Synopsis
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.
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About the Author
Dr. Mohammad Nabil Almunawar is currently an associate professor at the School of Business and Economics, Universiti of Brunei Darussalam (UBDSBE), Brunei Darussalam. Hwe wasthe former dean of UBDSBE. He received his bachelor's degree in 1983 from Bogor Agricultural University, Indonesia, master's degree (MSc) from the Department of Computer Science, University of Western Ontario, London, Canada in 1991, and Ph.D in Computer Science/Information Systems from the University of New South Wales in 1998. Dr. Almunawar has published more than 100 papers in refereed journals, books, book chapters, encyclopedias, and international conference proceedings. He has more than 30 years of teaching experience in the area of information systems. His overall research interests include applications of IT in management, e-business/commerce, digital marketplace/platform, digital business ecosystem, health informatics, information security, and cloud computing. Currently, he focuses his research on digital transformation, digital marketplace, digital platform, and digital business ecosystem.
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Hardcover. Condition: 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. Seller Inventory # 9798260022337
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Hardcover. Condition: 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. Seller Inventory # 9798260022337
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Hardcover. Condition: 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. Seller Inventory # 9798260022337
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