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Law and Criminology (R0)

Nasir Muftic

Artificial Intelligence and Tortious Liability

Case Study of Bosnia and Herzegovina

&lt;p&gt;1 Introduction.- 2 Understanding AI and the current legal landscape.- 3 Liability within the wider framework.- 4 Bases of liability.- 5 Allocation of liability.- 6 Position of an injured party.- 7 Conclusion.&lt;/p&gt;

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

Deliver lasting customer value through data-led, technology-enhanced engagement strategies.

Customer Engagement Strategy by Joern Schlimm is a strategic guide for senior decision-makers who want to move beyond short-term campaigns and design customer experiences that deliver measurable results. Grounded in global research and proven industry frameworks, it provides tools for transforming emerging technologies into sustainable, ROI-driven engagement strategies that strengthen brand equity and customer loyalty.

Written for decision-makers shaping enterprise growth, this book explores how to align digital innovation with governance, performance metrics and long-term business impact. Drawing on real-world examples from organizations such as Breitling, Europa-Park and ZEISS, it highlights how forward-thinking brands create competitive advantage through purposeful innovation.

You'll learn how to:
- Apply data-led frameworks to deliver consistent, high-value customer experiences 
- Integrate AI, Web3 and immersive environments into measurable engagement strategies 
- Use proven insights to govern innovation and mitigate technology adoption risks 
- Lead transformation that connects business performance with customer outcomes 

Combining strategic foresight with actionable insights, Customer Engagement Strategy helps senior leaders make informed, evidence-based decisions that drive growth, enhance governance and deliver meaningful customer relationships across every channel.

Themes include: digital transformation, customer experience strategy, data-driven marketing, ROI measurement, technology governance, innovation leadership

Using Emerging Technologies to Transform the Customer Journey

Customer Engagement Strategy

Internet und Gesellschaft

The present volume addresses key issues of digitisation and internationalisation from the perspective of public law, European law and international law in seven contributions. They were written as part of a lecture series held by the Faculty of Law at the University of Innsbruck during the 2024/25 academic year. The contributions analyse and discuss current challenges arising from digitalisation in the mobility sector and in administrative procedures. In addition, the authors examine European and international regulation of cyberspace, online communication, media services, and artificial intelligence.

Perspektiven der Internationalisierung und Digitalisierung

Recht der Digitalisierung III

The Gods Must Be Crazy!

Two civilizations are building the same technology through entirely different logics. One is gilded and theatrical. The other is turbid and relentless. Most investors are watching only one river.
Dragon vs. Eagle is a contrarian strategic forecast that exposes how China's autonomous vehicle manufacturing machine-led by BYD, XPeng, Huawei, and a new generation of pure-play operators like WeRide and Pony.ai-is quietly overtaking the American robotaxi narrative built around Waymo, Tesla, and a $1.5 trillion valuation illusion.
Using the proprietary M¿y¿ Meter, this autonomous vehicle investment guide reveals the staggering per-vehicle valuation gap: Waymo at ~$50 million per vehicle versus WeRide at ~$3 million. The Dinosaur Meter scores the fragility of legacy automakers-Ford (83.4), Volkswagen (79.1), Toyota (70.6)-against a refinancing wall that the capital markets have not yet priced.
At the heart of the analysis is the 'Industrialiser' archetype: how China's state-directed electric vehicle supply chain has driven hardware costs from $150,000 to $150, producing a massive 'Data Monsoon' from BYD's God's Eye ADAS system-now generating 150 million kilometers of driving data per day across 21+ million vehicles. This is not a car story. It is the birth of the first mass-produced embodied intelligence platform.
The book maps the Interdependency Web connecting five nodes-autonomous mobility, logistics, robotics, distributed energy, and financial data rails-and provides a complete investment framework: the Quarter-Kelly position-sizing model, the Six Temples taxonomy, and Three Monsoons scenario planning for 2030-2035.
For investors navigating the US-China technology war, tariff policy, semiconductor export controls, and the LiDAR cost curve revolution, Dragon vs. Eagle delivers what no other book does: the boatman's manual for reading both rivers at once.
From the author of The Gods Must Be Crazy II: A Rooseveltian Renaissance for Trump 2.0, with three decades of Fortune 10 strategic consulting across 40+ countries, Six Sigma Master Black Belt and TOGAF9 credentials, and field expertise spanning the geopolitical risk landscape from BIG4 boardrooms to the ancient ritual traditions of Kerala.

