<div class="raw-html-embed"><a href="https://libratech.ai/ch/?utm_source=partner&amp;utm_medium=website&amp;utm_campaign=wkch_libra_prsp_staempfli_07_2026
">Stämpfli Fachinhalte - jetzt im rechtssicheren Libra All-In-One AI Workspace verfügbar - Jetzt kostenlos testen!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

Keine Barrierefreiheitsoptionen des Lesesystems aktiv deaktiviert (außer)

Die Verwendung von Farbe ist nicht das einzige Mittel zur Informationsvermittlung

Hoher Kontrast zwischen Text und Hintergrundfarbe

Strukturelle Navigation Nächste/Zurück

Alle nicht-dekorativen Inhalte unterstützen das Lesen ohne Sehvermögen

Kontakt zum Herausgeber für weitere Informationen zur Barrierefreiheit

Law and Criminology (R0)

Marcelo Corrales Compagnucci

Helena Haapio

Mark Fenwick

Generative AI, Contracts, Law and Design

&lt;p&gt;Chapter 1 &lt;span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS PMincho'; color: black; mso-ansi-language: EN-US; mso-fareast-language: JA; mso-bidi-language: AR-SA;"&gt;Generative AI and the Future of Contracts, Law and Design.- Chapter 2 No More Legal Writing in Contracts &amp;ndash; Time to Break the Magic Spell!.- Chapter 3 &lt;/span&gt;&lt;span style="mso-fareast-font-family: 'MS PMincho'; color: black; mso-fareast-language: JA;"&gt;Contracting: Is Generative AI Really Making a Difference?.- Chapter 4 &lt;/span&gt;&lt;span style="mso-fareast-font-family: 'MS PMincho'; color: black; mso-fareast-language: JA;"&gt;AI as a Financial Coach &amp;ndash; Promoting Sustainable Financial Management with Generative AI.- Chapter 5 &lt;span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS PMincho'; color: black; mso-ansi-language: EN-US; mso-fareast-language: JA; mso-bidi-language: AR-SA;"&gt;Generative AI, Can You Help Us Bridge the Implementation Gap in Contracting?.- Chapter 6 &lt;/span&gt;&lt;/span&gt;&lt;span style="mso-fareast-font-family: 'MS PMincho'; color: black; mso-fareast-language: JA;"&gt;Generative AI: Can Rule of Law Be Bargained for the Sake of Legal Tech Efficiency?.- Chapter 7 &lt;span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS PMincho'; color: black; mso-ansi-language: EN-US; mso-fareast-language: JA; mso-bidi-language: AR-SA;"&gt;Proactive Privacy Communication Design for Emotional Robots.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

Methodology and Applications

An AI-Collaborative Framework for DBA Research

How to Make Sense of a Complex Future

The AI Paradox

Gender Perspectives in Law

This book, part of the Gender Perspectives in Law series, seeks to explore the link between theory and practice in contemporary feminisms. Editors of this book recognize that the focus on theoretical and ideological frameworks must be complemented by a reflection on the political and legal value of concrete practices. Therefore, the aim is to investigate this longstanding and successful interplay between theory and practices from different perspectives and methodological approaches, ranging from empirical legal and political studies to doctrinal contribution compound with national or thematic case studies, historical and comparative assessments, domestic as well as international perspectives, conceptual as well as practical considerations.

This book considers historical aspects of women’s political activism and practices, analyzing what aspects have been particularly relevant in the construction of women’s political action, as well as asking what part of the feminist movements of the past is relevant for contemporary political struggles. Additionally, this book explores contemporary legal manifestations of gender oppression and systems of privilege. The authors also examine emancipatory tendencies in modern law, politics, and culture. Contributions to this book are divided into three sections.

Section One - Historicity of Feminist Legal and Political Theories and Practices, provides theoretical and historical readings of feminist practices, including the origins of various feminist movements addressing women’s political and social agencies for change in the past and present.

Section Two - Feminist Approaches to Policies and Practices for Socio-Legal Changes, brings together the work of scholars who study matters related to the provision of rights and discrimination in areas such as the labor market, citizenship, and EU policies.

Section Three - Feminist Intersectionality: Practices of Care, Work, Bodies and Identities, concentrates on various conceptual and methodological issues within feminist theories and practices including bodies, identities, emotions, and practices of care.

