Challenge to AI

Experience a deep dive into AI''s struggle with consciousness and ecological intelligence, blending philosophy and science.

Key Features

• Explores AI''s consciousness challenges
• Combines philosophy and science
• Analyzes human cognition complexity

Book Description

This book invites readers to explore where AI, consciousness, and human cognition intersect. It challenges existing notions in AI and cognitive science by arguing that true intelligence lies not in software but in the brain''s complex biochemical system, far removed from current AI architectures. Through examining time, perception, language, and thought, the book presents a compelling case for the indispensability of biology and consciousness in cognition, highlighting the profound differences between man and machine.The journey begins with an introduction to AGI and the brain''s resonance, moving through philosophical perspectives on perception and the external world. Readers will delve into the biochemical basis of cognition, exploring implicit and explicit memory, conscious cognition, voluntary actions, and the unique aspects of human speech and generative AI. The book culminates with discussions on affect, space, time, and the requirements for creating a conscious device.Understanding these concepts is crucial for advancing AI and cognitive science. This book transitions readers from conventional views to a new framework that integrates biology and consciousness, blending theory with profound insights. It is an essential resource for those seeking to understand the true nature of intelligence and the future of AI.

What you will learn

• Understand AI''s limitations
• Explore ecological intelligence
• Examine human consciousness
• Analyze AI and human speech
• Study generative AI
• Evaluate the problem of affect

Who this book is for

Ideal for AI researchers, philosophers, and cognitive scientists. Readers should have a basic understanding of AI concepts and an interest in the philosophical and cognitive aspects of intelligence. Pre-requisites include familiarity with AI fundamentals and cognitive science principles.