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Lina Irscheid

Künstliche Intelligenz in der kommunalen Klimaanpassung

Potenziale, Risiken und rechtliche Anforderungen an KI-basierte Klimavorhersagen

2025 marks a turning point in the regulation of Bitcoin, Stablecoins, and other crypto-assets with the entry into force of EU Regulation 2023/1114 on Markets in Crypto-Assets (MiCAR).

MiCAR creates the world's first comprehensive regulatory framework for the law of units of value based on distributed ledger technology (crypto-assets). Written in English, this book provides a detailed article-by-article commentary on each of the 149 provisions of MiCAR.
It serves as an indispensable guide to the new EU-wide requirements on, for instance: 
<li>transparency and disclosure
</li><li>authorisation and supervision
</li><li>protection of holders and clients

Key Benefits
</li><li>Article-by-Article approach
</li><li>Comprehensive and up-to-date
</li><li>Specialist authors

Target Audience
For in-house counsel, legal practitioners, banks and credit institutions, FinTechs, investment firms, crypto-asset service providers, (financial supervisory) authorities, courts, universities and higher education institutions.
</li>

Regulation (EU) 2023/114. Article-by-Article Commentary

Markets in Crypto-Assets Regulation (MiCAR)

A guide to communicating professionally and authentically in today's workplace. Whether you are a leader, manager, or ambitious young professional, this book provides strategies you can use to communicate effectively and professionally without losing your own voice, command a room without dominating it, and inspire action without forcing it. Drawing on the author's experience teaching Business Communication courses and working for both international organizations and startups, you'll be equipped with proven techniques you can apply right away. Grounded in real-world examples, including how to write a persuasive email, how to navigate a difficult conversation with a colleague, how to craft an engaging virtual presentation, and how to effectively use AI as a support tool, Buxton covers all you need to know about written, spoken, and digital forms of communication.

Speaking and Writing with Professional Impact

Magnetic Communication

Governing the Intelligent Enterprise

Overruled

Security, Audit and Leadership Series

Organizational Debt and AI Failure: Why Your AI Project Fails challenges the assumption that unsuccessful artificial intelligence initiatives are primarily caused by weak models, insufficient computing power, or poor technology choices. Instead, Scott Andersen argues that AI often fails because it is introduced into organizations carrying years of unresolved structural debt.The book presents a practical framework for identifying and managing five interconnected forms of organizational debt: technical, data, personnel, security, and embedded debt. Technical debt creates fragile architectures and brittle integrations. Data debt undermines meaning, lineage, context, and trust. Personnel debt appears through skill gaps, unclear responsibilities, burnout, and dependence on a few critical individuals. Security debt weakens identity, governance, assurance, and accountability. Embedded debt connects them through undocumented assumptions, informal processes, workarounds, and hidden dependencies.AI does not necessarily create these weaknesses-it exposes and accelerates them. Processes that remained stable through human judgment and manual intervention can collapse when automated systems begin operating continuously and at machine speed. What appeared to be resilience may have depended on people quietly compensating for organizational problems.Drawing on decades of enterprise architecture and technology experience, Andersen explains why promising pilots become trapped in "pilot purgatory," why local improvements can increase systemwide risk, and why failures frequently emerge at the seams between technologies, teams, data, and decision authorities. He introduces practical concepts and measures-including Total AI Debt Exposure and Total AI Operational Pressure-to help leaders make risk visible and actionable.This book is written for executives, architects, technology leaders, security professionals, data teams, program managers, and organizations preparing to scale AI. Its central message is direct: successful AI transformation does not begin with adoption. It begins with organizational truth. By identifying, measuring, and governing the debt already present, organizations can move beyond experimentation and build AI systems that achieve delivery, adoption, and sustained operational value.

Why your AI projects fail

Organizational Debt

'An excellent look at what Palantir does, as well as a fascinating insight into the mind of its eccentric chief executive' TelegraphPalantir Technologies is the most interesting company in the world -&nbsp;and the most controversial.&nbsp;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 U.S. 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 U.S. military, the National Health Service in England, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to healthcare to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century.&nbsp;Its billionaire 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 co-founder Peter Thiel.&nbsp;In The Philosopher in the Valley, journalist Michael Steinberger is the first to tell the story of Alex Karp and Palantir from the beginning. Steinberger offers new biographical details and a rich psychological portrait of the man leading one of the world's most secretive companies. Full of revelations, this is an urgent and insightful book about technological power, the surveillance state and the future we all face.