The book is written for the international audiences - including feminist scholars and activists, agents of political change, legal and public policy practitioners, and for students and teachers around the globe.

The Contemporary Interplay of Gender, Intersectionality and Diversity

Feminist Legal and Political Practices

Theory Redux

Prompt Thinking explores how artificial intelligence is fundamentally transforming the nature of thought. In the age of generative AI, prompting becomes more than a technical instruction: it emerges as a philosophical practice. This book arises from an experiment with AI in which the fictional philosopher Jianwei Xun sparked global debate by publishing a book about power and perception in the digital age. That book, Hypnocracy: Trump, Musk, and the New Architecture of Reality, was written with the assistance of AI. Rather than casting AI as either savior or threat, Prompt Thinking proposes a third way: conscious dialogue with artificial intelligence as a means to expand critical awareness. The book shows how critical philosophical engagement with AI can produce unexpected insights while preserving intellectual autonomy. Part theoretical framework, part methodological provocation, Prompt Thinking offers tools for navigating cognitive transformation. It proposes an ethics of the threshold, neither rejecting technological change nor surrendering to it.

A Critique of Generative Reason

Prompt Thinking

AI Governance: The Executive Handbook for Safe and Responsible AI is a book researched and written by cyber experts Ariel Evans and Ajay Singh with contributions from leading members of Cyber Intelligence 4U advisory board, including top CISOs, CIOs, CTOs, DPOs, and cyber attorneys to help businesses prepare for the safe and intelligent use of AI.This book is a comprehensive handbook that bridges the gap between the complex world of artificial intelligence and its practical applications for business. Covering regulation requirements, governance, cyber controls, explainability, and privacy in easy-to-understand language, it is an essential resource to navigate and address the opportunities, complex challenges, and responsibilities associated with AI technologies and provides a roadmap for businesses to implement a safe AI program. Each area is explored from a business perspective to allow the reader to understand how this relates to their role in a company and to harness the power of AI in their respective fields and concludes with a section on how to create a step-by-step AI program. In addition, real-life examples of the challenges that any business needs to address as it rolls out AI-based applications are presented throughout.This book will empower readers, whether they are IT professionals, tech enthusiasts, business leaders, or students, with the necessary knowledge and insights to create a safe and responsible AI program.

The Executive Handbook for Safe and Responsible AI

AI Governance

Responsible AI Product Development shows how data, product and tech leaders can drive the development and deployment of trusted, responsible AI and navigate the associated risks and pitfalls. 

The book is designed for data, product and tech leaders who are seeking to implement structure and processes to ensure the development of responsible AI products compliant with best practice and key regulatory requirements. It guides readers from inception and team setup of AI through to use case development, full deployment, and monitoring, equipping them with the knowledge and tools they need to ensure an ethical and trusted product. It also helps readers understand the risks and challenges in AI product deployment, giving them guidance on what is important and how to avoid common mistakes.

Responsible AI Product Development offers coverage of the real lifecycle process, from thought exercise to ideation, development, creation, testing and delivery including post-delivery care and end of life management. It combines coverage of ethics and transparency with the technical, procedural and development-focused fundamentals, such as MLOPs, ModelOps, AIOps, TDD and SDLC guidance. It also considers key issues such as cybersecurity and DevSecOps, data architecture, collection and visualisation, team structure and processes, project documentation, business continuity and disaster recovery, AI governance and compliance and AI sustainability.

Grasp how to deliver fully deployed and scalable, trusted and responsible AI and avoid expensive failed solutions and limited proof-of-concepts with this practical guide covering the lifecyle process of AI product development.

