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Does Machine Understanding Require Consciousness?

Robert Pepperell1

  • 1Fovolab, Cardiff Metropolitan University, Cardiff, United Kingdom.

Frontiers in Systems Neuroscience
|June 6, 2022
PubMed
Summary
This summary is machine-generated.

Machine understanding may require consciousness, challenging the view that only task performance matters. Natural understanding in humans, unlike artificial systems, involves consciousness, potentially explaining superior cognitive abilities and genuine semantic processing.

Keywords:
brain modellingconsciousnessmachine learningnaturalismunderstanding

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Neuroscience

Background:

  • Current machine learning systems show success in tasks like natural language processing and image classification.
  • Questions persist regarding the limitations of machine learning and whether their abilities constitute genuine understanding or rely on spurious correlations.

Purpose of the Study:

  • To explore the necessity of consciousness for machine understanding.
  • To differentiate between natural, artificial, and machine understanding.
  • To propose a hypothesis on the role of consciousness in understanding.

Main Methods:

  • Analysis of concrete examples of natural understanding in humans.
  • Comparison of natural understanding with artificial understanding in current machine learning systems.
  • Review of evidence from psychology and neurobiology regarding consciousness and cognitive performance.

Main Results:

  • Natural understanding in humans inherently involves consciousness, a key difference from artificial systems.
  • Consciousness may contribute to superior human performance in certain cognitive tasks.
  • Consciousness is linked to the authenticity of semantic processing in natural understanding.

Conclusions:

  • Consciousness is a crucial component of natural understanding, distinguishing it from artificial intelligence.
  • A naturalistic approach, closely modeling natural processes, may advance human-like machine understanding.
  • Further research into the link between consciousness and understanding is warranted for AI development.