Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

The conference proceedings, titled "Responsible AI and Analytics for an Ethical and Inclusive Digitized Society," consist of 57 full and 8 short papers selected from 141 submissions. The papers are organized into six topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; and Digital Technologies and Organizational Capabilities. The conference proceedings cover a wide range of topics related to artificial intelligence, analytics, and digital transformation. The papers presented at the conference explore the potential of AI and analytics to drive digital transformation and public good, as well as the challenges and opportunities associated with the adoption of AI and analytics in various sectors. The conference proceedings include papers on AI and analytics decision making, AI philosophy, ethics, and governance, as well as digital transformation and public good. The papers presented at the conference provide insights into the current state of AI and analytics research and practice, as well as the future directions for research and development in this field. The conference was held virtually due to the COVID-19 pandemic, and the proceedings provide a comprehensive overview of the current state of AI and analytics research and practice. The papers presented at the conference are written by experts in the field of AI and analytics, and provide a wealth of information on the potential of AI and analytics to drive digital transformation and public good. The conference proceedings are edited by Denis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias Pappas, and Matti Mäntymäki, and are published by Springer in cooperation with the International Federation for Information Processing. The proceedings are available online and provide a valuable resource for researchers, practitioners, and policymakers interested in AI and analytics. The conference proceedings include papers on the adoption of AI and analytics in various sectors, including healthcare, finance, and education. The papers presented at the conference also explore the challenges and opportunities associated with the adoption of AI and analytics, including issues related to data quality, bias, and transparency. The conference proceedings provide a comprehensive overview of the current state of AI and analytics research and practice, and are a valuable resource for researchers, practitioners, and policymakers interested in AI and analytics. The papers presented at the conference provide insights into the potential of AI and analytics to drive digital transformation and public good, and highlight the need for further research and development in this field.