Breached Trust: Protecting Privacy in an AI-Powered World

(Autor)

Buch | Softcover
158 Seiten
2024
tredition (Verlag)
978-3-384-25801-4 (ISBN)
28,99 inkl. MwSt
In "Breached Trust: Protecting Privacy in an AI-Powered World," we navigate the double-edged sword of artificial intelligence. AI promises a future of convenience and innovation, but its reliance on vast amounts of personal data raises troubling questions about privacy.This book exposes the potential pitfalls of an AI-driven world, where our every move, preference, and interaction is collected and analyzed. We explore how data breaches and algorithmic bias can lead to discrimination, manipulation, and even identity theft.But fear not! "Breached Trust" equips you with the knowledge to fight back. Learn about cutting-edge privacy-preserving technologies and discover actionable steps you can take to safeguard your data. Explore the ethical considerations of AI development and the growing movement for stronger data protection laws.This timely and thought-provoking book empowers you to reclaim control over your personal information and navigate the future of AI with confidence.

Professor Nain, for your Advanced Bioanalytical Chemistry course, I propose "Live Analysis: Membrane Mass Spectrometry." This book explores a revolutionary technique called MAMS that allows us to analyze biomolecules directly within living cells. Unlike traditional methods that offer static snapshots, MAMS provides real-time insights into the dynamic world within cells. Imagine watching molecules flow across cell membranes – "Live Analysis" sheds light on this fascinating process. By analyzing these interactions in real-time, the book equips researchers with a powerful tool to understand cellular signaling, drug-target interactions, and the intricate dance of life at the molecular level. "Live Analysis" is a valuable resource for researchers, students, and anyone interested in cutting-edge bioanalytical chemistry and its impact on unraveling the mysteries of cellular function.

Erscheint lt. Verlag 11.6.2024
Verlagsort chef road
Sprache englisch
Maße 155 x 234 mm
Gewicht 276 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte algorithmic bias • Artificial Intelligence (AI) • Control • Data Ownership • Data Security • Explainable AI (XAI) • Facial Recognition Technology • government surveillance • privacy • Privacy Concerns in AI
ISBN-10 3-384-25801-0 / 3384258010
ISBN-13 978-3-384-25801-4 / 9783384258014
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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