Computers

HR 5.0 Integration: Unleashing the Potential of the Digital Twin Revolution encapsulates the transformation of Human Resources (HR) through Digital Twin technology. The book provides numerous practical strategies and case studies for implementing Digital Twin technology to revolutionize organizational efficiency, agility, and competitiveness in the digital age.

Digital Twins, or virtual replicas of physical assets or processes, is a technology which could revolutionize HR practices through real-time monitoring, analysis, and simulation of workforce dynamics, to model employees and their interactions within the organisation. By leveraging data analytics and machine learning, HR 5.0 optimizes talent acquisition, enhances employee engagement, predicts future trends, fosters personalised employee experiences, facilitates skill development, and creates a culture of continuous improvement.

Covering the vast array of technological advancements, from ethical concerns such as data privacy, to case studies of organisational success, the book bridges theory and practice to drive HR innovation into the age of 5.0. Various HR functions such as recruitment, onboarding, learning and development, performance management, and workforce planning can all be rationalised by the creation and implementation of Digital Twins in HR, including AI, Internet of Things, data analytics, and privacy considerations.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.

Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.

Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

In today’s rapidly evolving digital landscape, traditional security frameworks struggle to keep pace with increasingly sophisticated cyber threats. As cybercrime and espionage surge, the need for innovative, predictive solutions has never been more urgent. Machine learning offers a proactive approach to threat detection, responsive security measures, and access management, supporting global peace and justice in alignment with the United Nations’ Sustainable Development Goal 16 (SDG 16).

Security Intelligence and SDG16: Applying Machine Learning for Peaceful and Inclusive Societies presents a timely exploration of how machine learning can enhance security intelligence practices. This edited collection brings together insights from experts worldwide, covering core topics such as advanced threat detection algorithms, predictive risk analytics, and automated access control. Beyond technical applications, the volume delves into the ethical, legal, and social dimensions of AI-driven security, providing a comprehensive framework that aligns security intelligence advancements with the SDG 16 objectives of fostering peaceful, inclusive societies. Addressing the needs of policymakers, cybersecurity professionals, and academic researchers, this collection provides the theoretical knowledge and practical insights essential for building ethical and effective security systems.

Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability provides a comprehensive examination of how AI is transforming environmental conservation and sustainability efforts. This scholarly work delves into cutting-edge AI technologies—such as automation, data analytics, and machine learning—and explores their potential to address pressing environmental challenges. Through in-depth analysis and practical case studies, the book demonstrates how AI can enhance resource management, support sustainable practices, and improve environmental monitoring.

Beyond technical solutions, the authors engage with the ethical considerations and potential risks of deploying AI in environmental contexts. Issues such as fairness, transparency, and accountability in AI systems are explored, along with the need for regulatory frameworks to mitigate negative impacts. An essential resource for researchers, professionals, policymakers, and anyone interested in the intersection of technology and environmental stewardship, this contributed work offers a roadmap for leveraging AI to foster a sustainable future, emphasising the crucial role of advanced technologies in addressing global environmental challenges.

In this era of transition from traditional, people-centric Human Resources (HR) to data-driven and unbiased approaches, this collection not only highlights the revolutionary potential of Artificial Intelligence (AI) but also addresses the challenges and ethical considerations of AI deployment in the workplace.

Impact of Artificial Intelligence on Data-Driven Decision Making in HR for Revolutionizing Organizational Growth explores the transformative role of artificial intelligence in reshaping HR, recruitment, and organisational culture. As AI becomes increasingly embedded in organisational systems, it offers unprecedented opportunities to enhance HR operations—from advanced analytics that predict employee behaviours and trends, to optimising structures that foster innovation and growth.

By providing a comprehensive overview of AI’s impact on HR, this insightful volume offers HR leaders, C-suite executives, organisational strategists, and academics the tools to harness data-driven decision-making for organisational growth in a rapidly changing world.

Discover how the internet’s next evolution is reshaping the world of business. The first of two volumes, Web 3.0 Unleashed: Transforming Experiences with AR, AI, and Immersive Technologies explores the groundbreaking technologies that define Web 3.0—blockchain, decentralized finance (DeFi), augmented reality, and artificial intelligence—and their profound impact on the way businesses innovate, grow, and connect with customers.

Through insightful analysis and real-world examples, this contributed work provides a comprehensive guide to harnessing Web 3.0’s potential. From revolutionising supply chains to reimagining customer engagement, every aspect of business is poised for transformation. Whether you’re a technologist, entrepreneur, executive, academic, or student, this book equips you with the tools, strategies, and knowledge to thrive in the digital economy.

With the rapid advancement of artificial intelligence (AI), new technology is reshaping business landscapes and creating unprecedented opportunities for innovation and growth. Professors Babu George and Ontario Wooden explore the transformative journey of African American entrepreneurs as they navigate the evolving AI era.

