ISBN: 9798260022337 - interdisciplinary approaches to data governance, ai, and digital society (10 resultados)

Condición: New.

Hardback. Condición: New.

Hardback. Condición: New.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condición: new. Hardcover. In a data-driven world, the governance of digital technologies and artificial intelligence (AI) is a concern for governments, businesses, and societies. Addressing the complex social, ethical, legal, and technical challenges posed by AI and digital systems requires an interdisciplinary approach that draws from fields like computer science, law, sociology, public policy, ethics, economics, and communication studies. Interdisciplinary perspectives enable a more comprehensive understanding of how data governance frameworks shape privacy, accountability, algorithmic bias, digital inclusion, and democratic participation. Integrating diverse forms of expertise may develop more equitable and transparent systems that balance technological innovation with societal values and human rights in a digital society. Interdisciplinary Approaches to Data Governance, AI, and Digital Society explores how various disciplines and fields collaborate to govern the social, ethical, legal, and technological impacts of data and AI in society. It examines issues like privacy, bias, digital rights, governance, and the influence of emerging technologies on institutions, communities, and everyday life. This book covers topics such as digital sovereignty, regulatory compliance, and technostress, and is a useful resource for business owners, government officials, engineers, policymakers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. In a data-driven world, the governance of digital technologies and artificial intelligence (AI) is a concern for governments, businesses, and societies. Addressing the complex social, ethical, legal, and technical challenges posed by AI and digital systems requires an interdisciplinary approach that draws from fields like computer science, law, sociology, public policy, ethics, economics, and communication studies. Interdisciplinary perspectives enable a more comprehensive understanding of how data governance frameworks shape privacy, accountability, algorithmic bias, digital inclusion, and democratic participation. Integrating diverse forms of expertise may develop more equitable and transparent systems that balance technological innovation with societal values and human rights in a digital society. Interdisciplinary Approaches to Data Governance, AI, and Digital Society explores how various disciplines and fields collaborate to govern the social, ethical, legal, and technological impacts of data and AI in society. It examines issues like privacy, bias, digital rights, governance, and the influence of emerging technologies on institutions, communities, and everyday life. This book covers topics such as digital sovereignty, regulatory compliance, and technostress, and is a useful resource for business owners, government officials, engineers, policymakers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: new. Hardcover. In a data-driven world, the governance of digital technologies and artificial intelligence (AI) is a concern for governments, businesses, and societies. Addressing the complex social, ethical, legal, and technical challenges posed by AI and digital systems requires an interdisciplinary approach that draws from fields like computer science, law, sociology, public policy, ethics, economics, and communication studies. Interdisciplinary perspectives enable a more comprehensive understanding of how data governance frameworks shape privacy, accountability, algorithmic bias, digital inclusion, and democratic participation. Integrating diverse forms of expertise may develop more equitable and transparent systems that balance technological innovation with societal values and human rights in a digital society. Interdisciplinary Approaches to Data Governance, AI, and Digital Society explores how various disciplines and fields collaborate to govern the social, ethical, legal, and technological impacts of data and AI in society. It examines issues like privacy, bias, digital rights, governance, and the influence of emerging technologies on institutions, communities, and everyday life. This book covers topics such as digital sovereignty, regulatory compliance, and technostress, and is a useful resource for business owners, government officials, engineers, policymakers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condición: Neu. Interdisciplinary Approaches to Data Governance, AI, and Digital Society | Muhammad Anshari (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260022337 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a data-driven world, the governance of digital technologies and artificial intelligence (AI) is a concern for governments, businesses, and societies. Addressing the complex social, ethical, legal, and technical challenges posed by AI and digital systems requires an interdisciplinary approach that draws from fields like computer science, law, sociology, public policy, ethics, economics, and communication studies. Interdisciplinary perspectives enable a more comprehensive understanding of how data governance frameworks shape privacy, accountability, algorithmic bias, digital inclusion, and democratic participation. Integrating diverse forms of expertise may develop more equitable and transparent systems that balance technological innovation with societal values and human rights in a digital society. Interdisciplinary Approaches to Data Governance, AI, and Digital Society explores how various disciplines and fields collaborate to govern the social, ethical, legal, and technological impacts of data and AI in society. It examines issues like privacy, bias, digital rights, governance, and the influence of emerging technologies on institutions, communities, and everyday life. This book covers topics such as digital sovereignty, regulatory compliance, and technostress, and is a useful resource for business owners, government officials, engineers, policymakers, academicians, researchers, and data scientists.…