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Professional and Applied Computing (R0)

Jennifer C. Wolfe

Nancy E. Cronin

Owning Intelligence

How AI is Reshaping Intellectual Property, Risk, and Governance

&lt;p&gt;Chapter 1: Why We Wrote This Book and What You'll Gain From It.- Chapter 2: Understanding Artificial Intelligence in the Context of IP.- Chapter 3: Ownership and Authorship of AI.- Chapter 4: Oversight and Accountability.- Chapter 5: Where should AI oversight reside within the organization?.- Chapter 6: AI as a Tool In Managing IP.- Chapter 7: Building the AI-IP Strategy in an Evolving Global Policy Landscape.- Chapter 8: The Silent Disruption: How AI Is Rewriting the Rules of Work and Organizational Behavior.- Chapter 9: Key Takeaways and the Road Ahead.&lt;/p&gt;

Ius Gentium: Comparative Perspectives on Law and Justice

The contemporary significance of the subject “Social Rights, Inequalities and Affirmative Action” is indisputable. In periods of social polarization, conflict and crisis, it is imperative that the obligation of our societies to protect and promote social rights is addressed and acknowledged. It is also necessary to recognize the way in which social rights are jeopardized by inequalities that impede the cultivation of robust social relationships and to document instances of the implementation of affirmative actions in this scenario. The aims of this work are as follows: firstly, to establish general topics (part I); secondly, to undertake more specific investigations within the primary topic (part II); and thirdly, to address the challenges posed by the technological transition currently taking place in society, which has significant consequences for social rights, (in)equality, and affirmative action (part III). The study is organized into three sections corresponding to these targets. For the purposes of this study, the analysis will commence, in the Part I of this book, at the genesis of the debates, as outlined in the chapter concerning the old and the new forms of racism. This contribution is followed by a chapter on the growing recognition of intersectional discrimination in European and global human rights frameworks and by another on structural discrimination and the function of the law against unjust enrichment. To further explore and expand upon the subjects addressed in the preceding chapters, the final chapter of Part I of this book delves into the topic of affirmative action in the United States. The second part of this work is dedicated primarily to specific forms of affirmative action, thereby deepening the discussion initiated in the first part of this book. The initial topic examines the way in which the pandemic has impacted specific social groups and led to the emergence of health disparities in the UK. The subsequent chapter is devoted to an examination of the alterations in the benefits of minimum income support in Brazil in recent years. The fourth chapter undertakes a detailed investigation of a specific affirmative action program for children and adolescents with the objective of reducing violence in urban areas. The final chapter conducts an analysis of ageing, public policies and inclusion in Brazil. The third and final section is dedicated to an examination of the challenges faced by our technological societies. The field of “Social Rights, Inequalities and Affirmative Action” is set to be impacted by the regulation of artificial intelligence, the increasing digitalization of activities, and the development of new tools designed to enhance the efficiency of the social state. The initial chapter of the concluding section deals with the regulation of artificial intelligence in Brazil and the impacts of neurotechnology. The second study examines conservative digitalization and structural inequalities in Latin American information societies, while the final study focuses on the emergence of the social digital state and the use of instruments that produce inequality and discrimination.

The contemporary significance of the subject “Social Rights, Inequalities and Affirmative Action” is indisputable. In periods of social polarization, conflict and crisis, it is imperative that the obligation of our societies to protect and promote social rights is addressed and acknowledged. It is also necessary to recognize the way in which social rights are jeopardized by inequalities that impede the cultivation of robust social relationships and to document instances of the implementation of affirmative actions in this scenario. The aims of this work are as follows: firstly, to establish general topics (part I); secondly, to undertake more specific investigations within the primary topic (part II); and thirdly, to address the challenges posed by the technological transition currently taking place in society, which has significant consequences for social rights, (in)equality, and affirmative action (part III). The study is organized into three sections corresponding to these targets. For the purposes of this study, the analysis will commence, in the Part I of this book, at the genesis of the debates, as outlined in the chapter concerning the old and the new forms of racism. This contribution is followed by a chapter on the growing recognition of intersectional discrimination in European and global human rights frameworks and by another on structural discrimination and the function of the law against unjust enrichment. To further explore and expand upon the subjects addressed in the preceding chapters, the final chapter of Part I of this book delves into the topic of affirmative action in the United States. The second part of this work is dedicated primarily to specific forms of affirmative action, thereby deepening the discussion initiated in the first part of this book. The initial topic examines the way in which the pandemic has impacted specific social groups and led to the emergence of health disparities in the UK. The subsequent chapter is devoted to an examination of the alterations in the benefits of minimum income support in Brazil in recent years. The fourth chapter undertakes a detailed investigation of a specific affirmative action program for children and adolescents with the objective of reducing violence in urban areas. The final chapter conducts an analysis of ageing, public policies and inclusion in Brazil. The third and final section is dedicated to an examination of the challenges faced by our technological societies. The field of “Social Rights, Inequalities and Affirmative Action” is set to be impacted by the regulation of artificial intelligence, the increasing digitalization of activities, and the development of new tools designed to enhance the efficiency of the social state. The initial chapter of the concluding section deals with the regulation of artificial intelligence in Brazil and the impacts of neurotechnology. The second study examines conservative digitalization and structural inequalities in Latin American information societies, while the final study focuses on the emergence of the social digital state and the use of instruments that produce inequality and discrimination.

Social Rights, Inequalities and Affirmative Action

The Fight for the Future of Work

We Are Not Machines

Law, Development, and Practice

Intellectual Property Debates in South Asia

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

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

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

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;

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 AutorenBenno 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

When was the last time you thought something through by yourself, without a screen? The brain rot happens quietly. You stop drafting emails and start approving them. You cannot answer a question without checking your phone. You stop wrestling with the idea and start accepting the summary. Every shortcut feels like a win until you've outsourced your mind to machines that don't doubt, don't feel, and don't care. The atrophy is subtle; the cost is staggering. It's the promotion lost to the person who can still reason out loud. It's your child freezing at an open-ended question because no one ever let her sit in the discomfort of not knowing. We are becoming a generation that prompts brilliantly and thinks almost nothing, and it feels so good we don't even notice. Use Your Brain is a field guide for sharpening your creativity and original thinking when the generic answer is always a tap away, whether it's in the boardroom or around the kitchen table. From CEOs to artists to students to parents, the most effective navigators of the modern era have one thing in common: they aren't afraid to pick up a new tool, but they know exactly when to put it down and think for themselves. Drawing on years of research, globally-recognized leadership expert Erica Dhawan delivers common-sense habits for protecting your judgment that you can start building tonight. You will learn how to catch yourself on autopilot before you act, how to interrogate an answer that looks finished, how to separate signal from noise under pressure, and how to own a decision instead of laundering it through a machine. The window to keep your edge is still open, but not for long.

Think Deeper in a World on Autopilot

Use Your Brain

Routledge Studies in Accounting

Implications for Practice, Education, and Research

Generative AI and Agentic Systems in Accounting

Corporate Governance in the Age of Artificial Intelligence

Research in Creative Writing

Writing Human in the Age of AI

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

Owning Intelligence

Weitere Titel zum Thema