The Dark Side of AI - Shafik, Wasswa
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Erscheint vorauss. 10. Januar 2026
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This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be…mehr

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Produktbeschreibung
This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be integrated into society responsibly, while addressing the potential dangers that could threaten our future, making it relevant for those seeking to understand both the promise and peril of emerging AI technologies.
Autorenporträt
Wasswa Shafik (Member, IEEE) is the Founder and a Team Lead of the Dig Connectivity Research Laboratory (DCRLab). He received his PhD in Digital Science (Computer Science) at Universiti Brunei Darussalam, Brunei Darussalam, a master of Engineering in Information Technology Engineering with Communication and Computer Networks Option from Yazd University, Iran and a bachelor of science degree in Information Technology Engineering with a minor in mathematics from Ndejje University, Kampala, Uganda. His research interests include Artificial Intelligence, Deep Learning, Computer Vision, Digital Health, Smart Agriculture, Sustainable Computing, Green Cybersecurity & Forensics.