AI for Communication offers an engaging exploration into the diverse applications of AI within the realm of communication. By bridging the gap between the scientific and engineering realms of artificial intelligence and communication, this book reveals how AI, since its inception during the Dartmouth Summer workshop of 1956, has inherently been a science of communication. Exploring key advancements such as machine translation, natural language processing, large language models, computational creativity, and social robotics, this book shows how these innovations not only disrupt, but also actively transform, human communication.
The book is designed for students, teachers, and general readers who want to know how the field of communication impacts and influences the theory and practice of AI, and how recent developments in AI will affect all aspects of human social interaction.
Key Features:
· Provides a compelling introduction to the applications of AI in the field of Communication
· Raises critical questions regarding the limitations and the possibilities of AI applications in Communication
· Bridges the science and engineering practices of AI and the field of communication
Foreword
1. Introduction: AI and Communication
2. Machine Translation
3. Natural Language Processing
4. Social Robots
5. Large Language Models
6. Computational Creativity and Generative AI
7. The Future of Communication
References
Biography
David J. Gunkel is Professor of communication technology at Northern Illinois University (USA) and Associate Professor of applied ethics at Łazarski University (Poland). He is the author of fourteen books on the social impact and significance of digital media, artificial intelligence, and robotics.
