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Catalogue complet

Artificial Intelligence for Legal System

Jurisprudence in the Digital Age

1. Artificial Intelligence in the Realm of Justice: Revisit to the Jurisprudential Notions of Justice 2. Safeguarding Personal Data and Privacy (PDP) in The Era of Artificial Intelligence (Ai) Through The Human Rights Lens: Exploring Legal Hurdles And Policy Implications 3. Liability in the Age of AI: Perspectives on Criminal and Civil Responsibility for AI-Induced Harm 4. Constitutional Echoes in the Age of Artificial Intelligence: Bridging Literature, Law, and Technology 5. Enhancing Legal Research Engagement with ChatGPT: An AI Tool Perspective 6. Responsible Application of Artificial Intelligence in the State: The Case of Chile 7. Uncover the Potential of Artificial Intelligence in Legal System Flaking Crime Prevention: Breakthrough New Tools for Law Enforcement in the Digital- Futuristic Arena 8. The Watchful Eye: Exploring Artificial Intelligence as the Contemporary Panopticon in the Criminal Justice System 9. A Small But Digital Step in Cross-Border Judicial Cooperation of EU Member States 10. A Few Critical People to Handle the Truth: AI, Hallucinations and the Labour of Law Clerks 11. Algorithmic Democracy: Exploring The Impact Of Artificial Intelligence on Elections in India - A Case Study in Odisha &amp; West Bengal 12. Justice in the Digital Age: Popular Culture and the Rise of AI-Powered Legal Decision-Making 13. The Intersection of Artificial Intelligence and Procedural Laws: Reimagining Justice in the Digital Era 14. Utility and Efficiency of Ai-Driven Legal System: Illustrations Around The Globe

Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems.

Building a Program for Strategy and Oversight

Practical AI Governance

Ethics, Legislation, and Governance in the Age of Artificial Intelligence

The New Laws of Outer Space

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Machine Learning For Dummies

A comprehensive, up-to-date introduction to active inference and the free energy principle for an engineering-focused audience. Active inference, which uses machine learning to model brain function and behavior, emerged from decades of cross-disciplinary research in computational neuroscience, resulting in a vast literature but no unifying treatment. Filling this gap, Sanjeev Namjoshi provides comprehensive coverage of the foundational material needed to understand and navigate this fast-moving field from first principles. Using a simple, conversational style free of proofs, lemmas, and theorems, Namjoshi brings together theory and technical material in one self-contained text. The book begins with an explanation of the general statistical framework used in active inference models that describes the relationship between artificial agents and their environments. It then introduces fundamental concepts in machine learning and statistics and connects them to the active inference perspective. Featuring worked examples, simulations, and detailed walkthroughs of concepts, this user-friendly text aims to expand the readership of active inference to an engineering-focused audience.&nbsp; <ul><li>Provides a one-stop-shop for understanding the foundations and applications of active inference and the free energy principle </li><li>Makes a complex, interdisciplinary subject accessible to students and professionals beyond the neurosciences</li><li>Covers discrete and continuous state-space formulations of active inference as well as state-of-the-art extensions to base active inference methods</li><li>Features extensive appendices and supplemental resources</li></ul>

Principles, Algorithms, and Applications of the Free Energy Principle for Engineers

Fundamentals of Active Inference

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

This book frames "theories" as tools for understanding and applying real-world phenomena, bridging classic scholarship with the unprecedented challenges and opportunities posed by machine intelligence, digital platforms, and shifting cultural dynamics. Structured in four sections—Foundational Media Theories, Interaction and Impact Theories, Critical Media Perspective Theories, and Advanced and Future-Facing Theories—the textbook progresses from essential theories like Marshall McLuhan’s&nbsp;and Neil Postman's Media Ecology Theory to cutting-edge concepts like Ambient Media and Attention Economy Theories. With chapters addressing topics such as algorithmic influence, media ecology, participatory media, and posthuman digital embodiment, the book offers a holistic view of media’s past, present, and evolving futures. The 12 future-focused media theories presented include the introduction of Quantum Media Theory and Gestalt Media Theory as an integrated, cross-disciplinary, approach to understanding media theory from a wholistic “whole is more than the sum of its parts” perspective.Jack Myers&nbsp;is a Senior Lecturer on New Media Theory at the University of Arizona School of Information Sciences, author of&nbsp;The Myers Report&nbsp;column at Substack, and&nbsp;founder of the MediaVillage Education Foundation. He was an adjunct professor of Media Business at NYU Steinhardt. His honors include the Excellence in Education Award from the Global Forum on Education &amp; Learning, the George Foster Peabody Award, Academy and EMMY Award nominations for documentary filmmaking, the Crystal Heart Award from the Heartland Film Festival, the World Music Award as its producer, and a Top 10 Most Admired Leader in Tech by Pinnacle Tech Insights.

