AI Forensics: Investigation and Analysis by Joseph C. Sremack (.ePUB)+
File Size: 42.0 MB
AI Forensics: Investigation and Analysis of Artificial Intelligence Systems by Joseph C. Sremack
Requirements: .ePUB, .PDF reader, 42.0 MB | True PDF, True EPUB
Overview: AI Forensics provides the first comprehensive framework for investigating Artificial Intelligence systems when they fail, cause harm, or become subjects of legal or regulatory scrutiny. As Artificial Intelligence (AI) systems power critical decisions in healthcare, finance, autonomous vehicles, and public safety, traditional digital forensics techniques prove inadequate for understanding their complex, opaque, and dynamic behaviors. You’ll master systematic approaches for evidence collection across distributed cloud environments, training data analysis for bias detection and intellectual property violations, model parameter examination to identify tampering or discrimination, and output analysis to validate system performance and detect adversarial attacks. The book provides detailed investigation templates, Python code examples, and statistical validation techniques that can be immediately applied to active cases. Each chapter builds upon previous techniques, creating an integrated investigation framework that scales from small regional deployments to enterprise systems spanning multiple jurisdictions. Python serves as the primary programming language for AI forensic analysis due to its extensive ecosystem of Machine Learning and data analysis libraries. The language provides investigators with direct access to the same tools used for AI development, enabling analysis of model architectures, training procedures, and system behaviors using familiar frameworks. Python’s interpreted nature and interactive capabilities make it particularly suitable for exploratory analysis and iterative investigation approaches that characterize AI forensic work.
Genre: Non-Fiction > Tech & Devices
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