruped robots, encompassing their design principles, control mechanisms, perception systems, and applications across various industries. We review the historical evolution and technological milestones that have shaped quadruped robotics. To understand their impact on performance and functionality, key aspects of mechanical design are analyzed, including leg configurations, actuation systems, and material selection. Control strategies for locomotion, balance, and navigation are all examined, highlighting the integration of artificial intelligence and machine learning to enhance adaptability and autonomy. This review also explores perception and sensing technologies that enable environmental interaction and decision-making capabilities. Furthermore, we systematically examine the diverse applications of quadruped robots in sectors including the military, search and rescue, industrial inspection, agriculture, and entertainment. Finally, we address challenges and limitations, including technical hurdles, ethical considerations, and regulatory issues, and propose future research directions to advance the field. By structuring this review as a systematic study, we ensure clarity and a comprehensive understanding of the domain, making it a valuable resource for researchers and engineers in quadruped robotics.
This article explores the development of cultural identities on digital platforms and the influence of these identities on political and social interactions. This analysis centers on the impact of digital revolution on cultural diversity and the creation of online identity politics. Online platforms enable individuals to express and reinforce their cultural identities, but they can also facilitate cultural conflicts. The article examines the political and social consequences of the development of cultural identities on the internet and explores topics such as safeguarding or stifling diversity. Hence, comprehending the impacts of digital transformation on cultural identities is a substantial challenge and potential for political decision-makers. This article seeks to enhance comprehension of cultural identities and politics on online platforms within political and social contexts.
Siyasi parti örgütlerinin içsel yapısını ve bu örgütlerin üyelerinin psikolojik dinamiklerini anlamaya yönelik kapsamlı bir inceleme sunmaktır. Demokratik süreçlerin vazgeçilmez birer aktörü olan siyasi parti örgütleri, toplumun farklı kesimlerini temsil ederek politikaların belirlenmesinde ve uygulanmasında etkili bir rol oynamaktadır. Siyasi bilim, psikoloji ve sosyoloji disiplinlerini bir araya getirerek siyasi parti örgütlerinin içsel dinamiklerini daha iyi anlamak ve bu anlayışı politika yapımında ve parti yönetiminde kullanışlı stratejilere dönüştürmektir. Siyasi parti örgütlerinin iç dinamiklerini, liderlik yapılarını ve üye motivasyonlarını anlamak adına değerli bir iç görüdür.
Engineering and technology have continuously evolved, shaping human civilization and driving industrial progress. As we enter an era marked by artificial intelligence, automation, sustainable energy solutions, and space exploration, it becomes imperative to analyze how these advancements impact society, industries, and the environment. This paper explores emerging trends in engineering and technology, focusing on innovations such as quantum computing, smart manufacturing, and green energy. It also addresses key challenges, including ethical dilemmas, cybersecurity threats, and the digital divide. The study further delves into interdisciplinary collaborations and the role of government regulations in fostering technological development. Finally, the paper discusses potential future developments, proposing strategies for sustainable and inclusive technological growth.
This research paper investigates the potential of Artificial Intelligence (AI) to revolutionize remote work management. By automating routine tasks, enhancing communication, and providing data-driven insights, AI can significantly improve efficiency, productivity, and decision-making within remote teams. However, the successful integration of AI requires a delicate balance between automation and the essential human touch. This paper explores the benefits and challenges of AI in remote work management, examines the ethical implications, and provides strategies for striking the right equilibrium. Through a comprehensive analysis of existing research and case studies, this paper concludes that AI can be a powerful tool for managing remote work, but only when used in conjunction with human expertise and a focus on ethical considerations
This chapter explores the significant ways artificial intelligence (AI) is changing the nature of work in the Age of AI: Navigating Employment, Automation, and Ethics. It looks at how sectors are changing as a result of AI-driven automation, which is replacing certain jobs with new ones, especially those that need repetitive work. The chapter emphasizes the necessity of reskilling and upskilling in order to adjust to these changes by looking at case studies from industries like manufacturing, healthcare, and finance. It is stressed that ethical factors, such as bias, accountability, and transparency, are essential to creating responsible AI systems. The chapter also draws parallels with previous industrial revolutions to provide historical context, underscoring the ongoing impact of technological change on labor markets. In the end, it provides a fair assessment of AI's potential and promotes laws that promote inclusivity, fairness, and continuous learning in an AI-driven world.
This report is prepared for the purpose of sharing google analytics knowledge by incorporating a real time report from an online shopping website called google merchandising store. We can get real time data and analyze that data to get insights before taking a decision. An online store called the Google Merchandise Store offers products bearing the Google logo. The ecommerce site hosts both Universal Analytics and Google Analytics 4 properties. The web address for google merchandise store is https://shop.googlemerchandisestore.com/ The main objective of this project is to get used to and analyze any ecommerce website, here we took one example i.e., google merchandising store. The reason I choose this website is that google has kept the data specifically for this website free to access. The integration between this website and google analytics were already set up by default. After studying this report, we would be able to understand how google analytics work, how reports are being prepared, the importance of google analytics, what are the web analytics, how these web analytics are tracked and lastly the benefits of web analytics.
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