Beyond the Methods

Chapter 31: Regulatory Frameworks for AI Interpretability Legal requirements and global standards for explainable AI [EU AI Act, GDPR, NIST AI Risk Management Framework, ISO/IEC AI standards] Chapter 32: Case Studies in Interpretability Real-world applications and lessons learned [Healthcare diagnostics, financial risk models, legal AI] Chapter 33: Neurosymbolic Interpretability Combining neural and symbolic approaches for explainable AI [Symbolic rule extraction, hybrid reasoning, neurosymbolic proxies] Chapter 34: Future of Interpretability Emerging trends and open challenges [Neurosymbolic models, quantum-inspired interpretability, general AI interpretability] Chapter 35: Interpretability Across Domains Applications in science, policy, education, and beyond [Scientific discovery, regulatory compliance, public trust]