Xiwei Xu – författare

AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover:

Governance mechanisms at industry, organisation, and team levels Development process perspectives, including software engineering best practices for AI System perspectives, including quality attributes, architecture styles, and patterns Techniques for connecting code with data and models, including key tradeoffs Principle-specific techniques for fairness, privacy, and explainability A preview of the future of responsible AI

This book addresses what software architects and developers need to know in order to build applications based on blockchain technology, by offering an architectural view of software systems that make beneficial use of blockchains.

This book addresses what software architects and developers need to know in order to build applications based on blockchain technology, by offering an architectural view of software systems that make beneficial use of blockchains. It provides guidance on assessing the suitability of blockchain, on the roles blockchain can play in an architecture, on designing blockchain applications, and on assessing different architecture designs and tradeoffs. It also serves as a reference on blockchain design patterns and design analysis, and refers to practical examples of blockchain-based applications.The book is divided into four parts: Part I provides a general introduction to the topic and to existing blockchain platforms including Bitcoin, Ethereum, and Hyperledger Fabric, and offers examples of blockchain-based applications. Part II focuses on the functional aspects of software architecture, describing the main roles blockchain can play in an architecture, as well as its potential suitability and design process. It includes a catalogue of 15 design patterns and details how to use model-driven engineering to build blockchain-based applications. Part III covers the non-functional aspects of blockchain applications, which are cross-cutting concerns including cost, performance, security, and availability. Part IV then presents three detailed real-world use cases, offering additional insights from a practical perspective. An epilogue summarizes the book and speculates on the role blockchain and its applications can play in the future.This book focusses on the bigger picture for blockchain, covering the concepts and technical considerations in the design of blockchain-based applications. The use of mathematical formulas is limited to where they are critical. This book is primarily intended for developers, software architects and chief information officers who need to understand the basic technology, tools and methodologies to build blockchain applications. It also provides students and researchers new to this field an introduction to this hot topic.

This book constitutes the refereed proceedings of the 19th European Conference on Software Architecture, ECSA 2025, held in Limassol, Cyprus, during September 15–19, 2025. The 18 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 80 submissions.

This book constitutes the refereed proceedings of the 19th European Conference on Software Architecture, ECSA 2025, held in Limassol, Cyprus, during September 15–19, 2025.The 18 full papers and 9 short papers presented in this volume were carefully reviewed and selected from 80 submissions. They are grouped into the following topics: Architectures for MLOps; Large Language Models in Software Architecture; Architectures for Embedded Systems; Self-Adaptive, Secure and Federated Learning Systems; Microservice Architecture; Software Architecture Practices, Perspectives and Evolution; Industry papers.

The M8.0 Wenchuan Earthquake occurred in China on May 12, 2008, killing over 69,000 people and displacing millions from their homes. This was one of the most catastrophic natural disasters on record. This book includes 5 chapters describing the tectonic setting and historical earthquakes around the Chuan-Dian region, the nucleation of the Wenchuan earthquake, occurrence and aftershocks. The field observations of earthquake induced surface fractures and building damage, form a major and special part of this book and include a large number of digital photos with accompanying explanantions.

The M8.0 Wenchuan Earthquake occurred in China on May 12, 2008, killing over 69,000 people and displacing millions from their homes. This was one of the most catastrophic natural disasters on record. This book includes 5 chapters describing the tectonic setting and historical earthquakes around the Chuan-Dian region, the nucleation of the Wenchuan earthquake, occurrence and aftershocks. The field observations of earthquake induced surface fractures and building damage, form a major and special part of this book and include a large number of digital photos with accompanying explanantions.

The M8.0 Wenchuan Earthquake occurred in China on May 12, 2008, killing over 69,000 people and displacing millions from their homes. This was one of the most catastrophic natural disasters on record. This book includes 5 chapters describing the tectonic setting and historical earthquakes around the Chuan-Dian region, the nucleation of the Wenchuan earthquake, occurrence and aftershocks. The field observations of earthquake induced surface fractures and building damage, form a major and special part of this book and include a large number of digital photos with accompanying explanantions.

IA Responsable es un eText práctico y estratégico que aborda uno de los desafíos más críticos del desarrollo tecnológico actual: cómo diseñar, implementar y gestionar sistemas de inteligencia artificial de manera ética y responsable. Ubicado entre lo técnico y lo filosófico, este eText ofrece una guía clara y aplicable para profesionales, equipos de desarrollo y líderes organizacionales que buscan integrar principios de IA responsable en la práctica diaria.

