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Explainable Agency in Artificial Intelligence: Research and Practice

Explainable Agency in Artificial Intelligence: Research and Practice

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  • More about Explainable Agency in Artificial Intelligence: Research and Practice


Explainable agency (EA) is a subtopic of XAI that involves producing records of decisions made during an agent's reasoning, summarizing its behavior in human-accessible terms, and providing answers to questions about specific choices and the reasons for them. This book explores the concept of endowing intelligent agents with explainable agency and discusses challenges, recent research results, lessons learned from applications, and recommendations for future research directions in EA.

Format: Hardback
Length: 150 pages
Publication date: 22 January 2024
Publisher: Taylor & Francis Ltd


Explainable agency (EA) is a subtopic of explainable AI (XAI) that involves producing records of decisions made during an agent's reasoning, summarizing its behavior in human-accessible terms, and providing answers to questions about specific choices and the reasons for them. It differs from interpretable machine learning (IML), which focuses on providing insight (typically, for an ML expert) concerning a learned model and its decisions. Explainable agency typically involves a broader set of AI-enabled techniques, systems, and stakeholders (e.g., end users), where the explanations provided by EA agents are best evaluated in the context of human subject studies.

The chapters of this book explore the concept of endowing intelligent agents with explainable agency, which is crucial for agents to be trusted by humans in critical domains such as finance, self-driving vehicles, and military operations. The book presents the work of researchers from a variety of perspectives and describes challenges, recent research results, lessons learned from applications, and recommendations for future research directions in EA. The historical perspectives of explainable agency and the importance of interactivity in explainable systems are also discussed.

Ultimately, this book aims to contribute to the successful partnership between humans and AI systems.

Features:

Contributes to the topic of explainable artificial intelligence (XAI)

Focuses on the XAI subtopic of explainable agency

Includes an introductory chapter, a survey, and five other original contributions

Weight: 470g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032409139

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