Beyond Intelligent Machines: Consciousness, Control, and the Future of Artificial Intelligence
eBook - ePub

Beyond Intelligent Machines: Consciousness, Control, and the Future of Artificial Intelligence

  1. 212 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Beyond Intelligent Machines: Consciousness, Control, and the Future of Artificial Intelligence

About this book

Artificial intelligence has crossed a historic threshold. What began as narrow automation and pattern recognition has evolved into systems capable of reasoning, generating knowledge, shaping economies, influencing geopolitics, and challenging how we define intelligence and humanity itself. AI is no longer merely a supporting technology—it is becoming a foundational force shaping modern civilization.

Beyond Intelligent Machines: Consciousness, Control, and the Future of Artificial Intelligence examines what lies beyond today's AI systems. The book explores not only how AI works, but what it is becoming and how its trajectory may reshape power, identity, labor, security, and even consciousness. Topics range from large language models and agentic AI to embodied intelligence, emotional systems, and emerging questions about machine autonomy and artificial awareness.

Rather than treating AI purely as a technical achievement, the book frames it as a socio-technical system embedded within culture, economics, ethics, and global competition. It confronts critical questions: What happens when intelligence scales faster than governance? Can machines exhibit agency without intention? How do we maintain meaningful human oversight as decision-making systems become increasingly autonomous?

Written for readers seeking to understand where AI is headed—not just how it works—this book argues that the future of AI will be shaped not only by algorithms, but by the values, constraints, and choices we embed within them today.

Information

Year
2026
Print ISBN
9788743812975
Edition
1
eBook ISBN
9788743813026

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Dedication
  7. Contents
  8. Preface
  9. List of Figures
  10. List of Abbreviations
  11. Introduction
  12. 1 What is Artificial Intelligence?
  13. 2 Understanding the Foundations of Large Language Models (LLMs)
  14. 3 Will AI Fight for Its Own Survival? Exploring the Limits of Machine Self-Preservation
  15. 4 Can AI Build a Time Machine? Exploring the Science, Limits, and Speculative Future of Time Travel
  16. 5 The Rise of Conscious AI: When and How Artificial Intelligence May Achieve Awareness
  17. 6 AI and Human Identity: The New Frontier of Selfhood
  18. 7 The Landscape of AI and Machine Learning Techniques: A Deep Dive
  19. 8 Model Context Protocol (MCP): The Nervous System of Smarter AI
  20. 9 The Global AI Arena in 2030: Navigating Trade Winds and a Truly Multipolar Technological Landscape
  21. 10 Why AI Fails: From Data to Deployment
  22. 11 Vibe Programming: Where Emotion Meets Code
  23. 12 AI Factory: The Future of Scalable Artificial Intelligence
  24. 13 The Learning Concept Model (LCM) in AI: A New Paradigm for Intelligent Systems
  25. 14 AI Without Regulations or Guardrails: A Risky Path Forward
  26. 15 The Rise of Physical AI: Bridging Artificial Intelligence with the Tangible World
  27. 16 Agentic AI: The Rise of Autonomous Intelligence
  28. 17 Emotion AI: Unlocking the Power of Emotional Intelligence
  29. 18 What AI Strategists Do: Roles, Responsibilities, and Challenges
  30. 19 AI: Will It Take Your Job? Understanding the Fear and the Reality
  31. 20 The Worst Applications of AI: Ethical Concerns and Societal Impacts
  32. 21 Understanding “Robot Suicide”: Metaphor, Self-Destruction, and Technical Malfunctions in AI
  33. 22 AI Security
  34. 23 Slop in AI: The Hidden Challenge of Messy Data and Imprecise Models
  35. 24 The AI Stack
  36. 25 Retrieval-Augmented Generation (RAG) and Artificial Intelligence
  37. 26 Spatial AI: Transforming the World with Intelligent Spatial Understanding
  38. 27 Small Language Models (SLMs): Compact AI with Practical Applications
  39. 28 Large Behavior Models (LBMs): The Next Frontier in Artificial Intelligence
  40. 29 Why Companies Fail in Their AI Projects: Lessons from the Frontlines
  41. Index
  42. About the Author

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Yes, you can access Beyond Intelligent Machines: Consciousness, Control, and the Future of Artificial Intelligence by Ahmed Banafa in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.