Llm Development And Ai Ethics

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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

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.

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

Responsible Artificial Intelligence

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Author : Virginia Dignum
language : en
Publisher: Springer Nature
Release Date : 2019-11-04

Responsible Artificial Intelligence written by Virginia Dignum and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-04 with Computers categories.

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

The Ethics Of Gemini Ai

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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-04-21

The Ethics Of Gemini Ai written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-21 with Computers categories.

In our rapidly evolving technological landscape, Large Language Models (LLMs) like [Your LLM Name] are generating a lot of buzz. But with great power comes great responsibility, and the ethical implications of LLMs require careful consideration. This comprehensive guide delves into the exciting potential of LLMs to revolutionize industries, from healthcare and education to creative fields. We explore how LLMs can boost efficiency, personalize learning, and even democratize access to information. However, the book doesn't shy away from the challenges. We explore the potential for bias, misinformation, and the impact of LLMs on the future of work. Issues of privacy, security, and the need for transparency in LLM decision-making are also addressed. Moving beyond the technical considerations, the book dives into the broader social and ethical questions surrounding LLMs. It explores the potential impact on social equity, human-computer interaction, and the fight against misinformation. As a roadmap for navigating the ethical landscape of LLMs, the book highlights the roles and responsibilities of various stakeholders, including developers, users, policymakers, and civil society organizations. It emphasizes the importance of collaboration and a shared commitment to ensuring LLMs are developed and used responsibly. Looking towards the future, the book explores ongoing research and development efforts focused on building ethical AI. It offers a hopeful yet cautious outlook on the potential impact of LLMs, emphasizing the need for a human-centered approach that leverages the strengths of both humans and AI. Whether you're a developer, researcher, or simply curious about the future of AI, this book provides a thought-provoking exploration of the ethical considerations surrounding Large Language Models. It equips you with the knowledge to navigate this complex landscape and ensure LLMs are used for good.

Large Language Models For Sustainable Urban Development

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Author : Nitin Liladhar Rane
language : en
Publisher: Springer Nature
Release Date : 2025-07-01

Large Language Models For Sustainable Urban Development written by Nitin Liladhar Rane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.

With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines. Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.

Llms

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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-01

Llms written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.

"LLMs: From Origin to Present and Future Applications" by Ronald Legarski is an authoritative exploration of Large Language Models (LLMs) and their profound impact on artificial intelligence, machine learning, and various industries. This comprehensive guide traces the evolution of LLMs from their early beginnings to their current applications, and looks ahead to their future potential across diverse fields. Drawing on extensive research and industry expertise, Ronald Legarski provides readers with a detailed understanding of how LLMs have developed, the technologies that power them, and the transformative possibilities they offer. This book is an invaluable resource for AI professionals, researchers, and enthusiasts who want to grasp the intricacies of LLMs and their applications in the modern world. Key topics include: The Origins of LLMs: A historical perspective on the development of natural language processing and the key milestones that led to the creation of LLMs. Technological Foundations: An in-depth look at the architecture, data processing, and training techniques that underpin LLMs, including transformer models, tokenization, and attention mechanisms. Current Applications: Exploration of how LLMs are being used today in industries such as healthcare, legal services, education, content creation, and more. Ethical Considerations: A discussion on the ethical challenges and societal impacts of deploying LLMs, including bias, fairness, and the need for responsible AI governance. Future Directions: Insights into the future of LLMs, including their role in emerging technologies, interdisciplinary research, and the potential for creating more advanced AI systems. With clear explanations, practical examples, and forward-thinking perspectives, "LLMs: From Origin to Present and Future Applications" equips readers with the knowledge to navigate the rapidly evolving field of AI. Whether you are a seasoned AI professional, a researcher in the field, or someone with an interest in the future of technology, this book offers a thorough exploration of LLMs and their significance in the digital age. Discover how LLMs are reshaping industries, driving innovation, and what the future holds for these powerful AI models.

Building A Comprehensive Ai Model

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Author : Marc Stanford
language : en
Publisher: NuovoNova Ltd.
Release Date : 2025-02-02

Building A Comprehensive Ai Model written by Marc Stanford and has been published by NuovoNova Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Business & Economics categories.

BUILDING A COMPREHENSIVE AI MODEL is your guide to navigating the exciting and rapidly evolving world of AI development. Whether you're a beginner curious about creating your first AI model, a professional exploring advanced language model techniques, or an enthusiast intrigued by generative AI, this book is designed to equip you with the knowledge and tools you need to succeed. Artificial Intelligence (AI) has become the defining technology of our era, reshaping industries, driving innovation, and transforming the way we interact with the world. From healthcare diagnostics to self-driving cars, AI models lie at the heart of these advancements, solving complex problems and unlocking unprecedented possibilities. Yet, for many, building and understanding AI models can seem daunting. This book is here to change that. Marc Stanford organized the book into four sections, each delving into a specific aspect of AI model development: Section 1: Building Your First AI Model takes you on a beginner-friendly journey into AI. Learn how to define problems, collect and prepare data, choose algorithms, and build practical models for applications in healthcare, finance, natural language processing, and computer vision. Section 2: Building Blocks of LLM explores the creation and fine-tuning of large language models (LLMs). This section provides a deep dive into the world of LLMs, from data collection and preprocessing to architecture design and ethical considerations. It highlights the techniques and frameworks driving modern applications. Section 3: Generative AI Essentials explores the fascinating world of AI-driven creativity. It covers generative models, their applications in the art and content creation industries, and hands-on techniques for building generative AI solutions. Section 4: Autonomous Systems Governance focuses on the critical importance of ethics, accountability, and transparency in AI. With guidance on bias mitigation, regulatory compliance, and governance models, this section ensures that your AI endeavors align with responsible and ethical practices. Each chapter combines practical knowledge, technical insights, and real-world examples to make AI model development accessible and impactful. Whether you’re just starting or seeking to refine your expertise, this book offers a roadmap to mastering AI tools and techniques. The future of AI holds immense promise, but its responsible development depends on us. Stephen Polyak, an American neuroanatomist and neurologist considered one of the most prominent neuroanatomists of the 20th century, once asked, “Before we work on artificial intelligence, why don’t we do something about natural stupidity?” Let this book be your companion in building intelligent systems that solve problems, enhance the world around us, and, while doing so, help us further expand our minds' boundaries. The journey to understanding and harnessing AI’s potential begins now!

Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023

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Author : Kun Ma
language : en
Publisher: Springer Nature
Release Date : 2025-05-03

Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023 written by Kun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-03 with Computers categories.

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR – NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on advanced machine learning including deep learning methods, large language models and its real-world applications.

Towards A Code Of Ethics For Artificial Intelligence

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Author : Paula Boddington
language : en
Publisher: Springer
Release Date : 2017-11-09

Towards A Code Of Ethics For Artificial Intelligence written by Paula Boddington and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-09 with Computers categories.

The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.