AI for Understanding Context

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.

Original languageAmerican English
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages1-114
Number of pages114
DOIs
StatePublished - 1 Jan 2024

Publication series

NameSpringerBriefs in Computer Science
VolumePart F3774

Keywords

  • AI for Context
  • AI for Social Norms
  • Augmented Intelligence
  • ChatGPT
  • Computational Content Analysis
  • Computational Psychology
  • Contextual Analysis
  • Contextual Machines
  • Deep Neural Networks
  • Large Language Models
  • Probabilistic Guessing Machines
  • Prompting

All Science Journal Classification (ASJC) codes

  • General Computer Science

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