Ewa Wanda Ziemba – författare

This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN’s Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies — from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy—the book demonstrates XAI’s transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.

This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies - from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy-the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.

This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies - from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy-the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.

This book constitutes extended selected papers from the 17th Conference on Advanced Information Technologies for Management, AITM 2019, and the 14th Conference on Information Systems Management, ISM 2019, held as part of the Federated Conference on Computer Science and Information Systems, FedCSIS, which took place in Leipzig, Germany, in September 2019.The total of 7 full and 6 short papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on and future directions of information technology for management in business and public organizations. They were organized in topical sections named: information technology assessment for future development; methods and models for designing information technology, and aspects of implementing information technology.

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.

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.