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Technical Foundations and Applications of Trustworthy AI Systems

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Description

Artificial intelligence and data-driven technologies now shape critical outcomes across education, healthcare, finance, and public services, making trustworthiness essential. This comprehensive book addresses the fundamental questions stakeholders must answer: how are AI models developed, tested, and validated? What data foundations support them? What risks, biases, and uncertainties persist? Who bears accountability throughout the lifecycle? Written by IGI Global Scientific Publishing, this resource provides technical foundations and practical applications for building responsible AI systems. It serves data stewards, engineers, policymakers, and end users seeking to understand model transparency, governance frameworks, and ethical deployment strategies in real-world contexts.

Key Features

Explores technical foundations of trustworthy AI systems for data scientists and engineers building responsible models.

Addresses accountability and governance questions critical for policymakers and stakeholders across education, healthcare, and finance sectors.

Examines data foundations, validation methods, and risk assessment techniques for ensuring model reliability and bias mitigation.

Provides practical applications and deployment strategies for end users implementing AI systems in everyday professional environments.

Published by IGI Global Scientific Publishing with expert guidance on lifecycle management and ethical AI practices.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 April 2026
Listed Since
28 April 2026

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