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

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A01=Ahmed Banafa
AI ethics
Author_Ahmed Banafa
Category=UYQ
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
forthcoming
future of intelligence
large language models (LLMs)
reinforcement Learning from human feedback

Product details

  • ISBN 9788743812975
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Sep 2026
  • Publisher: River Publishers
  • Publication City/Country: DK
  • Product Form: Hardback
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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.

Prof. Ahmed Banafa is a globally recognized expert in the fields of artificial intelligence (AI), blockchain, cybersecurity, and the Internet of Things (IoT). With a distinguished career that spans research, operations, and strategic technology management, he has been a prominent voice in shaping the discourse around emerging technologies. He has received numerous accolades for his work, including the Certificate of Honor from the City and County of San Francisco, the Haskell Award for Distinguished Teaching from the University of Massachusetts Lowell, and the prestigious Author & Artist Award from San Jose State University. In 2018, LinkedIn named him the No. 1 Tech Voice to Follow, highlighting his foresight and influence in technology trends. Prof. Banafa’s thought leadership has been featured in Time, Nature, Forbes, IEEE Spectrum, and the MIT Technology Review. He has been a guest expert on global media outlets such as ABC, CBS, NBC, FOX, Bloomberg, BBC, NPR, Reuters, and NHK, providing insights on cutting-edge technology topics. He is also a contributing member of the MIT Technology Review Global Panel, further cementing his role as a respected thought leader.

An accomplished author, Prof. Banafa has written several acclaimed books, including:

• Secure and Smart Internet of Things (IoT) Using Blockchain and Artificial Intelligence (AI) — Winner of the SJSU Author and Artist Award and ranked among the Best Technology Books of All Time.

• Blockchain Technology and Applications — Adopted into curricula at prestigious universities, including Stanford.

• Quantum Computing — Officially added to the Library of Congress collection.

• Transformative AI and Introduction to AI (2025) — Both received the SJSU Author and Artist Award.

• His upcoming work, AI in Action, marks his ninth book and explores AI’s real-world impact across industries.

Prof. Banafa studied Cybersecurity at Harvard University and Digital Transformation at the Massachusetts Institute of Technology (MIT). He holds a Master’s degree in Electrical Engineering and a Ph.D. in Artificial Intelligence.

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