Explainable Human-AI Interaction

A Planning Perspective

AvSarath Sreedharan,Anagha Kulkarni

Häftad, Engelska, 2022

Del i serien Synthesis Lectures on Artificial Intelligence and Machine Learning

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Beskrivning

To do this effectively, AI agents need to go beyond planning with their own models of the world, and take into account the mental model of the human in the loop. At a minimum, AI agents need approximations of the human's task and goal models, as well as the human's model of the AI agent's task and goal models.

Produktinformation

Utgivningsdatum:2022-01-27
Mått:191 x 235 x 11 mm
Vikt:363 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Artificial Intelligence and Machine Learning
Antal sidor:164
Förlag:Springer International Publishing AG
ISBN:9783031037573
Originaltitel:Explainable Human-AI Interaction

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Tillämpad matematik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Sarath Sreedharan is a Ph.D. student at Arizona State University working with Prof. Subbarao Kambhampati. His primary research interests lie in the area of human-aware and explainable AI, with a focus on sequential decision-making problems. Sarath’s research has been featured in various premier research conferences, including IJCAI, AAAI, AAMAS,ICAPS, ICRA, IROS, etc., and journals like AIJ. He was also the recipient of Outstanding Program Committee Member Award at AAAI-2020.Anagha Kulkarni is an AI Research Scientist at Invitae. Before that, she received her Ph.D. in Computer Science from Arizona State University. Her Ph.D. thesis was in the area of human-aware AI and automated planning. Anagha’s research has been featured in various premier conferences like AAAI,IJCAI, ICAPS, AAMAS, ICRA, and IROS.Subbarao Kambhampati is a professor in the School of Computing & AI at Arizona State University. Kambhampati studies fundamental problems in planning and decision making, motivated in particular by the challenges of human-aware AI systems. He is a fellow of the Association for the Advancement of Artificial Intelligence, the American Association for the Advancement of Science, and the Association for Computing Machinery, and was an NSF Young Investigator. He was the president of the Association for the Advancement of Artificial Intelligence, trustee of the International Joint Conference on Artificial Intelligence, and a founding board member of Partnership on AI. Kambhampati’s research, as well as his views on the progress and societal impacts of AI, have been featured in multiple national and international media outlets.

Innehållsförteckning

Preface.- Acknowledgments.- Introduction.- Measures of Interpretability.- Explicable Behavior Generation.- Legible Behavior.- Explanation as Model Reconciliation.- Acquiring Mental Models for Explanations.- Balancing Communication and Behavior.- Explaining in the Presence of Vocabulary Mismatch.- Obfuscatory Behavior and Deceptive Communication.- Applications.- Conclusion.- Bibliography.- Authors' Biographies.- Index.