THE TRUST GAP: Beyond the Black Box of AI
In the rapid expansion of Artificial Intelligence, a dangerous divide has emerged. As deep learning models become more sophisticated, they have also become more opaque-"black boxes" that deliver powerful results without a clear roadmap of how they got there. For high-stakes fields like global defence, healthcare, and finance, this lack of transparency isn't just a technical hurdle; it is a critical vulnerability.
In The Trust Gap: Beyond the Black Box AI, researcher Adyasha Das explores the frontier of Explainable AI (XAI). This book bridges the gap between complex neural architectures and the human need for accountability. Moving beyond mere performance metrics, Das argues that the next phase of the AI revolution must be built on a foundation of "Glass Box" transparency.
Inside this technical monograph, you will discover:
The Anatomy of the Black Box: Why modern AI fails to explain its logic and the risks of "hallucinated" data in defense contexts.
The XAI Framework: A deep dive into interpretability techniques that turn opaque algorithms into human-understandable insights.
Ethics & Governance: How to navigate the global push for AI accountability and the "right to explanation."
The Future of Defense AI: Case studies on why transparency is the ultimate security feature in autonomous systems.
Whether you are an AI practitioner, a graduate student, or a policy maker, The Trust Gap provides the essential roadmap for building AI systems that are not just intelligent, but fundamentally trustworthy.
Bridge the gap. Decode the black box. Reclaim trust in the age of AI.
Customer Reviews
ThriftBooks ® and the ThriftBooks ® logo are registered trademarks of Thrift Books Global, LLC