How Tech Leaders Can Build and Deploy Useful AI

AI Development

Ius Gentium: Comparative Perspectives on Law and Justice

This book offers a clear and comprehensive comparative examination of how two of the leading regulatory models, the European Union and the United States, protect children’s personal data and privacy online, focusing on two key frameworks: the General Data Protection Regulation (GDPR) and the Children's Online Privacy Protection Act (COPPA). It traces their legal foundations, historical evolution, regulatory context, and real-world impact, showing how each system addresses the complex challenge of safeguarding children in digital environments.Through accessible analysis, the book explores key issues including parental consent, age thresholds, and the effectiveness of age-verification and assurance mechanisms. The roles, responsibilities, and rights of parents, alongside the duties of data controllers, are examined in detail. It also highlights the gap between legal requirements and their practical enforcement, supported by case law and real-world examples, including social media practices such as child influencers and parental sharing. Taken together, these analyses examine whether current approaches adequately protect children’s best interests in digital environments.Moving beyond critique, the book calls for a shift toward more child-centered regulatory approaches. It addresses emerging challenges, particularly those driven by rapid advances in AI, and argues for integrating privacy and safety directly into digital design and system architecture, rather than relying heavily on parental oversight. In this respect, it emphasizes that effective protection of children’s privacy and personal data requires a coordinated, multi-stakeholder approach.This timely and insightful work is essential reading for legal professionals, academics, policymakers, and technology and industry practitioners, as well as all those concerned with the future of children’s rights in the digital age.

Online Privacy and Data Protection of Children in the European Union and the United States

A Very Human Guide to Improving Your Life with ChatGPT

Chat Sh*t Crazy

This book offers a machine-generated literature overview of the legal and ethical considerations, in the context of technological growth, over implementing privacy and data protection measures in the last three decades. &nbsp;It showcases the expectations and challenges in mapping and operationalizing the information privacy and data protection measures. It is the second of a two-volume exploration of the narrative, wherein both volumes have consciously tried to remain both jurisdictional and technology neutral while considering a range of data protection and privacy issues. Towards that end, this volume addresses these issues at a conceptual level while dealing with the question of implementing data protection expectations in different environments. It, however, looks at the operational question of implementing the expectations, positioning itself in a context of ‘conflict’ and ‘uneasiness’ that often is assigned to the question of technology and privacy. Therefore, the volume starts with chapters on these conflicts and contradictions before moving on to articles that effectively implement data protection principles in a tech environment. The following chapter gives us a sense of how privacy and data protection issues are no longer obscure incidents and have become a part of our everyday living. The next chapter provides a snapshot of examples where technical advancements offer effective and practical solutions in implementing data protection measures to protect the privacy of individuals. However, the chapter also portrays the extent of risks that such implementation may have on individuals. At the end, the final chapter captures how often privacy and data protection questions come between technical growth and advancement.&nbsp;The first volume, titled ‘Expectations vs Realities of Information Privacy and Data Protection Measures,’ captures overarching issues about data protection and privacy; conceptualizes data protection from different perspectives and its existing debates with other rights and developments in a democratic society; provides a snapshot of developments happening in various jurisdictions and how data protection framework engages with other laws. It also broaches the critical issue of consent and how consent as a requirement has evolved and integrated with health research and other allied areas. The effective interventions by the human expert in both volumes add immense value to the machine-generated content and highlight future trends of research. The volumes are an invaluable resource for not only researchers, but also policy makers, practitioners, corporate sector, across disciplines, and anyone looking to get an idea about the evolution of privacy, data protection issues and how these issues stand with technological growth in the last three decades since 1990.

A Curated Literature Overview

Operationalizing Expectations and Mapping Challenges of Information Privacy and Data Protection Measures

How do we live alongside machines that are sometimes smarter than us? We are entering a new era. AI systems can already outperform humans in some domains while failing spectacularly in others. They can act as tutors, collaborators, researchers, strategists, and creators...yet they can also produce falsehoods, generate convincing nonsense, and fail unpredictably. The challenge is no longer simply adopting new technology. It is learning how to think, work, and live in a world where machines are sometimes smarter than us. In Co-Existence, Ethan Mollick—a Wharton professor and author of the widely read One Useful Thing newsletter—argues that the future of AI will not be defined by replacement, but by interaction. Drawing on years of research, experimentation, and frontline experience with rapidly evolving AI systems, Mollick shows readers how to: • work productively with AI while retaining judgment and autonomy; • distinguish where human insight matters most; • avoid becoming overly dependent on systems designed to persuade and imitate; • adapt creatively as AI reshapes education, business, and everyday life; and • build a durable human advantage in a world of intelligent machines. Clear-eyed, practical, and written with warmth and humor, Co-Existence is your guide to navigating the next phase of the AI revolution.

