Full Description
This book offers a unique and timely contribution to the intersection of agentic AI, reliability engineering, and system trustworthiness. This book addresses both sides of the reliability challenge: how to ensure the reliability of agentic AI systems (with autonomy, planning, and goal-directed behavior), and how agentic AI can be used to enhance the reliability of critical infrastructure and industrial systems (e.g., energy, transportation, manufacturing). It introduces a layered architectural framework that connects technical design (models, execution, cognition) with system-level trust and explainability. This book outlines how awareness and transparency can be engineered into each layer, supporting dependable human-AI collaboration. Beyond technical detail, the book helps researchers, practitioners, and policymakers understand both the barriers and enabling factors for adopting agentic AI in real-world reliability-critical domains. It draws on examples from sectors like power systems, autonomous transportation, and predictive maintenance. This book includes a survey and critical analysis of the current state of regulatory frameworks and standards organizations (e.g., IEEE, ISO, EU AI Act), highlighting gaps and aligning recommendations with the evolving compliance landscape. This book provides an interdisciplinary bridge between AI development, systems reliability engineering, and AI policy/ethics communities—making it relevant for a wide audience across academia, industry, and regulatory bodies
Contents
1 - Introduction to Agentic AI.- 2 - A Survey of Architectures of Agentic Artificial Intelligence Systems.- 3 - Architectures for Building Agentic AI.- 4. Measuring ML Dataset Coverage and Completeness: Metrics and Visualizations.- 5. Statistical Confidence and Reliability Estimation for GenAI Reasoning.- 6. Agentic AI and Cybersecurity: Threats, Defenses, and Open Problems.- 7: Improving Security Vulnerability Descriptions using LLMs.- 8: Agentic AI in Practice: Applications Across Industries.- 9: Software Engineering Reliability in the Era of Generic and Agentic AI.- 10: From Failure Modes to Reliability Awareness in Generative and Agentic AI System.- 11: Perspectives on a Reliability Monitoring Framework for Agentic AI Systems.- 12: Human-AI Collaboration.- 13 Standards, Regulation, and Governance for Agentic AI.- 14: Looking Forward: Challenges and Opportunities in Agentic AI Reliability.