Beginning with a conceptual analysis based on firsthand experiences with African American business leaders and supported by the existing literature, George and Wooden trace the historical trajectory of African American entrepreneurship, highlighting the resilience and ingenuity that have long defined this community. They examine critical aspects such as policy frameworks, financial strategies, educational initiatives, and the importance of networking within the AI ecosystem, underscoring the need for inclusive policies and accessible resources to ensure African American entrepreneurs can fully participate in and benefit from the AI revolution.

At the heart of the discussion is AI’s role in bridging socioeconomic divides, equipping African American entrepreneurs with powerful tools to overcome systemic barriers and advance toward economic empowerment. Through micro-case studies, innovative insights, and actionable strategies, the book brings home the hope that digital divides and systemic inequities can be overcome successfully.

AI Empowered concludes with a forward-looking perspective, envisioning a future where African American entrepreneurs lead AI-driven innovation. It calls for a collective effort to support these trailblazers and foster a diverse, dynamic entrepreneurial landscape that reflects the promise of the digital age.

Joining a thriving field of new media, this collective volume authored by global academics features important research by thought leaders within computer-mediated communication (CMC) and social media. Featuring 40 comprehensive chapters of new research that focuses on what is new, relevant, and cutting edge in the areas of CMC and social media, authors critically explore topics ranging from social media theories to civil rights. Divided into three parts, the handbook begins with theory and methods, which sets the foundation for the text and then moves into the applicability of strategy, tactics, and measurement. The final focus is toward the future of CMC and social media and its impact on the study and practice of communication.

Uniquely relating social media communication research to its computer-mediated communication foundation, as well as digital and emerging media trends, this handbook is an indispensable resource whether you're a graduate student or a seasoned practitioner.

The long-standing cultural imperative of augmenting human intellect continues to move ever closer to its full manifestation, described by Marshall McLuhan as an extension of the human nervous system. The escalating blending of immersive technologies with advanced computation has created an emerging domain which increasingly allows socio-technical system makers to produce not only human-computer interactions, but advanced, multi-minded human+computer (H+C) systems. The critical shift toward user immersion within systems of digital information and simulation makes the scale of immersive media's potential impact on human life, culture and well-being unlike that of any previous medium.

In Designing XR, Peter (Zak) Zakrzewski presents H+C immersion as a multi-dimensional design problem - a Research Through Design (RTD) zone which addresses the question of: How can transformative design-thinking-based knowledge system complement the existing human-computer interaction (HCI) invention model to contribute to the creation of more participatory, socially viable, and humane immersive media environments?

The book lays out a proposal for ushering the creation of ecologically sound augmented mind based on two essential tasks. The first involves a framework for the design, implementation, and iteration of purposeful, multi-minded, participatory immersive H+C systems. The second focuses on the extended reality experience (XRX) design practice that rhetorically invites users to actively engage with immersive systems while fully exercising their autonomy and agency based on informed choice.

This book contains an Open Access chapter

The COVID-19 pandemic disrupted economies and society globally. In addressing the crisis, the Internet proved incredibly important in enabling many to shift physical work, education, and social activities online and facilitating the tracking of the progress of the pandemic.

Beyond the Pandemic? is the first edited collection to concentrate on the dynamic and complex relationship between the Internet and the role it played in responding to the pandemic. Covid-19 accelerated the digital economy transformation, changing the way work, education, and social engagement is organized, potentially permanently. The collection of international scholars who contributed to this volume offer insightful perspectives on how the Internet ecosystem responded and was changed as a consequence of Covid-19; the sectoral consequences of shifting activity online that the Internet enabled for many, but not for all; and the implications for regulatory policies.

Given how central digital technologies are to all aspects of business, society, and government, Beyond the Pandemic? is integral to the exploration of the sectoral consequences of the Internet for business managers, policymakers and researchers engaged in planning and study for the digital economy future and planning for future pandemics.

Delving into ChatGPT’s architecture and ability to generate human-like text, chapters go beyond technical explanations, exploring the factors contributing to ChatGPT's widespread adoption and its significance in society and industry. The work showcases how ChatGPT has transformed conversational experiences, revolutionizing customer service, streamlining business processes, and enhancing user engagement across various domains. Authors address the potential pitfalls and ethical concerns associated with ChatGPT. They delve into bias, misinformation, and the potential amplification of harmful content that may arise, as well as revealing insights into responsible AI practices, transparency, and accountability, emphasizing the importance of mitigating these risks and ensuring fairness in AI-driven conversations. Thoroughly examining the impact of ChatGPT on the workforce and the potential for job displacement, the need for upskilling and reskilling, and the importance of balanced integration of human oversight in chatbot interactions, the concept of collaborative human-AI systems is explored, where ChatGPT works alongside humans to enhance conversation quality and foster trust.

The ChatGPT Revolution is essential reading for AI researchers and academics interested in the technical intricacies of ChatGPT, industry professionals in AI and NLP seeking practical insights for real-world applications, and ethics and responsible AI practitioners focusing on mitigating ethical concerns.