AI for 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.

AI for Communication offers an engaging exploration into the diverse applications of artificial intelligence (AI) within the realm of communication. By bridging the gap between the scientific and engineering realms of AI 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.

Autorentext

David J. Gunkel is Professor of communication technology at Northern Illinois University (USA) and Associate Professor of applied ethics at azarski University (Poland). He is the author of fourteen books on the social impact and significance of digital media, artificial intelligence, and robotics.

Inhalt

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