This book frames "theories" as tools for understanding and applying real-world phenomena, bridging classic scholarship with the unprecedented challenges and opportunities posed by machine intelligence, digital platforms, and shifting cultural dynamics. Structured in four sections—Foundational Media Theories, Interaction and Impact Theories, Critical Media Perspective Theories, and Advanced and Future-Facing Theories—the textbook progresses from essential theories like Marshall McLuhan’s&nbsp;and Neil Postman's Media Ecology Theory to cutting-edge concepts like Ambient Media and Attention Economy Theories. With chapters addressing topics such as algorithmic influence, media ecology, participatory media, and posthuman digital embodiment, the book offers a holistic view of media’s past, present, and evolving futures. The 12 future-focused media theories presented include the introduction of Quantum Media Theory and Gestalt Media Theory as an integrated, cross-disciplinary, approach to understanding media theory from a wholistic “whole is more than the sum of its parts” perspective.

Theories of Culture, Communications, and Consciousness

Media Ecology for the 21st Century

Discover how to use AI confidently, responsibly and ethically as an HR practitioner with this practical jargon-free guide.

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Praise for IRREPLACEABLE "If you think AI is just about robots and algorithms, think again. IRREPLACEABLE will shatter your assumptions and challenge you to reimagine what it means to be human in a machine age." -Dr. Marshall Goldsmith, Thinkers50 #1 Executive Coach and New York Times Bestselling Author of The Earned Life, Triggers, and What Got You Here Won't Get You There "IRREPLACEABLE is addressing the most important question of our time: how do we keep our humanity front and center in an AI-dominated world? I challenge you to find a book more timely and relevant!" -Klaus Schwab, Founder and Executive Chairman of the World Economic Forum "IRREPLACEABLE is a vital guide to thinking differently and working confidently in tandem with AI. Pascal Bornet's insights and strategies are essential to succeed with customers and colleagues, in your community and career." -Ron Kaufman, New York Times Bestselling Author of Uplifting Service "In a world obsessed with the power of AI, IRREPLACEABLE dares to ask the question: what makes us human? The answer may surprise you." -Dr. Luc Julia, Co-Founder of Apple Siri "One of the most important books of our times, Pascal Bornet's IRREPLACEABLE is a must-read guide for navigating the AI revolution, empowering readers to excel personally and professionally in a technology-driven world." -Bernard Marr, Futurist, Internationally Bestselling Author "A very practical guide to strengthening our humanity with AI." -Nir Eyal, Bestselling Author of Hooked and Indistractable "Both a wake-up call and a practical guide to rediscover what makes us truly human in the age of AI." -Gerd Leonhard, Futurist and Humanist "I've always believed that AI will enhance human capabilities rather than replace them. This excellent book provides a roadmap for individuals and organizations to become effective partners with smart machines. Follow its advice, and you'll be well-equipped for the present and the future." -Thomas H. Davenport, Distinguished Professor, Babson College; Author of Only Humans Need Apply, Working with AI, and All In on AI "IRREPLACEABLE challenges us to confront the ultimate dilemmas: who are we, and what is our purpose in a world transformed by AI? The answers may just change your life." -Professor Jochen Wirtz, Vice Dean MBA Programmes, National University of Singapore "IRREPLACEABLE forces us to question our future in an increasingly technologically mediated world and learn to take action!" -Leonard A. Schlesinger, Baker Foundation Professor, Harvard Business School

Artificial Intelligence for Legal System

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