ALGOINTELLIGENCE

Algointelligence introduces, illustrates, and critically examines core artificial intelligence concepts, principles, and issues, discussing how digital technologies and AI advancements are changing our world. As the pace of innovation increases, understanding these transformations is no longer optional but essential; without it, individuals and institutions risk falling behind.

With extensive analysis of the relationships between humans and machines in this age of AI, and careful consideration of the ethics, safety, responsibility, and explainability of that relationship, this book is unique for its approach of combining established concepts and issues of computer science and AI with new media and info-communication technologies. A variety of sectors are discussed, including industry, justice, politics, culture, human relationships, and the workforce, in relation to key topics of data privacy, the AI Act, deep learning, large language models (LLMs), AI ethics and explainability, automatic decision systems, digital government, and digital administration.

This book is intended for advanced undergraduate and graduate students, researchers, and practitioners in the fields of artificial intelligence, machine learning, and Big Data analysis, as well as AI professionals, managers, sociologists, and the general public interested in the potential and risks of AI. With a forward-looking analysis and interpretation that not only discusses the current issues and changes that computer science and AI are bringing to the modern world but also addresses the future of these disruptive technologies, Algointelligence is a crucial read in the face of this new age.

Contents:

• Preface
• About the Author
• Introduction
• In a World of Algorithms
• In a Planetary Computer
• Programming Artificial Intelligence
• Social Media, Privacy, Chatbots and Narcissism
• AI in Digital Non-Things
• Big Data and Neural Control
• Artificial Narratives and GenAI
• Large Language Models: Words and Thoughts
• The Human Factor in the Digital Universe
• Data Ethics Meets AI Ethics
• AI Explainability and Accountability
• The Challenge of AI Safety
• The One-Dimensional Man in the AI Age
• Digital Politics and Learning Machines
• The Cultural and Regulatory Models of Algorithms
• Digital Governmentality: Control Procedures and Social Harms
• Artificial Justice
• From Learning Machines to Artificial General Intelligence
• Supplementary Material
• Index

Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of artificial intelligence, machine learning, and Big Data analysis. Also AI professionals, managers, sociologists, and educated public interested in AI potential and risks.