TY - CHAP
T1 - AI for Understanding Context
AU - Neuman, Yair
N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Context is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories. Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors. The book may interest a wide variety of readers seeking to incorporate AI into their understanding of human behavior.
AB - Context is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories. Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors. The book may interest a wide variety of readers seeking to incorporate AI into their understanding of human behavior.
KW - AI for Context
KW - AI for Social Norms
KW - Augmented Intelligence
KW - ChatGPT
KW - Computational Content Analysis
KW - Computational Psychology
KW - Contextual Analysis
KW - Contextual Machines
KW - Deep Neural Networks
KW - Large Language Models
KW - Probabilistic Guessing Machines
KW - Prompting
UR - http://www.scopus.com/inward/record.url?scp=85216932301&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-031-64210-4
DO - https://doi.org/10.1007/978-3-031-64210-4
M3 - Chapter
T3 - SpringerBriefs in Computer Science
SP - 1
EP - 114
BT - SpringerBriefs in Computer Science
PB - Springer
ER -