Purpose: This article explores the adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) in the UAE, focusing on the critical challenges of fairness, bias, and privacy in recruitment processes. The study aims to understand how AI is transforming HR practices in the UAE, highlighting the issues of bias and privacy while examining real-world applications of AI in recruitment, employee engagement, talent management, and learning and development. Methodology: Through case study methodology, detailed insights are gathered from these companies to understand real-world applications of AI in HRM. A comparative analysis is conducted, comparing AI-driven HRM practices in UAE-based organizations with international examples to highlight global trends and best practices. Findings: The research reveals that while AI holds significant potential to streamline HR functions such as recruitment, onboarding, performance monitoring, and talent management, it also discusses challenges and strategies companies face and develop in integrating AI into their HRM processes, reflecting the broader context of AI adoption in the UAE’s HR landscape. Originality: This paper contributes to the growing body of literature on AI in HRM by focusing on the unique context of the UAE, a rapidly developing market with a highly diverse workforce. It highlights the specific challenges and opportunities faced by organizations in the UAE when implementing AI in HRM, particularly regarding fairness, bias, and data privacy.

The integration of Big Earth Data and Artificial Intelligence (AI) has revolutionized geological and mineral mapping by delivering enhanced accuracy, efficiency, and scalability in analyzing large-scale remote sensing datasets. This study appraisals the application of advanced AI techniques, including machine learning and deep learning models such as Convolutional Neural Networks (CNNs), to multispectral and hyperspectral data for the identification and classification of geological formations and mineral deposits. The manuscript provides a critical analysis of AI's capabilities, emphasizing its current significance and potential as demonstrated by organizations like NASA in managing complex geospatial datasets. A detailed examination of selected AI methodologies, criteria for case selection, and ethical and social impacts enriches the discussion, addressing gaps in the responsible application of AI in geosciences. The findings highlight notable improvements in detecting complex spatial patterns and subtle spectral signatures, advancing the generation of precise geological maps. Quantitative analyses compare AI-driven approaches with traditional techniques, underscoring their superiority in performance metrics such as accuracy and computational efficiency. The study also proposes solutions to challenges such as data quality, model transparency, and computational demands. By integrating enhanced visual aids and practical case studies, the research underscores its innovations in algorithmic breakthroughs and geospatial data integration. These contributions advance the growing body of knowledge in Big Earth Data and geosciences, setting a foundation for responsible, equitable, and impactful future applications of AI in geological and mineral mapping.

The business world is currently undergoing a significant shift towards sustainability and intelligent automation, which presents both promising prospects and formidable hurdles for business owners. The increasing demand for sustainable goods and services, driven by pressing social and environmental issues, opens doors for entrepreneurs to establish companies that address these concerns. Moreover, automation and technological advancements have revolutionized the operational landscape of firms, providing entrepreneurs with novel opportunities to enhance efficiency and foster creativity. However, thriving in this dynamic environment necessitates a fresh skill set and innovative approaches. Entrepreneurs must actively acquire the requisite technological expertise to leverage the potential of intelligent automation while navigating the intricate legislative and social frameworks surrounding sustainability. Furthermore, they must demonstrate agility and adaptability, adept at pivoting strategies and offerings to align with the evolving business panorama. This study’s exploration of the intersection of automation and entrepreneurship resonates deeply with the principles of sustainability. By dissecting the challenges and strategies entrepreneurs use to embrace automation, the research contributes valuable insights to the ongoing discourse on feasible business practices within the context of burgeoning sustainability. The findings will assist policymakers by providing useful information to cultivate an environment conducive to sustainable, technology-based entrepreneurship.

Ostensibly, theories from the eastern and western worlds have emphasized different aspects of character, while in India, greater importance is attached to character building. We must understand that character building establishes surroundings for the human being with distinct values and virtues persisting inside him. This study attempts to explain the importance of the character merits of young managers in mitigating volatile, uncertain, complex, and ambiguous (VUCA) challenges encountered in a business journey. This scholarly effort, with a framework of being reflective and expressive, attempts to capture empirical and qualitative data, hence presenting a model and explaining the connection between the character of young managers and VUCA. The authors initially mine on what character implies and how it could be plausibly examined. Character, as a manifestation, is qualitatively distinguished as a sum of one’s bent of mind, embracing the brighter part of good qualities and consolidating a frame to capture the countenance of a genuine personality. We must understand that for organisation’s growth and sustainability, it is vital for the human resources department to maintain a training methodology that is systematic and focused on character building.

With society’s continuous development and progress, artificial intelligence (AI) technology is increasingly utilized in higher education, garnering increased attention. The current application of AI in higher education impacts teachers’ instructional methods and students’ learning processes. While acknowledging that AI advancements offers numerous advantages and contribute significantly to societal progress, excessive reliance on AI within education may give rise to various issues, students’ over-dependence on AI can have particularly severe consequences. Although many scholars have recently conducted research on artificial intelligence, there is insufficient analysis of the positive and negative effects on higher education. In this paper, researchers examine the existing literature on AI’s impact on higher education to explore the opportunities and challenges presented by this super technology for teaching and learning in higher educational institutions. To address our research questions, we conducted literature searches using two major databases—Scopus and Web of Science—and we selected articles using the PRISMA method. Findings indicate that AI plays a significant role in enhancing student efficiency in academic tasks and homework; However, when considering this issue from an ethical standpoint, it becomes apparent that excessive use of AI hinders the development of learners’ knowledge systems while also impairing their cognitive abilities due to an over-reliance on artificial technology. Therefore, our research provides essential guidance for stakeholders on the wise use of artificial intelligence technology.