Preface
Part I: Introduction and Orientation
1 Introduction
2 Communication and AI
3 Basic Concepts and Terminology
Part II: Applications
4 Machine Translation
5 Natural Language Processing
6 Computational Creativity
7 Social Robots
Part III: Impact and Consequences
8 Social Issues
9 Social Responsibility and Ethics
Part IV: Maker Exercises
Introduction
Exercise 1 – Demystifying ELIZA
Exercise 2 – Algorithms
Exercise 3 – Machine Translation
Exercise 4 – Chatbot and Quasi-Loebner Prize
Exercise 5 – Template NLG
Notes
References
Index
David Gunkel is Professor of Media Studies at Northern Illinois University.
“Gunkel’s book is an accessible but technically savvy monograph
introducing students and scholars of communication and computer
science to the intersections between AI and communication. …
Gunkel’s book will also be a particularly useful resource to
instructors, not only due to its accessible language and wide-
reaching scope, but also thanks to the five ‘Maker exercises’
included in the last section. These provide useful entry points for
students that are not versed in computer programming for
experimenting with simple computer programs.”
Communication Theory
“An introduction to communication and artificial
intelligence aims and succeeds in making sense of AI for
students and scholars in social sciences.”
Communications
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