Challenges In Large Language Model Development And Ai Ethics
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Challenges In Large Language Model Development And Ai Ethics
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Author : Gupta, Brij
language : en
Publisher: IGI Global
Release Date : 2024-08-15
Challenges In Large Language Model Development And Ai Ethics written by Gupta, Brij and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with Computers categories.
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.
Revolutionizing Cybersecurity With Deep Learning And Large Language Models
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Revolutionizing Cybersecurity With Deep Learning And Large Language Models written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Artificial Intelligence For A Better Future
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Author : Bernd Carsten Stahl
language : en
Publisher: Springer Nature
Release Date : 2021-03-17
Artificial Intelligence For A Better Future written by Bernd Carsten Stahl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Computers categories.
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Humans And Generative Ai Tools For Collaborative Intelligence
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Author : Zhao, Jingyuan
language : en
Publisher: IGI Global
Release Date : 2025-06-11
Humans And Generative Ai Tools For Collaborative Intelligence written by Zhao, Jingyuan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
The relationship between humans and generative AI tools creates a new era of collaborative intelligence, where human creativity, critical thinking, and empathy merge with the speed, scale, and precision of artificial intelligence. Rather than replacing human roles, generative AI systems help with problem-solving, ideation, and decision-making across diverse fields such as education, healthcare, design, and business. This enables individuals and organizations to reveal deeper insights, accelerate innovation, and tackle complex challenges with enhanced efficiency. As these technologies advance, the focus is shifting toward fostering ethical, inclusive, and human-centered collaborations that amplify collective intelligence rather than diminish it. Humans and Generative AI Tools for Collaborative Intelligence explores recent advancements in collaborative intelligence of humans and generative AI tools, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies and applications to advance industries and organizations. It develops guidelines to help industries and organizations achieve the collaborative intelligence of humans and generative AI tools and put the power of collaborative intelligence to work. This book covers topics such as digital technology, robotics, and deep learning models, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Transforming Education With Ai Powered Personalized Learning
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Author : Chemingui, Houssem
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Transforming Education With Ai Powered Personalized Learning written by Chemingui, Houssem and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Education categories.
The rapid advancement of artificial intelligence (AI) revolutionizes many educational sectors. By harnessing the power of AI, educators can create highly personalized learning experiences catered to individual needs, strengths, and learning styles. AI-powered tools analyze data, enabling real-time lesson plan, assessment, and resource adjustments, which ensures students receive timely support. This shift toward personalized learning has the potential to enhance student engagement and academic outcomes while making education more accessible, equitable, and efficient. Transforming Education With AI-Powered Personalized Learning explores the intersection of generative AI and education, focusing on how advanced AI techniques such as generative models, neural networks, and natural language processing are transforming educational practices. It delves into various applications, including personalized learning experiences, automated content creation, intelligent tutoring systems, and adaptive assessments. This book covers topics such as literacy, blockchain, and data analytics, and is a useful resource for computer engineers, educators, academicians, researchers, and scientists.
Chatbots In Educational Leadership And Management
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Author : Musundire, Austin
language : en
Publisher: IGI Global
Release Date : 2025-03-05
Chatbots In Educational Leadership And Management written by Musundire, Austin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Education categories.
The dawn of the digital age has brought forth a remarkable transformation in the field of educational leadership and management, catalyzed by the emergence of chatbots. This evolution has been underpinned by a confluence of technological advancements and a growing recognition of the need for efficient administrative solutions. As a result, it has led to their widespread adoption in educational institutions, where they have proven to be instrumental in streamlining administrative tasks, enhancing communication channels, and even offering personalized support to students and staff. Furthermore, the emergence of chatbots in educational leadership has not only revolutionized administrative processes but has also spurred innovation in pedagogical approaches. Chatbots in Educational Leadership and Management explores the genesis and evolution of Chatbots within the realm of educational leadership and management, tracing their trajectory from humble beginnings to their current role as influential agents of change. The book bridges the gap between academic inquiry and practical implementation, facilitating a holistic exploration of chatbots' transformative potential in the educational leadership and management landscape. Covering topics such as curriculum management, leadership support, and strategic planning, this book is an excellent resource for educators, school administrators, school principals, leaders, professionals, researchers, scholars, academicians, and more.
Intermediate Python And Large Language Models
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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2025-06-27
Intermediate Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.
Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain. This book provides a hands-on approach to understanding, implementing, and deploying LLM-powered solutions, equipping developers, data scientists, and AI enthusiasts with the tools to create real-world AI applications. The journey begins with an introduction to LangChain, covering its core concepts, integration with Python, and essential components such as prompt engineering, memory management, and retrieval-augmented generation (RAG). As you progress, you’ll explore advanced AI workflows, including multi-agent architectures, fine-tuning strategies, and optimization techniques to maximize LLM efficiency. The book also takes a deep dive into practical applications of LLMs, guiding you through the development of intelligent chatbots, document retrieval systems, content generation pipelines, and AI-driven automation tools. You’ll learn how to leverage APIs, integrate LLMs into web and mobile platforms, and optimize large-scale deployments while addressing key challenges such as inference latency, cost efficiency, and ethical considerations. By the end of the book, you’ll have gained a solid understanding of LLM architectures, hands-on experience with LangChain, and the expertise to build scalable AI applications that redefine human-computer interaction. What You Will Learn Understand the fundamentals of LangChain and Python for LLM development Know advanced AI workflows, including fine-tuning and memory management Build AI-powered applications such as chatbots, retrieval systems, and automation tools Know deployment strategies and performance optimization for real-world use Use best practices for scalability, security, and responsible AI implementation Unlock the full potential of LLMs and take your AI development skills to the next level Who This Book Is For Software engineers and Python developers interested in learning the foundations of LLMs and building advanced modern LLM applications for various tasks
Effective Instructional Design Informed By Ai
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Author : Gregory, Scott
language : en
Publisher: IGI Global
Release Date : 2025-02-06
Effective Instructional Design Informed By Ai written by Gregory, Scott and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Education categories.
The integration of AI into education is reshaping how students learn, and educators teach, offering unprecedented opportunities for personalization and engagement. As AI tools become more advanced and widespread, addressing their ethical, societal, and pedagogical implications is essential to ensure equitable and responsible use. Establishing clear frameworks and models helps mitigate risks, fostering environments where AI enhances learning rather than creating disparities. By critically examining AI’s role in education, society can harness its potential to bridge gaps, expand access, and cultivate innovative learning experiences. This exploration paves the way for a more thoughtful and inclusive approach to AI adoption in educational settings. Effective Instructional Design Informed by AI identifies the latest empirical, conceptual, theoretical, and ethical research on providing AI-situated classroom strategies. Challenges pertaining to the ethical, societal, and disparate impact potential of AI are addressed to assist teachers and administrators in making decisions that address these concerns. Covering topics such as learning assessments, ChatGPT, and special education, this book is an excellent resource for teachers, administrators, higher education professionals, computer scientists, professionals, scholars, academicians, and more.
Llm Development And Ai Ethics
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Author : Ambuj Agrawal
language : en
Publisher: BPB Publications
Release Date : 2025-03-23
Llm Development And Ai Ethics written by Ambuj Agrawal and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Computers categories.
DESCRIPTION The rapid evolution of AI, especially generative AI, presents both opportunities and critical challenges. This book addresses the urgent need for responsible AI development, focusing on safety, alignment, and robust governance. We explore how to navigate the complexities of AI, ensuring its benefits are harnessed while mitigating potential risks. This book will cover the foundational concepts of AI, from ML to the cutting-edge of large language models (LLMs) and prompt engineering. Each chapter provides key insights into AI safety initiatives, governance frameworks, and the practical development of secure AI applications. You will learn how to approach AI with an ethical mindset, understanding the importance of interpretability, risk management, and the societal implications of AI advancements, all the way to contemplating the future of artificial general intelligence (AGI). Upon completing this book, you will possess a comprehensive understanding of AI's current state and future trajectories. You will gain the knowledge to contribute to the responsible development and deployment of AI technologies, ready to engage in the crucial conversations shaping our AI-driven world. WHAT YOU WILL LEARN ● Create generative AI applications for text, music, image, and video generation. ● Develop ML models and LLMs from scratch. ● Work towards advancing the field of AI safety and alignment. ● Build AI applications with AI governance and security. ● Create AI governance frameworks for your organizations. ● Develop better prompts for generative AI models using the prompt engineering techniques mentioned in the book. ● Build AI agents for workflow automation. ● Understand the latest trend in generative AI research and the current progress towards AGI. WHO THIS BOOK IS FOR This book is intended for technologists, researchers, business leaders, and AI enthusiasts. Even people with no technical knowledge can use the techniques described in this book to create generative AI applications for a variety of use cases in their organizations. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence 2. Introduction to AI Safety and Alignment 3. Introduction to Generative AI 4. Developing Large Language Models 5. Prompt Engineering and Its Impact on AI Safety 6. AI Governance in the Age of Generative AI 7. Developing Generative AI Applications with Governance and Security 8. Towards Artificial General Intelligence