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Full Description
Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.
This interdisciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational AI, LLM-powered data agents, and circular business models are transforming sectors like education, healthcare, and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.
Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.
Contents
Part 1. From Data Foundations to Agentic Systems: The Technological Pillars of Trustworthy AI 1. Talk to Your Data: Conversational Analytics and AI-Driven Data Interaction in Modern Intelligent Cloud Data Platforms 2. What Classical Analytical AI Teaches Us About Delivering Business-Ready Generative AI 3. Risk-Management Practices to Manage Digital-Sovereignty Concerns Part 2. Applied Intelligence in Education and Business: Human-AI Collaboration in Practice 4. AI Support in Higher Education: The Preliminary Comparative Study Across the Polish Universities 5. Doing business with AI: how small organizations use technology to level up? 6. AI-Supported Discovery: Helping Product Teams Frame the Right Problems Part 3. From Compliance to Resilience: Governance, Culture, and Circular Models 7. Beyond the Model: Behavior, Culture, and Ethics in Industry 5.0 8. Designing AI-Resilient Organizations: AI-Based Circular Models and Human-AI Integration Strategies 9. Navigating Complexity in AI-Driven Industry 5.0: A Systems Approach to Human-Centric Digital Transformation Part 4. Culture, Trust, and Ethics-by-Design in the AI Economy 10. Adaptation and AI-Driven Marketing in the Context of Trust in Data Privacy: The TEMU Case. A Poland-China Comparison 11. Ethics Inside: A Socio-Technical Framework for the Moral Architecture of Artificial Intelligence 12. The policy on the use of Artificial Intelligence tools at selected Higher Education Institutions
