Responsible Implementations Of Generative Ai For Multidisciplinary Use
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Responsible Implementations Of Generative Ai For Multidisciplinary Use
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Author : Loveleen Gaur
language : en
Publisher:
Release Date : 2024
Responsible Implementations Of Generative Ai For Multidisciplinary Use written by Loveleen Gaur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Responsible Implementations Of Generative Ai For Multidisciplinary Use
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Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2024-09-18
Responsible Implementations Of Generative Ai For Multidisciplinary Use written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.
Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.
Leveraging Vanets And Blockchain Technology For Urban Mobility
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Leveraging Vanets And Blockchain Technology For Urban Mobility written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Technology & Engineering categories.
The integration of Vehicular Ad-hoc Networks (VANETs) with blockchain technology emerges as a transformative approach to enhancing urban mobility, offering new solutions to the challenges of traffic management, vehicle safety, and data security in smart cities. VANETs enable real-time communication between vehicles and infrastructure, creating a dynamic network to optimize traffic flow, reduce congestion, and improve safety by enabling autonomous vehicle interaction and instant data exchange. When combined with blockchain technology, this network gains a layer of decentralization and security, ensuring data shared between vehicles, traffic signals, and other urban systems remains tamper-proof and transparent. Blockchain also facilitates secure and efficient transactions, like toll payments or car-sharing services, and maintains a record of vehicle data, including maintenance history or driving patterns, offering new opportunities for vehicle lifecycle management, insurance claims, and regulatory compliance. Together, VANETs and blockchain could revolutionize urban mobility by creating a more efficient, secure, and sustainable transportation ecosystem, driving the development of smarter, safer cities. Leveraging VANETs and Blockchain Technology for Urban Mobility explores the capabilities of VANET and blockchain technology to create a new intelligent urban transportation architecture. It examines how transportation and infrastructure engineers can create secure, efficient, and safe urban mobility. This book covers topics such as smart cities, sustainability, and waste management, and is a useful resource for civil and mechanical engineers, urban developers, business owners, academicians, researchers, and data scientists.
Proceedings Of The International Conference On Recent Advancement And Modernization In Sustainable Intelligent Technologies Applications Ramsita 2025
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Author : Shilpa Bhalerao
language : en
Publisher: Springer Nature
Release Date : 2025-05-25
Proceedings Of The International Conference On Recent Advancement And Modernization In Sustainable Intelligent Technologies Applications Ramsita 2025 written by Shilpa Bhalerao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-25 with Computers categories.
This is an open access book. The International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA – 2025) proudly stands as the pioneering international conference, in collaboration with Springer Nature. The conference serves as a premier platform uniting dynamic researchers, esteemed academicians and industry professionals to explore the latest advancements in sustainable intelligent technologies & applications. Our mission is to encourage sustainable and innovative solutions in the interdisciplinary field of science, engineering and technology. The conference promotes ethical technology development by providing vibrant hub where ideas converge and innovation flourishes, laying the groundwork for a more sustainable and intelligent future.
Navigating Ai And The Metaverse In Scientific Research
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Author : Al Aqad, Mohammed H.
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Navigating Ai And The Metaverse In Scientific Research written by Al Aqad, Mohammed H. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Science categories.
The rapid advancements in artificial intelligence (AI) and the emergence of the metaverse have transformed various fields of research, offering unprecedented opportunities for innovation, collaboration, and exploration. These technologies have enabled researchers to simulate complex phenomena, analyze large datasets with precision, and create immersive environments for experimental studies. As AI algorithms continue to evolve and the metaverse becomes more accessible, the scientific community is poised to leverage these tools to push the boundaries of traditional research methodologies. However, this paradigm shift also introduces new challenges, including ethical concerns, data security, and the need for interdisciplinary expertise. Navigating AI and the Metaverse in Scientific Research raises questions about data privacy, algorithmic bias, and the ethical implications of automated decision-making. It explores how AI and the metaverse can be leveraged for research and development in various sectors and assesses the implications of these technologies on research ethics, education, and public policy. Covering topics such as academic standards, personalized learning experiences, and research integrity, this book is an excellent resource for industry practitioners, policymakers, educators, professionals, researchers, scholars, academicians, and more.
