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

Understanding the Metaphysical Foundations of Artificial Intelligence

In discussions about artificial intelligence and its potential, many researchers and scientists often operate under implicit metaphysical assumptions—most notably, a materialist perspective. This worldview posits that consciousness, intelligence, and mind emerge solely from physical matter, specifically biological processes.

Recently, prominent AI researcher Ilya Sutskever articulated this position during a talk, stating:

“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? This is the core reasoning behind why AI could achieve similar capabilities—because our brain is a biological computer.”

Watch the full talk here

This line of reasoning—that the brain’s computational nature suggests digital computers might replicate or surpass human cognition—is quite prevalent within AI discourse. However, it’s crucial to recognize that such assumptions are not purely scientific; they are rooted in a metaphysical stance, specifically materialism—the idea that physical matter is the foundation and origin of consciousness.

While materialism is a compelling and widely accepted hypothesis, it remains an assumption rather than an empirically proven fact. Alternative philosophical perspectives challenge the view that consciousness arises solely from matter, opening the door to other models of mind and intelligence.

Ironically, the claim that one’s perspective is purely scientific and free of philosophical assumptions often conceals an underlying metaphysical position. Clarifying our foundational beliefs about the nature of consciousness and matter can be instrumental—not a hindrance—in advancing our understanding of AI. Transparency about these philosophical underpinnings may enhance the rigor and creative potential in developing future technologies.

By examining and questioning the assumptions we hold, the field of artificial intelligence can progress with a more nuanced and open-minded approach, fostering innovation rooted in philosophical clarity.