Computing and Technology Ethics

Author:   Satya Prakash Upadhyay
Publisher:   Toronto Academic Press
ISBN:  

9781779568854


Publication Date:   15 January 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Computing and Technology Ethics


Overview

As technology advances, ethical considerations become increasingly critical in shaping responsible innovation and digital governance. Professionals in computing must understand the social, legal, and moral implications of their work. Computing and Technology Ethics examines issues such as data privacy, algorithmic bias, cybersecurity, and intellectual property. The book also explores ethical frameworks for AI, automation, and digital surveillance. It encourages critical reflection on how technology influences human rights, labor, and democracy. By linking ethical theory with real-world dilemmas, it provides a foundation for responsible decision-making in technology design and application.

Full Product Details

Author:   Satya Prakash Upadhyay
Publisher:   Toronto Academic Press
Imprint:   Toronto Academic Press
ISBN:  

9781779568854


ISBN 10:   1779568851
Publication Date:   15 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Author Information

Dr. Satya Prakash Upadhyay holds Ph.D. in Computer Science from DDU Gorakhpur University, Gorakhpur (U.P.), 2013. He has Technical/Teaching Experience (15 Years 08 Months) in DDU Gorakhpur University, Gorakhpur(UP). He has been the member of Academic/Administrative Committees. He has also participated in a large number on seminars/workshops/conferences, presented papers/keynote address and chaired technical sessions. He has authored several books. His areas of interest are Integrating University Administration with IT, Research on Pattern Recognition/Optimization of Algorithms/Big data analysis, and Innovation in Examination System.

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