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Biological mechanisms contradict AI consciousness: The spaces between the notes.
William B Miller1, František Baluška2, Arthur S Reber3
1Bioverse Foundation, Paradise Valley, AZ, United States.
Bio Systems
|December 30, 2024
Summary
Artificial intelligence (AI) consciousness is unlikely if consciousness is a cellular attribute. Current AI models lack the biological information processing inherent in nervous systems, challenging assumptions about machine consciousness.
Area of Science:
- Neuroscience
- Artificial Intelligence
- Philosophy of Mind
Background:
- The debate on artificial intelligence (AI) consciousness often assumes it requires a nervous system and brain.
- Current AI consciousness research focuses on mimicking brain functions and information processing.
- Prevailing assumptions posit AI consciousness as achievable through functional information density and integration.
Purpose of the Study:
- To challenge the prevailing assumptions about AI consciousness.
- To explore the implications of viewing consciousness as a cellular attribute.
- To highlight fundamental differences between biological and machine information processing.
Main Methods:
- Conceptual analysis of consciousness as a cellular attribute.
- Comparison of biological information processing in cells with machine-based AI systems.
- Critique of current AI consciousness paradigms based on functionalism.
Main Results:
- Consciousness stipulated as a cellular attribute directly contradicts current AI consciousness premises.
- Biological information processing by individual cells has no parallel in current AI.
- Machine-based AI systems fundamentally differ from biological systems in information management.
Conclusions:
- The assertion of computer-based AI consciousness represents a fundamental misapprehension.
- The cellular basis of consciousness presents a significant barrier to achieving AI consciousness.
- Crucial differences in biological information processing must be considered in AI consciousness debates.
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