Many AI scientists unconsciously assume a metaphysical position. It’s usually materialism

Understanding the Metaphysical Foundations of AI Assumptions: A Closer Look

In the field of artificial intelligence, many researchers unconsciously adopt a metaphysical stance—predominantly rooted in materialism—that shapes their understanding of consciousness and cognition. This underlying philosophy often goes unnoticed but plays a crucial role in how AI development is conceptualized.

Recently, Ilya Sutskever, a prominent figure in AI research, articulated a common reasoning pattern:

“The human brain is essentially a biological computer. Since we know the brain can perform complex tasks, why can’t a digital computer—a digital brain—do the same?”

This perspective suggests that because our brains function as biological computers, replicating or surpassing such capabilities with artificial systems is fundamentally feasible. Such logic is widespread in AI circles and informs many expectations about technological progress.

However, it’s important to recognize that this kind of reasoning carries a philosophical assumption: that the mind is entirely reducible to matter. This is a form of philosophical materialism—the view that physical matter and its interactions are sufficient to explain consciousness, cognition, and experience.

While materialism is a compelling and influential perspective, it remains a metaphysical position—one that is neither universally proven nor universally accepted. Alternative philosophical frameworks contend that consciousness might involve non-material aspects, such as qualia or other non-physical properties, which cannot be fully explained by physical processes alone.

Ironically, claims of having no metaphysical assumptions often mask underlying dogmas. In scientific and technological pursuits, explicitly acknowledging our philosophical foundations can be valuable. Clarifying these assumptions doesn’t hinder progress; it can sharpen our understanding and guide more nuanced approaches to AI development.

In summary, as we push forward in artificial intelligence, it’s worthwhile to examine the philosophical lenses through which we interpret the nature of mind and intelligence. Recognizing these underlying positions can lead to more robust, reflective, and potentially innovative scientific inquiry.

Sources & Further Reading:

• Video testimony of Ilya Sutskever on AI and the brain: Watch here

Author’s Note: Embracing philosophical clarity may enrich our pursuit of artificial intelligence, fostering a more profound understanding of what it truly means to replicate or surpass human cognition.