A partir de una síntesis de investigación existente y experiencias del mundo real, este eText presenta un marco estructurado basado en patrones comprobados que ayudan a traducir principios éticos en acciones concretas. Con un enfoque accesible y orientado a la aplicación, el contenido permite a los lectores navegar los desafíos éticos de la IA y tomar decisiones informadas, preparando tanto a individuos como a organizaciones para construir soluciones más responsables en un entorno tecnológico en constante evolución.

Enfoque práctico para aplicar principios de IA responsable Equilibrio entre perspectivas técnicas y éticas Marco estructurado basado en patrones probados Orientación dirigida a profesionales de IA y equipos de desarrollo Relevante para líderes organizacionales y toma de decisiones estratégicas Síntesis de investigación existente y mejores prácticas del sector Enfoque en la implementación real, no solo en principios teóricos Cobertura de gobernanza de IA y gestión de riesgos éticos Contenido accesible para distintos niveles de experiencia Preparación para afrontar desafíos futuros en el desarrollo de IA

IA Responsable es un eText práctico y estratégico que aborda uno de los desafíos más críticos del desarrollo tecnológico actual: cómo diseñar, implementar y gestionar sistemas de inteligencia artificial de manera ética y responsable. Ubicado entre lo técnico y lo filosófico, este eText ofrece una guía clara y aplicable para profesionales, equipos de desarrollo y líderes organizacionales que buscan integrar principios de IA responsable en la práctica diaria.

A partir de una síntesis de investigación existente y experiencias del mundo real, este eText presenta un marco estructurado basado en patrones comprobados que ayudan a traducir principios éticos en acciones concretas. Con un enfoque accesible y orientado a la aplicación, el contenido permite a los lectores navegar los desafíos éticos de la IA y tomar decisiones informadas, preparando tanto a individuos como a organizaciones para construir soluciones más responsables en un entorno tecnológico en constante evolución.

Enfoque práctico para aplicar principios de IA responsable Equilibrio entre perspectivas técnicas y éticas Marco estructurado basado en patrones probados Orientación dirigida a profesionales de IA y equipos de desarrollo Relevante para líderes organizacionales y toma de decisiones estratégicas Síntesis de investigación existente y mejores prácticas del sector Enfoque en la implementación real, no solo en principios teóricos Cobertura de gobernanza de IA y gestión de riesgos éticos Contenido accesible para distintos niveles de experiencia Preparación para afrontar desafíos futuros en el desarrollo de IA

IA Responsable es un eText práctico y estratégico que aborda uno de los desafíos más críticos del desarrollo tecnológico actual: cómo diseñar, implementar y gestionar sistemas de inteligencia artificial de manera ética y responsable. Ubicado entre lo técnico y lo filosófico, este eText ofrece una guía clara y aplicable para profesionales, equipos de desarrollo y líderes organizacionales que buscan integrar principios de IA responsable en la práctica diaria.

A partir de una síntesis de investigación existente y experiencias del mundo real, este eText presenta un marco estructurado basado en patrones comprobados que ayudan a traducir principios éticos en acciones concretas. Con un enfoque accesible y orientado a la aplicación, el contenido permite a los lectores navegar los desafíos éticos de la IA y tomar decisiones informadas, preparando tanto a individuos como a organizaciones para construir soluciones más responsables en un entorno tecnológico en constante evolución.

Enfoque práctico para aplicar principios de IA responsable Equilibrio entre perspectivas técnicas y éticas Marco estructurado basado en patrones probados Orientación dirigida a profesionales de IA y equipos de desarrollo Relevante para líderes organizacionales y toma de decisiones estratégicas Síntesis de investigación existente y mejores prácticas del sector Enfoque en la implementación real, no solo en principios teóricos Cobertura de gobernanza de IA y gestión de riesgos éticos Contenido accesible para distintos niveles de experiencia Preparación para afrontar desafíos futuros en el desarrollo de IA

This book collects a series of review articles summarizing the outcomes of collaborative research projects on the 1999 Chi-Chi earthquake and the 2008 Wenchuan earthquake, two of the largest and most disastrous earthquakes in Asia in the last two decades.

This book collects a series of review articles summarizing the outcomes of collaborative research projects on the 1999 Chi-Chi earthquake and the 2008 Wenchuan earthquake, two of the largest and most disastrous earthquakes in Asia in the last two decades. The articles cover a broad range of aspects,including these earthquakes’ fundamental mechanisms, kinematics, and the geological and geophysical background of their fracture faults. Presenting comprehensive coverage, the book offers a valuable reference guide to these two devastating earthquakes.

This book collects a series of review articles summarizing the outcomes of collaborative research projects on the 1999 Chi-Chi earthquake and the 2008 Wenchuan earthquake, two of the largest and most disastrous earthquakes in Asia in the last two decades.