Alex Karp, Palantir and the Rise of the Surveillance State

The Philosopher in the Valley

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

Generative KI verändert die Medienlandschaft mit beispielloser Geschwindigkeit und Reichweite. Dieses Buch untersucht die disruptiven Auswirkungen dieser Technologien auf den Mediensektor. Von der Einführung von Werkzeugen wie ChatGPT bis hin zur Erstellung synthetischer Medien bietet es eine fundierte, wissenschaftliche Analyse darüber, wie generative KI die Erstellung, Verbreitung und Nutzung von Inhalten verändert.
Es vereint eine multidisziplinäre Gruppe von Wissenschaftlerinnen und Wissenschaftlern, die vertiefte Diskussionen über die Herausforderungen und Chancen KI-gestützter Innovationen liefern. Anstatt isolierte Forschungsergebnisse zu präsentieren, zielt dieser Sammelband darauf ab, die verschiedenen Dimensionen der KI-basierten Mediendisruption systematisch zu analysieren und den Leserinnen und Lesern ein umfassendes Verständnis der aktuellen Entwicklungen zu vermitteln.
Dabei werden zentrale Fragen zu den Auswirkungen auf Medienprodukte, Märkte, Fachkräfte und Publikum behandelt und zugleich wichtige Einblicke sowie zukunftsorientierte Perspektiven geboten. Das Buch ist eine unverzichtbare Lektüre für Forschende, Medienpraktikerinnen und -praktiker sowie alle, die sich für die Schnittstelle von Technologie und Medien interessieren.
Indem es die Essenz aktueller technologischer Fortschritte einfängt, eröffnet es zugleich einen visionären Ausblick auf zukünftige Entwicklungen und stattet Wissenschaft und Praxis mit dem nötigen Wissen aus, um den fortlaufenden digitalen Wandel zu gestalten. Durch die Zusammenführung interdisziplinärer Perspektiven versteht sich dieser Band als wegweisender Leitfaden für alle, die sich an der Schnittstelle von Medienwissenschaft, Technologie und digitaler Innovation bewegen, und fördert einen fundierten Dialog über die Gestaltung der sich wandelnden, KI-getriebenen Medienlandschaft.

Innovation, Transformation und Zukunft der Medien im KI- Zeitalter

Handbuch der KI-basierten Mediendisruption

Discover how to adapt, adopt, and thrive in an AI-anxious era, written by the man with the compass for our maze Expecting the apocalypse around the corner? This book is your playbook to surviving the rise of machine learning. 71% of workers are anxious about AI. The good news: the machines still need you, and you can make them work for you. Don't Panic cuts through the noise, showing you exactly how this technology works and where it fails, and why your human judgment is more valuable than ever. Instead of focusing on technical skills or abstract predictions, author Nate B. Jones ("AI Nate") begins with the emotional reality behind AI anxiety, drawing on his 20-years experience in the tech industry. He's garnered trust from more than 1 million people to help them stay relevant in a rapidly changing technological landscape. AI might have a planet-sized brain, but just like Marvin the Android from The Hitchhiker’s Guide to the Planet, it’s permanently stuck at factory settings. It can’t learn, it can’t adapt, and it can’t gain wisdom. This book reveals why AI's permanent blind spots make human judgment more valuable today than ever before.&nbsp; Worry less, and start owning your future.

AI Optimism for the Mildly Alarmed

Don't Panic

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

Jus Publicum

Equality is a long-standing issue in law. Algorithmic systems increasingly use machine learning and thus function statistically. If they cause unequal treatment, these algorithmic discriminations pose a particular challenge for anti-discrimination law, which is often based on normative thinking. Hannes Beyerbach provides a comprehensive overview of the manifestations and complex causes of algorithmic discrimination. He shows that, even after the entry into force of key EU digital legislation, the current legal situation in European and national law does not explicitly address fundamental questions of algorithmic fairness. Hannes Beyerbach makes proposals for supplementing the current law in order to find appropriate responses to algorithmic discrimination.

Bestandsaufnahme und normative Vorgaben für den Umgang mit Diskriminierungen durch algorithmische Systeme

Algorithmen und Diskriminierung

Künstliche Intelligenz in der kommunalen Klimaanpassung

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