A01=Arshad Khan
Author_Arshad Khan
Category=UYQ
Data ethics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Product details
- ISBN 9781501524110
- Weight: 527g
- Publication Date: 17 Feb 2025
- Publisher: De Gruyter
- Publication City/Country: US
- Product Form: Paperback
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In a world increasingly shaped by data and artificial intelligence, the ethical challenges surrounding data use have never been more critical. Data Ethics in the Age of AI provides a compelling exploration of the moral, legal, and societal dimensions of data in the digital era.
This insightful book delves into key issues such as privacy, algorithmic bias, transparency, and accountability, offering readers a robust framework for navigating the complex intersection of technology and ethics. With real-world examples and thought-provoking discussions, it equips business leaders, policymakers, researchers, and students with the knowledge and tools to foster ethical responsibility in the face of rapid technological advancements.
Discover how we can build a future where data is used responsibly, equitably, and for the greater good. Data Ethics in the Age of AI is your essential guide to understanding and shaping the ethical landscape of our data-driven world.
This insightful book delves into key issues such as privacy, algorithmic bias, transparency, and accountability, offering readers a robust framework for navigating the complex intersection of technology and ethics. With real-world examples and thought-provoking discussions, it equips business leaders, policymakers, researchers, and students with the knowledge and tools to foster ethical responsibility in the face of rapid technological advancements.
Discover how we can build a future where data is used responsibly, equitably, and for the greater good. Data Ethics in the Age of AI is your essential guide to understanding and shaping the ethical landscape of our data-driven world.
Arshad Khan is a professor at the University of California, San Diego and previously co-authored the best-selling title Stock Investing for Everyone: Tools For Investing Like The Pros. He has also authored titles on business intelligence, data warehousing, and SAP.
