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Basler de Roca R: KI Kann ich: Zwischen
Prompt und Purpose

KI Kann ich: Zwischen Prompt und Purpose

Wie wir mit KI sinnvoller denken, arbeiten und wirken

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

Studien zum Regulierungsrecht

This study develops, from the perspective of European law, a concept for the systemic regulation of disinformation on online platforms aimed at safeguarding the integrity of the public opinion-formation process in the European Union. Against the backdrop of disinformation events between 2016 and 2025 and the changing conditions of platform-based communication, it examines - on the basis of the fundamental rights of the European Union, in particular the scope of protection of freedom of expression under Article 11(1) of the Charter of Fundamental Rights - how proportionate disinformation regulation can be designed within the framework of Articles 34 and 35 of the Digital Services Act and implemented, for instance, through a code of conduct pursuant to Article 45.
 

 The study combines a doctrinal legal analysis of freedom of expression with legal-philosophical and legal-sociological perspectives, drawing on emergence theory to explain how individual disinformative expressions transition from the discursive micro-level to the macro-level of public discourse. On this basis, it develops the concept of disinformation dynamics as an operational point of reference for systemic risks within the meaning of the Digital Services Act.
 

 The result is a proposal for a procedural regulatory architecture that, instead of relying on substantive assessments of truth, is based on a rebuttable presumption of disinformation and, where such suspicion is triggered, enables rights-compliant regulatory measures through a discursive reversal of the burden of proof. An interdisciplinary analysis of AI-based algorithmic detection methods - including knowledge-based, style-based, and dissemination-based approaches - demonstrates the technical feasibility of the concept and identifies the requirements for accuracy, fairness, and explainability in automated disinformation detection.
 

 The study thus contributes to the doctrinal development of European platform regulation and outlines ways to safeguard public opinion formation as a foundation of democracy in the digital sphere.

Rechtliche und technische Möglichkeiten zur Desinformationsbekämpfung auf Online-Plattformen am Maßstab des Art. 11 Abs. 1 GRCh

Systemische Desinformationsregulierung

The Fight for the Future of Work

We Are Not Machines

SpringerBriefs in Applied Sciences and Technology

Why the Energy Is Well Spent

Powering the Digital Transformation

AI Optimism for the Mildly Alarmed

Don't Panic

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Research in Creative Writing

Writing Human in the Age of AI

How Language Became a Production System in the AI Era

The Language Infrastructure

Routledge Studies in Central and Eastern European Business and Economics

Strategies for Digital Transformation, Adoption and Organisational Change

Cloud Computing in Manufacturing

Emerging Trends in Science, Innovation and Business

"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated learning and healthcare.Federated learning, a decentralized machine learning approach that enables model training across multiple devices or institutions without centralized data sharing, holds immense promise for revolutionizing healthcare by facilitating collaboration, preserving patient privacy, and improving healthcare outcomes. This book aims to unravel the complexities of federated learning and demonstrate its transformative potential in various healthcare applications. Through a combination of theoretical insights, practical guidelines, case studies, and real-world examples, the book aims to empower readers to harness the potential of federated learning to address pressing healthcare challenges effectively.Whether readers are healthcare professionals seeking to leverage data-driven approaches to improve patient care, researchers exploring innovative solutions at the intersection of machine learning and healthcare, policymakers grappling with regulatory and ethical considerations, or technologists developing cutting-edge healthcare solutions, this book serves as a valuable resource for understanding, implementing, and advancing federated learning in healthcare.

Empowering Wellness

Federated Learning Applications in Healthcare

The next choice we make is the last chance we have. Ten thousand years ago, wild cats wandered into a human grain store. Over generations, gorged with a plentiful supply of prey, they traded their raw instincts for a life of dependency as our household pets. Today, domestic cats are more comfortable than ever but they can no longer hunt effectively. Their brains are 16% smaller than their distant ancestors. They are domesticated. AI is turning the modern world into a cognitive grain store. And we are the cats. In this groundbreaking and vital book, leading AI researcher and campaigner James F. Ryan charts our relationship with transformative technologies - from writing to AI - and explains why this time it's different. Large language models like ChatGPT are not just tools, but are remaking our brains and eroding our ability to think. From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. The Domestication sets out the evidence, the imposing challenge we face, and how we respond.

A Story of AI and the Human Mind

The Domestication

In einer Welt, in der Künstliche Intelligenz, Blockchain und Big Tech die Märkte in Rekordtempo umwälzen, stellt sich für Anleger nur eine Frage:&nbsp;
 

 Wie unterscheidet man einen nachhaltigen Trend von einer gefährlichen Spekulationsblase? "Tech Money" liefert die Antwort durch ein messerscharfes, datenbasiertes System. Anstatt auf vage Prognosen zu setzen, führt Igor Pejic die Leser durch 100 ausgewählte Charts, welche die verborgenen Muster der Technologiezyklen offenlegen. Sie lernen nicht nur, die Mechanismen hinter exponentiellem Wachstum zu verstehen, sondern entwickeln eine klare Strategie für den idealen Ein- und Ausstieg. Dieses Buch ist der strategische Masterplan für alle, die technologische Disruption nicht nur beobachten, sondern aktiv zur massiven Vermögensbildung nutzen wollen.

Börsenerfolg mit Alphabet, Nvidia und Co

Tech Money

KI Kann ich: Zwischen Prompt und Purpose

Autres titres sur ce thème