Generative and Agentic AI Reliability: Architectures, Challenges, and Trust for Autonomous Systems
暫譯: 生成式與自主型 AI 的可靠性：架構、挑戰與自動化系統的信任
Stavrou, Angelos, Lin, Janet, Zhou, Ruolin
- 出版商: Springer
- 出版日期: 2026-08-29
- 售價: $8,220
- 貴賓價: 9.5 折 $7,809
- 語言: 英文
- 頁數: 359
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 303218584X
- ISBN-13: 9783032185846
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相關分類:
Reinforcement
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書對於代理式人工智慧、可靠性工程和系統可信度的交集提供了獨特且及時的貢獻。本書探討了可靠性挑戰的兩個方面：如何確保代理式人工智慧系統（具備自主性、規劃和目標導向行為）的可靠性，以及如何利用代理式人工智慧來增強關鍵基礎設施和工業系統（例如，能源、交通、製造）的可靠性。它介紹了一個分層架構框架，將技術設計（模型、執行、認知）與系統層級的信任和可解釋性連接起來。本書概述了如何在每一層中設計意識和透明度，以支持可靠的人機協作。除了技術細節外，本書還幫助研究人員、實務工作者和政策制定者理解在現實世界中採用代理式人工智慧於可靠性關鍵領域的障礙和促成因素。它引用了來自電力系統、自主交通和預測性維護等領域的例子。本書包括對當前監管框架和標準組織（例如，IEEE、ISO、歐盟人工智慧法案）的調查和批判性分析，突顯出差距並將建議與不斷演變的合規環境對齊。本書提供了一個跨學科的橋樑，連接人工智慧開發、系統可靠性工程和人工智慧政策/倫理社群，使其對學術界、產業界和監管機構的廣泛受眾具有相關性。
作者簡介
Dr. Angelos Stavrou is a Virginia Tech Innovation Campus founding Professor and the Entrepreneurship activities lead. He is also a member of the Bradley Department of Electrical & Computer Engineering at Virginia Tech. Dr. Stavrou is a serial entrepreneur and the founder of Quokka, Kryptowire Labs, Aether Argus, and Impedyme Inc. Quokka is a VC-baked Mobile Security company with a more than 200M valuation. In addition, Dr. Stavrou has served as a principal investigator on research awards from NSF, DARPA, IARPA, DHS, AFOSR, ARO, ARL, and ONR. He has written more than 150 peer-reviewed conference and journal articles. Stavrou received his M.Sc. in Electrical Engineering, M.Phil., and Ph.D. (with distinction) in Computer Science, all from Columbia University.
Dr. Janet (Jing) Lin is an associate professor (Docent) at Luleå University of Technology, Sweden, specializing in reliability engineering and trustworthy AI for safety-critical and autonomous systems. She has held formal adjunct appointments and invited guest professorship roles at several universities.
Dr. Lin holds senior leadership roles within the IEEE Reliability Society, serving as Vice President for Membership (2023-2024) and Vice President for Publications (from 2025). She founded the IEEE Reliability Society Sweden-Norway Joint Chapter in 2021 and has served as its Chair since its establishment. In 2024, she received the Annual Reliability Engineer of the Year award in recognition of her contributions to reliability engineering.
Her research addresses reliability-centered innovation across the system lifecycle, including asset management, RAMS/RAM4S, prognostics and health management (PHM), and decision support for safety-critical and autonomous systems. Her work contributes to advancing trustworthy and dependable AI methods for industrial and critical infrastructure applications.
Dr. Ruolin Zhou is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Dartmouth. Her research includes software defined radio (SDR), AI/ML for wireless communications with a particular focus on electromagnetic spectrum (EMS) awareness and operation, and cyber-EMS security. She is a recipient of the 2024 IEEE Region 1 Outstanding Teaching in an IEEE Area Award, the Best Team Award of the 2020-2021 AFRL SDR Beyond 5G University Challenge, and the Best Demo Award of the IEEE Global Communications Conference (GLOBECOM) in 2010. Dr. Zhou serves as the 2025-2026 Vice President for Technical Activities within the IEEE Reliability Society (RS), the RS liaison on IEEE Women in Engineering, a steering committee member of the IEEE Future Networks Technical Community (FNTC) and IEEE Internet of Things Technical Community (IoT TC), a co-chair of the IEEE Future Networks Empowerment through Mentorship (FNEM) program.
作者簡介(中文翻譯)
安傑洛斯·斯塔夫羅博士（Dr. Angelos Stavrou）是維吉尼亞理工大學創新校區的創始教授及創業活動負責人。他同時也是維吉尼亞理工大學布拉德利電機與計算機工程系的成員。斯塔夫羅博士是一位連續創業家，創立了Quokka、Kryptowire Labs、Aether Argus和Impedyme Inc.。Quokka是一家獲得風險投資支持的行動安全公司，估值超過2億美元。此外，斯塔夫羅博士曾擔任NSF、DARPA、IARPA、DHS、AFOSR、ARO、ARL和ONR的研究獎項的主要研究者。他已發表超過150篇經過同行評審的會議和期刊文章。斯塔夫羅博士在哥倫比亞大學獲得電機工程碩士學位、哲學碩士學位及計算機科學博士學位（優異）。
林靜博士（Dr. Janet (Jing) Lin）是瑞典盧勒奧科技大學的副教授（Docent），專注於安全關鍵和自主系統的可靠性工程及可信賴的人工智慧。她曾在多所大學擔任正式的兼任職位和受邀客座教授。
林博士在IEEE可靠性學會中擔任高級領導職位，擔任2023-2024年的會員副會長及2025年起的出版副會長。她於2021年創立了IEEE可靠性學會瑞典-挪威聯合分會，並自成立以來擔任其主席。2024年，她因對可靠性工程的貢獻而獲得年度可靠性工程師獎。
她的研究針對系統生命周期中的以可靠性為中心的創新，包括資產管理、RAMS/RAM4S、預測與健康管理（PHM）以及安全關鍵和自主系統的決策支持。她的工作有助於推進工業和關鍵基礎設施應用中的可信賴和可靠的人工智慧方法。
周若琳博士（Dr. Ruolin Zhou）是馬薩諸塞州達特茅斯大學電機與計算機工程系的副教授。她的研究包括軟體定義無線電（SDR）、無線通信中的人工智慧/機器學習，特別關注電磁頻譜（EMS）的感知與操作，以及網路EMS安全。她是2024年IEEE第1區域傑出教學獎的獲得者，2020-2021年AFRL SDR超越5G大學挑戰的最佳團隊獎，以及2010年IEEE全球通信會議（GLOBECOM）的最佳演示獎。周博士擔任2025-2026年IEEE可靠性學會（RS）技術活動副會長，IEEE女性工程師的RS聯絡人，IEEE未來網路技術社群（FNTC）和IEEE物聯網技術社群（IoT TC）的指導委員會成員，以及IEEE未來網路透過導師計畫（FNEM）的共同主席。
