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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;

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Digitalisierung, Globalisierung und Krisen verändern die Arbeitswelt rasant: Viele Jobs werden automatisiert, neue Tätigkeiten verlangen neue Fähigkeiten. Was heißt das für Sie - welche Kompetenzen zählen künftig und wie stellen Sie sich darauf ein? Das Future-Proof-Mindset liefert praxisnahe Tools, um sich in unsicheren Zeiten strategisch zu positionieren, sich kontinuierlich zu hinterfragen und weiterzuentwickeln. Mit konkreten Strategien, aktuellen wissenschaftlichen Erkenntnissen und Fallbeispielen zeigt Sandra Navidi, wie Sie Ihre Karriere zukunftssicher machen.

Die vier essenziellen Regeln für Ihren Erfolg im Zeitalter der Künstlichen Intelligenz

Das Future-Proof-Mindset

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems.Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability.You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development - Lead AI learning projects and embed learning into daily workThis book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization.Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

With the frequent and rapid advancements in technology, businesses are increasingly vulnerable to sophisticated cyber attacks. This accessible guide provides small business owners and non-technical managers with a framework for responding to cyber-attacks in real time. Designed as a practical incident response for businesses without dedicated IT security teams, Preparing for and Dealing with Cyber Threats can be used during an actual crisis. From recognizing the early warning signs, through to recovering and building long-term resilience for your business, Stephen Dunn guides you through the complete incident response journey and demonstrates how readers can transfer these skills into other areas of their business. Each chapter provides actionable templates, checklists and design-making frameworks that are designed to work when readers are under extreme stress. With templates and geography-specific information provided in appendices, this is your one-stop resource for preparing your business to tackle cyber attacks, and to provide your team with the skills to prevent them going forward.

A non-technical guide to navigating a cyber attack

Preparing for and Dealing with Cyber Threats

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.

Computational Optimization Techniques for Artificial Intelligence Enabled Environments

Hätten Sie gedacht, dass 'Wie hilft man Bienen?' und 'Wie oft kann ich Blut spenden?' zu den häufigsten Google-Anfragen gehören? Milliarden Fragen werden jeden Tag von Menschen auf der ganzen Welt in Google-Suchfenster getippt oder ins Handy gesprochen. Ob es um Informationen zu einem tollen Kochrezept geht, den nächsten Auftritt des Lieblingspopstars, die Größe des Universums, hilfreiche Tipps bei Schnupfen oder das beste Mittel gegen eine Ameisenstraße in der Küche - diese Anfragen geben ein höchst aktuelles Bild von Nöten, Vorlieben, Interessen und Befindlichkeiten eines großen Teils der Weltbevölkerung zu einer bestimmten Zeit. Und es ist ein ehrliches, denn wir bewegen uns bei den Anfragen nicht in der Öffentlichkeit z. B. der Social Media. Anhand dieser Riesenmenge an Daten lassen sich zeitnah Trends ablesen und phantastische Geschichten erzählen, vor allem auch solche, die Mut machen, weil sie zeigen, dass Tag für Tag Menschen sich tatsächlich kümmern und Anteil nehmen. Simon Rogers nimmt uns mit auf eine ebenso unterhaltsame wie augenöffnende Reise durch die Welt der Daten, die wir selbst täglich mitgestalten. Mit zahlreichen Infografiken. Ausstattung: Mit zahlreichen Illustrationen

Ein überraschend hoffnungsvolles Bild der Menschheit - Mit zahlreichen Illustrationen von Nigel Holmes

Was wir Google fragen

Why the consequences of a prolonged period of weaker economic growth will be more profound than anyone dares to predictIn the heady progress of the post-war era, our lifestyles changed, our political systems adapted, and rapid economic growth became the model of every developed economy. But this prevailing consensus is falling apart around us. Growth is now, at best, no more than anaemic. Policymakers dream about an AI revolution and tweak their fiscal rules to accommodate a newly-austere economic reality but, all the while, government debt soars, financial markets become increasingly jittery, and voters lose trust in their politicians.Celebrated economist Stephen D. King asks how our politics will adapt to such persistently low growth. While leaders make fiscal promises based on a future that is unlikely to materialise, nationalism thrives, battlelines are drawn between perceived winners and losers, and the rules-based international order crumbles. The absence of growth triggers invidious political wrangling over tax, welfare, defence and infrastructure, intensifies competition for resources, and leads to social instability.King shows how our new world is governed by them-and-us divisions over limited economic spoils. This is the political economy of plunder.&nbsp;

Winners and Losers in the Low Growth Era

The Age of Plunder

Swipe, Scan, Shop

Interactive Visual Merchandising

Essentials

essentials plus online course

Wissen wird zum Erfolgsfaktor, wenn es im richtigen Moment verfügbar, verständlich und nutzbar ist. Dieses Buch mit Online-Kurs zeigt praxisnah, wie Organisationen ihr Wissen mit künstlicher Intelligenz (KI) systematisch organisieren, sichern und für Menschen wie KI-Anwendungen erschließen können.
Im Zentrum stehen generative KI, RAG-Systeme, KI-Agenten und die Worksphere Map als Werkzeug, um Arbeitsgebiete, Wissensflüsse, Rollen, Prozesse und Quellen sichtbar zu machen. Daraus entstehen strukturierte Wissenselemente für bessere Zusammenarbeit, schnellere Einarbeitung, Wissenstransfer und verantwortungsvolle KI-Nutzung. Den Zugang zum Online-Kurs finden Sie direkt im Buch.
Der Inhalt
<ul>
<li>Wissensorganisation als Grundlage für Lernen, Handlungsfähigkeit und Wertschöpfung</li>
<li>KI als kognitives Exoskelett der Wissensarbeit</li>
<li>RAG, KI-Agenten und KI-gestützte Wissenssysteme</li>
<li>Worksphere Map, Wissensflüsse und Wissenselemente</li>
<li>Governance, Datenschutz, Qualitätssicherung und Reifegradmodell</li>
<li>Praxisbeispiele, Wissenstransfer und Einführung KI-fähiger Wissensplattformen</li>
</ul>
Die Autoren
Benno Ackermann ist Geschäftsführer der Wissenstransfer GmbH, Berater und Dozent für Wissensmanagement, Wissenstransfer und Organisationsentwicklung.
Prof. Dr. Oliver Krancher forscht und lehrt zu Wissensmanagement, Digitalisierung, KI-Governance und Mensch-KI-Zusammenarbeit.
Prof. Dr. Klaus North ist ein profilierter Experte für Wissensmanagement, wissensorientierte Unternehmensführung und organisationales Lernen.
Gemeinsam verbinden die Autoren wissenschaftliche Erkenntnisse mit Praxiserfahrung und zeigen Wege zu einer wirksamen, KI-gestützten Wissensorganisation.
&nbsp;

Strategien, Methoden und Werkzeuge für die wissensbasierte Organisation von morgen

Erfolgreiche Wissensorganisation mit KI und Worksphere Map

Research in Creative Writing

Writing Human in the Age of AI

Digital Ethics in the Age of AI

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