The Trillion-Dollar Autonomous Demolition Derby

The Gods Must Be Crazy! DRAGON vs. EAGLE

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

Law, Governance and Technology Series

This open access book presents the Unidroit&nbsp;Principles on Digital Assets and Private Law (DAPL) with comprehensive context and expert perspectives. The first part introduces the DAPL framework, its development, and future prospects, featuring contributions on its formation and influence. Key figures, including Professor Hideki Kanda and Professor Steven Weise, discuss major issues and highlights, followed by a Q&amp;A with Professor Edwin Smith on integrating digital assets into the U.S. UCC. The “Right of Control” section includes practical exercises and explores its central role in DAPL’s evolution, concluding with an application to verified carbon credits. The following parts offer detailed reflections on each of the 19 Principles. Each reflection follows a consistent structure: the Principle’s text, commentary, illustrative examples, and explanations, all grounded in official Unidroit documents. The book clarifies the rationale, aims, and drafting process behind each Principle, showing their relevance and alignment with international standards. This resource is invaluable for lawmakers, judges, lawyers, entrepreneurs, and students seeking clear guidance on interpreting and applying the DAPL Principles to digital assets law.
This work was financed within the framework of the Prometeo 2023 project of the Regional Ministry of Innovation, Universities, Science and Digital Society (CIPROM/2022/26) “Present and future of the regulation of cryptoassets in the EU [LegalCripto]”, whose principal investigator is María del Carmen Pastor Sempere. The basic ideas contained herein were presented in the author's paper with the same title, given on November 13, 2024 at the IV International Congress on “Unidroit Principles on Digital Assets and Private Law: Context, Content, Perspectives”, organized also by BAES Research Group of the University of Alicante on November 13 and 14, 2024.

Context, Content, Perspectives

UNIDROIT Principles on Digital Assets and Private Law

This book responds to the need to distinguish human creations from those produced by AI. It does so by tracing human attributes of authorship and inventorship in statutory requirements for protection and ownership in European copyright and patent laws. Its main contribution lies in exposing shortcomings in how the laws are applied in the UK, Germany, and France. It shows that the human origin of creations is traditionally inferred from their expressive form or technical character. Given the advancements in AI, such inferences are no longer legitimate. What is more, these shortcomings may eventually lead to granting copyright or patent protection where none is lawfully permitted or sufficiently justified. To remedy the situation, this book offers doctrinal and conceptual amendments and proposes law reforms to implement them. This book guides authorities, practitioners, and students through the main arguments of the debate concerning copyright and patents for objects entirely or partly generated by AI. It also makes original contributions to advance the ongoing academic and policy debates on AI and intellectual property law.

Authorship and Inventorship Revisited

Copyright and Patent Laws for the Age of Artificial Intelligence

Recursions

A Media Theory of Machine Learning

Errant Intelligence

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

A foundational treatment of discrete choice models, with a focus on random utility models Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. • Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models • Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets • A substantial set of exercises and problems at the end of each chapter • Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Sustainable Finance

This edited book explores the intersection of inclusivity, ethics, and innovation in the financial sector. It examines the impact of global and regional regulations, highlighting both compliance challenges and opportunities for innovation. The book discusses strategies for making financial services accessible to underrepresented groups, the role of emerging technologies like AI and blockchain in shaping regulatory practices, and the importance of ethical standards and strong governance. It also discusses the progress of global standardization efforts and offers guidelines for developing inclusive financial policies. Real-world case studies and practical tools are provided to help apply these concepts in the real world.

Artificial Intelligence and Tortious Liability

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