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Kreps S: Harnessing Disruption

Harnessing Disruption

Building the Tech Future Without Breaking Society

This book introduces a conceptually rich and innovative new framework for the ethics of nonviolence by drawing from Dostoevsky's "Legend of the Grand Inquisitor." It offers fresh insights into civil resistance and political theory.

A Dostoevskian Framework for Political Theory

Nonviolence and the Grand Inquisitor

The History and Persistence of Our Deadliest Infection

Everything Is Tuberculosis

Women Pioneers of Science

Against the Odds

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;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Why do we speak the same language, use the same money, or trust a screw to fit every time?
Everything on our planet is underwritten by standards. Behind every leap in human progress is a quiet agreement: a shared standard that lets us build on each other's work.
In The Screw that Changed the World, Dr. Karl Turner journeys through time and technology, starting with the genetic codes that turned microbes into world-makers. Then, he examines the rise of language, money, and measurement, before landing on the Whitworth screw: the humble hardware that launched the modern industrial age. 
Today, in a time marked by ongoing wars and the after-effects of colonization, our planet is once again at a critical turning point. Where do we go from here? And how can an understanding of standardization help us navigate the new contexts of our time? 
For fans of Malcolm Gladwell, this fun and comprehensive history expertly showcases the hidden architecture that can make anything we dream into a reality, for worse or for better.

The Screw that Changed the World

Infrastructures

AIDS from Its Research Infrastructures

Machineries of Similarity and Difference

Oxford Handbooks

The second edition of The Oxford Handbook of National Security Intelligence is a thoroughly updated state-of-the-art work on the role of secret agencies in defending the democracies and intelligence activities in authoritarian regimes. Edited by Loch Johnson, one of the world's leading authorities on the subject, the handbook examines the topic in full, beginning with an examination of the major theories of intelligence. It then shifts its focus to how intelligence agencies operate, how they collect information from around the world, and the difficulties in disseminating intelligence to policymakers. It also considers the balance between secrecy and public accountability, and the ethical dilemmas that covert and counterintelligence operations routinely present to intelligence agencies. Throughout, contributors factor in broader historical and political contexts that are integral to understanding how intelligence agencies function in our information-dominated age.

The Oxford Handbook of National Security Intelligence

Public administration and policy analysis education have long emphasized tidiness, stages, and rationality, but practitioners increasingly work in a world where objectivity is buffeted by, repressed by, and sometimes defeated by value conflict. Over five beautifully-written and accessible editions, Public Policy Praxis has demonstrated that politics and policy are "messy" and power explains much more about the policy process than does rationality. Using a case-based approach, authors Randy S. Clemons and Mark K. McBeth blend theory and practice to uniquely equip students to better grapple with ambiguity and complexity.Public Policy Praxis introduces students to the "how" of policy analysis alongside its limitations, practical political problems, and the ethical problems associated with different techniques and methodologies. By offering six different analytical models of policy analysis-rational, quantitative, political, pragmatic, postpositivist, and democratic-the reader explores multiple perspectives to tackle complex policy issues. Unlike many US-centric public policy books on the market, Public Policy Praxis is designed to work in international policy settings. New features include expanded coverage of narrative analysis, earlier introduction of mixed methods, updated cases on pressing issues like opioid abuse, school safety, and renewable energy, and enhanced discussions of political polarization and evidence-based policymaking. A fully-updated online Teaching Appendix is included for adopters, offering original cases, answers to problems, alternative approaches to case use, teaching exercises, student assignments, pedagogical ideas, and supplemental material directly tied to concepts covered in the text. With a conversational writing style, Public Policy Praxis, 5th Edition is an ideal textbook for undergraduate and graduate courses in public policy analysis, community planning, leadership, social welfare policy, educational policy, family policy, and special seminars.

A Case Approach for Understanding Policy and Analysis

Public Policy Praxis

The Making of International Status

Creativity in the Age of AI

What Art Is Now

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Harnessing Disruption

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