Hua Wei – författare

This groundbreaking volume is designed to meet the burgeoning needs of the research community and industry. This book delves into the critical aspects of AI's self-assessment and decision-making processes, addressing the imperative for safe and reliable AI systems in high-stakes domains such as autonomous driving, aerospace, manufacturing, and military applications. Featuring contributions from leading experts, the book provides comprehensive insights into the integration of metacognition within AI architectures, bridging symbolic reasoning with neural networks, and evaluating learning agents' competency. Key chapters explore assured machine learning, handling AI failures through metacognitive strategies, and practical applications across various sectors. Covering theoretical foundations and numerous practical examples, this volume serves as an invaluable resource for researchers, educators, and industry professionals interested in fostering transparency and enhancing reliability of AI systems.

This book constitutes revised selected papers from International Workshops on AI Agent for Information Retrieval: Generating and Ranking, Agent4IR, taking place on October 25, 2024, in Boise, USA, and on March 4, 2025, in Pennsylvania, USA, and on August 3, 2025, in Toronto, Canada. The 12 full papers included in the book were carefully reviewed and selected from a total of 38 submissions. They focus on the latest theoretical advancements and practical implementations of AI agents in information retrieval, advance the field and enhance its societal impact.