Managing Iot And Mobile Technologies With Innovation Trust And Sustainable Computing
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Managing IoT and Mobile Technologies with Innovation, Trust, and Sustainable Computing
Focused on the latest mobile technologies, this book addresses specific features (such as IoT) and their adoptions that aim to enable excellence in business in Industry 4.0. Furthermore, this book explores how the adoption of these technologies is related to rising concerns about privacy and trusted communication issues that concern management and leaders of business organizations. Managing IoT and Mobile Technologies with Innovation, Trust, and Sustainable Computing not only targets IT experts and drills down on the technical issues but also provides readers from various groups with a well-linked concept about how the latest trends of mobile technologies are closely related to daily living and the workplace at managerial and even individual levels.
Challenges in Large Language Model Development and AI Ethics
The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists.
Metaverse Security Paradigms
As the metaverse rapidly evolves into a virtual realm where digital interactions mirror and sometimes surpass physical reality, ensuring robust security paradigms becomes critical. The complex and interconnected nature of the metaverse begs better exploration into user privacy, cyber threat prevention, and virtual asset integrity. Establishing reliable security frameworks in the metaverse involves identity management, data protection, decentralized governance models, and the mitigation of virtual and augmented reality vulnerabilities. By developing and implementing robust security paradigms, those who use the metaverse can foster trust, promote innovation, and facilitate the safe and sustainable growth of the metaverse ecosystem. Metaverse Security Paradigms addresses the multifaceted security challenges within the metaverse and virtual worlds, while exploring privacy techniques and ethical implications. It delves into the technological, legal, and ethical dimensions of security in virtual environments. This book covers topics such as privacy systems, risk management, and artificial intelligence, and is a useful resource for IT professionals, business owners, computer engineers, security workers, researchers, scientists, and academicians.