Forensic Intelligence And Deep Learning Solutions In Crime Investigation
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Author : Kaunert, Christian
language : en
Publisher: IGI Global
Release Date : 2025-02-28
Forensic Intelligence And Deep Learning Solutions In Crime Investigation written by Kaunert, Christian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
The massive advancement in various sectors of technology including forensic science is no exception. Integration of deep learning (DL) and artificial intelligence (AI) in forensic intelligence plays a vital role in the transformational shift in the effective approach towards the investigation of crimes and solving criminal investigations with foolproof evidence. As crimes grow increasingly sophisticated, traditional investigative tactics may be inadequate to grapple with the complexities of transnational criminal organizations. DL uses scientific tools for the recognition of patterns, image and speech analysis, and predictive modeling among others which are necessary to help solve crimes. By studying fingerprints, behavioral profiling, and DNA in digital forensics, AI powered tools provide observations that were inconceivable before now. Forensic Intelligence and Deep Learning Solutions in Crime Investigation discusses the numerous potential applications of deep learning and AI in forensic science. It explores how deep learning algorithms and AI technologies transform the role that forensic scientists and investigators play by enabling them to efficiently process and analyze vast amounts of data with very high accuracy in a short duration. Covering topics such as forensic ballistics, evidence processing, and crime scene analysis, this book is an excellent resource for forensic scientists, investigators, law enforcement, criminal justice professionals, computer scientists, legal professionals, policy makers, professionals, researchers, scholars, academicians, and more.
Revolutionizing Hospitality Management Systems With Ai Vr And Machine Learning
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Author : Birdir, Kemal
language : en
Publisher: IGI Global
Release Date : 2025-05-14
Revolutionizing Hospitality Management Systems With Ai Vr And Machine Learning written by Birdir, Kemal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Business & Economics categories.
The hospitality industry is experiencing transformative shifts with the integration of cutting-edge technologies like artificial intelligence (AI), virtual reality (VR), and machine learning (ML). These innovations enhance hospitality management, from personalized customer service and efficient booking systems to immersive guest experiences and predictive analytics. AI-powered chatbots and virtual assistants streamline communication and service delivery, while machine learning algorithms analyze guest data to predict preferences and optimize operations. VR offers virtual tours that elevate marketing and planning experiences for customers. Together, these technologies may improve efficiency while redefining guest satisfaction standards and operational excellence. Revolutionizing Hospitality Management Systems With AI, VR, and Machine Learning explores how hospitality management technology affects business and organizations. It examines how to use these technologies to strengthen business strategic positions against competitors. This book covers topics such as digital technology, gastronomy, and management science, and is a useful resource for business owners, engineers, managers, academicians, researchers, and data scientists.
Explainable And Responsible Artificial Intelligence In Healthcare
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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01
Explainable And Responsible Artificial Intelligence In Healthcare written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Computers categories.
This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes. This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes. Readers will find the book: explains recent XAI and RAI breakthroughs in the healthcare system; discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis; covers the latest developments and applications of XAI and RAI-based disease management applications; demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future. Audience The main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.
Building Trust In The Generative Artificial Intelligence Era
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Author : Joanna Paliszkiewicz
language : en
Publisher: Taylor & Francis
Release Date : 2025-06-27
Building Trust In The Generative Artificial Intelligence Era written by Joanna Paliszkiewicz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Business & Economics categories.
In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic. This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems. By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems.
Revolutionizing Healthcare Services
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Author : Babita Singla
language : en
Publisher: CRC Press
Release Date : 2025-06-10
Revolutionizing Healthcare Services written by Babita Singla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Technology & Engineering categories.
The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem. Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs. This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.