Explainable agency in artificial intelligence: research and practice
"This book focuses on a subtopic of Explainable AI (XAI) called Explainable Agency (EA), which 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 rea...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2024
|
| Ausgabe: | First edition |
| Schriftenreihe: | Chapman & Hall/CRC artificial intelligence and robotics series
|
| Schlagworte: | |
| Online-Zugang: | DE-824 Volltext |
| Zusammenfassung: | "This book focuses on a subtopic of Explainable AI (XAI) called Explainable Agency (EA), which 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. We distinguish explainable agency from Interpretable Machine Learning (IML), another branch of XAI that focuses on providing insight (typically, for an ML expert) concerning a learned model and its decisions. In contrast, 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. This 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"-- |
| Beschreibung: | OCLC-licensed vendor bibliographic record |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781003355281 1003355285 9781003802877 1003802877 9781003802921 1003802923 |
| DOI: | 10.1201/9781003355281 |
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Datensatz im Suchindex
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| illustrated | Not Illustrated |
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| spelling | Explainable agency in artificial intelligence research and practice edited by Silvia Tullil and David W. Aha First edition Boca Raton, FL CRC Press 2024 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC artificial intelligence and robotics series OCLC-licensed vendor bibliographic record "This book focuses on a subtopic of Explainable AI (XAI) called Explainable Agency (EA), which 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. We distinguish explainable agency from Interpretable Machine Learning (IML), another branch of XAI that focuses on providing insight (typically, for an ML expert) concerning a learned model and its decisions. In contrast, 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. This 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"-- COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Social Aspects / General bisacsh Reinforcement learning Artificial intelligence Decision making Tullil, Silvia edt Aha, David W. edt Erscheint auch als Druck-Ausgabe 1032392584 Erscheint auch als Druck-Ausgabe 1032409134 Erscheint auch als Druck-Ausgabe 9781032392585 Erscheint auch als Druck-Ausgabe 9781032409139 https://doi.org/10.1201/9781003355281 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Explainable agency in artificial intelligence research and practice COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Social Aspects / General bisacsh Reinforcement learning Artificial intelligence Decision making |
| title | Explainable agency in artificial intelligence research and practice |
| title_auth | Explainable agency in artificial intelligence research and practice |
| title_exact_search | Explainable agency in artificial intelligence research and practice |
| title_full | Explainable agency in artificial intelligence research and practice edited by Silvia Tullil and David W. Aha |
| title_fullStr | Explainable agency in artificial intelligence research and practice edited by Silvia Tullil and David W. Aha |
| title_full_unstemmed | Explainable agency in artificial intelligence research and practice edited by Silvia Tullil and David W. Aha |
| title_short | Explainable agency in artificial intelligence |
| title_sort | explainable agency in artificial intelligence research and practice |
| title_sub | research and practice |
| topic | COMPUTERS / Artificial Intelligence bisacsh COMPUTERS / Social Aspects / General bisacsh Reinforcement learning Artificial intelligence Decision making |
| topic_facet | COMPUTERS / Artificial Intelligence COMPUTERS / Social Aspects / General Reinforcement learning Artificial intelligence Decision making |
| url | https://doi.org/10.1201/9781003355281 |
| work_keys_str_mv | AT tullilsilvia explainableagencyinartificialintelligenceresearchandpractice AT ahadavidw explainableagencyinartificialintelligenceresearchandpractice |