Source: PhilArchive

This philosophical paper delves into the question of whether neural networks, the foundational technology behind much of modern AI, can be said to "think." The author examines the cognitive capabilities of neural networks, differentiating between their ability to process information and the human concept of thinking, which involves consciousness, intentionality, and self-awareness.

The paper explores theories of mind and cognition, comparing biological and artificial systems. While neural networks can simulate certain cognitive functions, such as pattern recognition and decision-making, they lack the subjective experience and understanding characteristic of human thought.

Key arguments include the limitations of neural networks in comprehending meaning and the ethical implications of attributing human-like qualities to AI. The paper calls for careful consideration of how we define intelligence and cognition, especially as AI systems become more integrated into society.

This discussion highlights the intersection of philosophy, technology, and ethics, encouraging deeper reflection on the role and limitations of AI in our understanding of thought and intelligence.