Witold Chmielarz – författare

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 artificial intelligence (AI), Large Language Model (LLM)-e.g. powered data agents, and circular business models are transforming sectors like education, startups, and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, 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.

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2020, which took place in Sofia, Bulgaria, during September 6–9, 2020. The FedCSIS Information Systems and Technologies Track included AIST 2020, DSH 2020, ISM 2020, and KAM 2020.

This book constitutes revised selected and extended papers presented at track 4 on "Advances in Information Systems and Technologies" of the Conference on Computer Science and Intelligence Systems, FedCSIS 2021, which was held online during September 2–5, 2021. The FedCSIS Track 4 included AIST 2021, DSH 2021, ISM 2021, and KAM 2021.

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2022, which took place in Sofia, Bulgaria, during September 4–7, 2022. The FedCSIS Information Systems and Technologies Track included AIST 2022, ISM 2022, DSH 2022, and KAM 2022.

The present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023.ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full paper has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.

The present book includes extended and revised versions of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2024, and the Thematic Track on Information System Management, ISM 2024, held as part of the 19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024, which took place in Belgrade, Serbia, during September 2024. ITBS 2024 received 14 submissions, from which 3 full papers and 3 short papers have been accepted; for ISM 2024, 3 full papers have been accepted from 8 submissions. The accepted papers are grouped in sections on Business-IT Alignment and Digital Transformation; Consumer Insights and Intelligent Decision Making; and Research Methods for Analytical Approaches to IT Applications.