Artificial Intelligence - Ethics and the New World Order

This thought-provoking book explores the most promising and threatening technology imaginable artificial intelligence (AI) or thinking-machines. Following the shocking release of generative AI (ChatGPT) in 2022, questions about the future of humanity and our role as apex minds have exploded with great urgency. The book contributes uniquely to AI conversations in three main ways. First, it broaches questions often ignored by AI developers and tech-enthusiasts, including corporate responsibility and the role technology plays in the widespread manipulation of cultures for profit and power. Second, it asks big and unanswered questions about the nature of thinking, consciousness, morality, purpose, and the good life, as a means of laying the foundation needed to create a better AI. Third, by framing AI evolution in three unique stages of development Oz, Feallan, and Adouren it takes readers far beyond the present horizon of large language models. While being accessible to a wide audience, this book offers a thought-provoking examination of the most pressing questions and risks of AI.

Sommario

Chapter 1. Introduction.- Chapter 2. Oz Dynasty.- Chapter 3. Unshackling Dreams from the Hacker s Digital Chains.- Chapter 4. Feallan Dynasty.- Chapter 5. Adouren Dynasty.- Index.

Dettagli sul prodotto

• Autori: Jason C Robinson, Jason C. Robinson
• Editore: Springer, Berlin
• Lingue: Inglese, Tedesco
• Formato: Copertina rigida
• Pubblicazione: 06.07.2025
• EAN: 9783031940415
• ISBN: 978-3-0-3194041-5
• Pagine: 266
• Illustrazioni: VIII, 266 p.
• Categorie: Scienze umane, arte, musica > Filosofia > Altro; Künstliche Intelligenz, machine learning, Technologie, allgemein, Artificial Intelligence, Philosophy of Technology, Philosophy of Artificial Intelligence, ethics of artificial intelligence, thinking machines, Machine Thinking, Learning machines, Machine consciousness, Computer learning, Artificial intelligence and consciousness, Artificial intelligence evolution, Artificial intelligence models