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Julie Mehan

Emma Newman

Digital Ethics in the Age of AI

Navigating the ethical frontier today and beyond

&lt;p&gt;&lt;b&gt;Introduction&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 1: A digital world and ethics&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 2: 2024 – Digital technology disruption and AI&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 3: An overview of AI and generative AI – setting the stage&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 4: The role of AI and generative AI in misinformation and disinformation&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 5: AI and online disinhibition&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 6: Biased brains – Challenging all types of bias&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 7: AI and job displacement&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 8: AI imitation is not a form of flattery&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 9: Digital technology, AI, and privacy – Is anything really private anymore?&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 10: AI and autonomous things&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 11: AI is rewiring our society – And our behavior&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 12: AI regulation and policy – 2024 and beyond&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Chapter 13: What's next in AI?             &lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Appendix: AI terms you probably need to know&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Further reading&lt;/b&gt;&lt;/p&gt;

B2B marketers face unique challenges, including non-linear buyer journeys, multiple decision-makers, and long sales cycles, alongside the (mis)perception of their work being boring and lacking in creativity. Written by a seasoned industry practitioner, The Future of B2B Marketing: Harnessing AI to Unlock Smarter Decisions offers original insights and guidance into the evolving B2B landscape, showing how artificial intelligence can be applied at every stage of the buying journey - from capturing awareness from the right audience and generating quality engagement through to optimizing measurement and performance. It serves to both guide experienced professionals while also supporting those new to the industry, offering reminders, confidence-building, and practical approaches for navigating the everyday complexities of B2B marketing. Combining research, frameworks, case studies, and career-focused advice, this book helps marketers embrace new technologies and learn how to put AI into practice, using their own judgement and expertise to act effectively - and ultimately make smarter decisions.

Harnessing AI to unlock smarter decisions

The Future of B2B Marketing

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

A Commentary

The EU Artificial Intelligence Act

As fears of agentic obsolescence abound, organizations are struggling to implement AI in ways that enhance rather than replace human work. This unique book introduces a full-stack approach that balances technological capability with human values, ethics and practical applications. AI at Work provides a framework that moves beyond scattered AI experiments toward a coherent strategy that will run throughout your entire company. Rather than focusing on technical capabilities or dystopian warnings, it utilizes a full-stack approach to harness AI's benefits while preserving what matters most - a firm's people, its values and its unique organizational identity. The global AI market is projected to reach $1.8 trillion by 2030, with organizations across sectors racing to implement AI solutions. However, whilst 83% of executives report that AI is a top priority for their organization, only 23% have a comprehensive implementation strategy. This book fills a critical gap between theoretical AI books and technical implementation guides by offering: · A practical framework applicable across industries; · Equal emphasis on technological capability, ethical considerations and real-world applications; · A human-centred approach that addresses concerns about AI replacing workers; and · Case studies and examples from diverse sectors.

How to build a full stack organization

AI at Work

Law, Theory and Practice

Insurability of Emerging Risks

Studieren, aber richtig

Künstliche Intelligenz sinnvoll in den wissenschaftlichen Schreibprozess zu integrieren, ohne dabei die Verantwortung für den eigenen Text abzugeben – wie das gelingt, zeigt Isabella Buck in ihrem Buch. 
Sie erklärt Begrifflichkeiten und Funktionsweisen und geht auf Herausforderungen bei der Anwendung, wie ethische und datenschutzrechtliche Aspekte, ein. Anschließend erläutert sie verschiedene Nutzungsmöglichkeiten von generativer KI beim wissenschaftlichen Schreiben und zeigt, wie Prompting gelingen kann. In der zweiten Auflage hat sie neueste wissenschaftliche Studien integriert und das Kapitel über Prompting um einen Abschnitt zum Context Engineering ergänzt.
Ein aufschlussreiches Buch für Studierende mit erster Erfahrung im wissenschaftlichen Schreiben und Promovierende aller Fachrichtungen.

Wissenschaftliches Schreiben mit KI

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

The job security you thought you had? AI didn't take it. Someone who learned to use AI did.
The headlines scream about AI replacing workers, but they're missing the real story. Artificial intelligence isn't your competition the person in the next cubicle who figured out how to 10x their output with AI tools is.
Adapt or Automate cuts through the fear-mongering and hype to reveal what's actually happening in workplaces worldwide. Drawing on real-world case studies from Nairobi to New York, this book shows how AI is creating a new divide: not between humans and machines, but between those who leverage AI and those who resist it.
Inside, you'll discover:Why AI won't replace you but will replace how you work - and what that means for your career in the next 12-24 months
The "augmentation advantage" - how professionals across industries are using AI to become irreplaceable rather than redundant
The three types of work AI handles best - and the uniquely human skills that are becoming more valuable, not less
Real strategies from real people who've transformed their careers by treating AI as a power tool, not a threat
The economic reality no one's discussing - why companies aren't choosing between humans OR AI, but humans WITH AI versus humans without
A practical 90-day action plan to position yourself on the winning side of the AI revolution


This isn't a technical manual or a dystopian warning. It's a pragmatic guide for anyone who wants to thrive in an AI-augmented workplace whether you're an employee, manager, freelancer, or business owner.
The choice isn't whether AI will transform your industry. It already is. The only question is: Will you adapt, or will you be automated?
Your career in the AI age starts here.

Why AI Won't Take Your Job But Someone Who Uses It Will

ADAPT OR AUTOMATE

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

Internal Consultants: The Driving Force Behind Innovation and Success in Organizations spotlights a powerful yet often underrecognized force in modern business: the internal consultant. In an era of unprecedented change and disruption, internal consultants are emerging as key agents of transformation-driving innovation, generating value, and navigating complex challenges across industries. While external consultants have long dominated the spotlight, this volume reframes internal consultants as strategic leaders shaping the future of organizations from within.
Part of the Research in Management Consulting series, this book traces the evolution of internal consulting, offering a rich exploration of its origins, current practices, and growing impact. Chapters delve into the unique challenges internal consultants face, the distinct value they bring to their organizations, and the best practices that define effective internal consulting. From navigating internal politics to building trust and credibility, the insights shared here are both practical and research-driven.
Written by a diverse group of scholar-practitioners, this volume bridges theory and real-world application, making it an essential resource for academics, consultants, HR leaders, and executives alike. Whether you're building an internal consulting function or looking to elevate its strategic role, Internal Consultants offers the tools and perspectives needed to harness their full potential.

Internal Consultants

Lecture Notes in Operations Research

Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2025), Piraeus, Greece

Advanced Data Analytics, Machine Learning and AI in Business

Digital Ethics in the Age of AI

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