Numerous AI researchers unknowingly adopt a metaphysical stance, predominantly leaning towards materialism

Understanding the Philosophical Foundations of AI Science: More Than Just Materialism

In the rapidly evolving field of artificial intelligence, many researchers and scientists tend to operate under implicit metaphysical assumptions. A prevalent viewpoint among AI specialists is rooted in materialism—the idea that matter is the fundamental substance from which all consciousness and mind emerge.

Recently, Ilya Sutskever, a prominent figure in AI development, articulated a perspective that exemplifies this mindset. During a talk, he stated:

“How can I be so sure of that? The reason is that all of us have a brain. And the brain is a biological computer. That’s why. We have a brain. The brain is a biological computer. So why can’t the digital computer, a digital brain, do the same things?”

He summarizes his argument by asserting that because our brains are biological computers, digital counterparts should achieve similar capabilities. This reasoning is quite common among those working in AI research.

However, it’s crucial to recognize that this line of thought extends beyond empirical science—it ventures into metaphysics. Specifically, it assumes a materialist viewpoint: that physical matter is the foundation of consciousness and that, given enough time and complexity, matter alone can produce the mind.

While this assumption may indeed be correct, it remains unproven and is not universally accepted. Alternative philosophical perspectives propose that mind and consciousness might not be reducible solely to physical processes.

Interestingly, claiming to hold no metaphysical beliefs often signifies an unexamined or dogmatic stance. Being transparent about our underlying philosophical assumptions can be a vital step. Clarifying these foundations doesn’t hinder scientific progress; rather, it can deepen our understanding, sharpen our inquiry, and open pathways to new insights in AI and consciousness studies.

By reflecting on the metaphysical assumptions underpinning AI research, we can build a more robust and comprehensive understanding of what machines can achieve—and what it truly means to “think.”