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Gesamtkatalog

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Political Science and International Studies (R0)

Georgios I. Zekos

Political, Economic and Legal Effects of Artificial Intelligence

Governance, Digital Economy and Society

Chapter 1. Introduction.- Chapter 2. Theoretical Background of AI &amp; Governance.- Chapter 3. Digital Economy &amp; Politics.- Chapter 4. AI and Demarcation of the Rule of Law.- Chapter 5. Politics Versus Law.- Chapter 6. Politics Supersedes the Rule of Law.- Chapter 7. International Law, Politics &amp; The Rule of Law.- Chapter 8. Cyberspace Governance &amp; Politics.- Chapter 9. Politics and Technology.- Chapter 10. AI &amp; Politics.- Chapter 11. AI, Digital Politics &amp; GDPR.- Chapter 12. Conclusions.

New Information Communication Technologies in the Digital Era

A Comprehensive Introduction

Financial Technology

Your AI isn't broken. Your playbook is.

AI project failures don't come from bad models. They come from old habits. Lock AI down like software and you kill its value. Let it roam and it drifts. Mistakes ship and scale. WISER is the field manual for teams operationalizing AI.

Written by Robb Wilson and Anthony Franco, practitioners with twenty years of shared experience building systems for over half the Fortune 100, The WISER Method delivers a systematic approach to AI implementation built on AI First Principles, an open-source framework of twelve constraints governing how AI systems succeed and fail.

Inside: a full-length narrative case study following one company from discovery through deployment. Twenty-six Plays with objectives, inputs, steps, success criteria, adaptations, and pitfalls. Over twenty downloadable templates. Advanced frameworks for risk, autonomy, measurement, and knowing when to rebuild.

For leaders: roughly 80 pages of strategic foundation to sponsor well and recognize when things go wrong. For practitioners: the entire book is your workbook.

Five canons. One method. Built by people who ship.

Build What Matters with AI First Principles

WISER Method Master Playbook

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

Shared Intelligence

Coming of Age

A year of HBR's essential thinking on tech--all in one place.From gen AI to EVs to advanced digital collaboration tools, new tech innovations are reshaping organizations from the factory floor to the C-suite. What should you and your company be doing right now to take advantage of the opportunities these technologies are creating--and to avoid falling victim to disruption?The Year in Tech, 2027: The Insights You Need from Harvard Business Review will help you understand what the latest and most important applications of new tech mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Year in Tech, 2027: The Insights You Need from Harvard Business Review

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more liveable cities worldwide.

Smart Solutions for Sustainable Cities

Intelligent Urban Infrastructure

Real-World Solutions for Reshaping Healthcare Through Artificial Intelligence and Beyond

Strategies for Artificial Intelligence in Healthcare

Most composition textbooks begin with skills like thesis writing and paragraph structure. This one begins with a person. Writing as Self-Design is a transformative textbook in which students examine control of information and discover their agency in meaning-making. Informed by neuroscience, rhetorical theory, digital literacy, and composition pedagogy, this book challenges students to question how meaning is made, filtered, and constrained in the digital age, and to develop their unique voices through composition strategies that reclaim writing as an act of self-design. It is a book which responds to the technological landscape in which we find ourselves. Rather than convincing students of the value of research and writing, Writing as Self-Design allows them to discover their own emotional value through enhanced agency in inquiry and resistance. Through this textbook, composition becomes a space in which students question information control, the hedonic cycle of passive consumption, and their greater agency in creativity and intentional design. Recognizing the ubiquity of tools like AI, this book encourages critical examination of how and why they are used. Students engage with algorithmic bias, misinformation, datafication, and the influence of platforms like Google, TikTok, and ChatGPT: not just as topics, but as forces that shape the way they think, write, and relate to the world. The value of Writing as Self-Design will resonate well beyond the classroom, addressing the importance of the critical skills needed to navigate the "total noise" of our media-saturated lives, build personal definitions of success, and rediscover the creative cycle that leads to lasting happiness and fulfilment.

Finding Voice and Agency Through Composition

Writing as Self-Design

What if aliens gave us just 365 days to create a just world?

The Alien Ultimatum

Legal Regulation of AI and Sex Discrimination in Employment

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?

Political, Economic and Legal Effects of Artificial Intelligence

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