How do we live alongside machines that are sometimes smarter than us? We are entering a new era. AI systems can already outperform humans in some domains while failing spectacularly in others. They can act as tutors, collaborators, researchers, strategists, and creators...yet they can also produce falsehoods, generate convincing nonsense, and fail unpredictably. The challenge is no longer simply adopting new technology. It is learning how to think, work, and live in a world where machines are sometimes smarter than us. In Co-Existence, Ethan Mollick—a Wharton professor and author of the widely read One Useful Thing newsletter—argues that the future of AI will not be defined by replacement, but by interaction. Drawing on years of research, experimentation, and frontline experience with rapidly evolving AI systems, Mollick shows readers how to: • work productively with AI while retaining judgment and autonomy; • distinguish where human insight matters most; • avoid becoming overly dependent on systems designed to persuade and imitate; • adapt creatively as AI reshapes education, business, and everyday life; and • build a durable human advantage in a world of intelligent machines. Clear-eyed, practical, and written with warmth and humor, Co-Existence is your guide to navigating the next phase of the AI revolution.

The Next Phase of AI

Co-Existence

AI Identities introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles.

Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance.

This is not a coding manual or abstract ethics book—it’s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing.

 

WHAT YOU WILL LEARN:

Understand the emerging category of AI Identities and how they differ from traditional machine accounts.

Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments.

Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents.

Learn how to respond to security incidents involving intelligent agents and prevent cascading failures.

Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI.




WHO THIS BOOK IS FOR

This book is for enterprise security architects, identity professionals, risk officers, and technology executives responsible for the governance and security of digital systems. It is written to inform decision-makers and practitioners who need to understand how to integrate AI agents into their existing identity, compliance, and security programs.

AI Identities
 introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles.
 Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance.This is not a coding manual or abstract ethics book—it’s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing.&nbsp;WHAT YOU WILL LEARN:<ul><li>Understand the emerging category of AI Identities and how they differ from traditional machine accounts.</li><li>Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments.</li><li>Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents.</li><li>Learn how to respond to security incidents involving intelligent agents and prevent cascading failures.</li><li>Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI.</li></ul>WHO THIS BOOK IS FORThis book is for enterprise security architects, identity professionals, risk officers, and technology executives responsible for the governance and security of digital systems. It is written to inform decision-makers and practitioners who need to understand how to integrate AI agents into their existing identity, compliance, and security programs.

Governing the Next Generation of Autonomous Actors

AI Identities

HBR's 10 Must Reads

How to stay ahead in a world transformed by AI.If you read nothing else on artificial intelligence, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change.This book will inspire you to: <ul><li>Help your people and technology work better together</li><li>Redesign roles, workflows, and capabilities</li><li>Keep your AI projects on track</li><li>Address gen AI's quality control and waste problems</li><li>Harness the potential of agentic AI</li><li>Embed AI in the core of your business</li></ul>This collection of articles includes "For Success with AI, Bring Everyone on Board," by David De Cremer; "Bring Human Values to AI," by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen; "From Prediction to Transformation," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "How AI Can Help Managers Think Through Problems," by Elisa Farri and Gabriele Rosani; "The Gen AI Playbook for Organizations," by Bharat N. Anand and Andy Wu; "Agentic AI Is Already Changing the Workforce," by Jen Stave, Ryan Kurt, and John Winsor; "Keep Your AI Projects on Track," by Iavor Bojinov; "How to Marry Process Management and AI," by Thomas H. Davenport and Thomas C. Redman; "The Hidden Penalty of Using AI at Work," by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou; "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman; "AI Is Changing the Structure of Consulting Firms," by David S. Duncan, Tyler Anderson, and Jeffrey Saviano; "Stop Running So Many AI Pilots," by Goutam Challagalla, Mahwesh Khan, and Fabrice Beaulieu; "Addressing Gen AI's Quality-Control Problem," by Stefan Thomke, Philipp Eisenhauer, and Puneet Sahni; "AI's Growing Waste Problem--and How to Solve It," by Samsurin Welch, Khaled Soufani, and Eva Morales; and "Don't Let an AI Failure Harm Your Brand," by Julian De Freitas.HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

HBR's 10 Must Reads on Artificial Intelligence

Generative AI, Contracts, Law and Design

Weitere Titel zum Thema