Nobody Seems to Know What Consciousness Is, But We're Testing for It Anyway

There's a fascinating moment happening in AI research right now, and it's not about making language models bigger or robots more dexterous. Scientists are earnestly asking whether ChatGPT might be conscious. Whether honeybees possess subjective experience. Whether we can even tell the difference.

New studies are forcing researchers to confront an uncomfortable truth: we've been measuring consciousness all wrong. The traditional approach—observing behavior and making inferences—works about as well for AI as it does for insects, which is to say, not at all. A chatbot can discuss philosophy convincingly. A bee can navigate complex environments and communicate with peers. But behavior tells us almost nothing about what's actually happening inside.

This matters more than it might seem. As AI systems become more sophisticated and embodied in physical robots, questions about machine consciousness aren't just philosophical curiosities. They have practical implications for how we build, deploy, and regulate these systems. If we can't agree on what consciousness is or how to detect it, how do we make meaningful decisions about AI safety and ethics?

The research community is pivoting toward examining internal states rather than external actions. It's a recognition that consciousness—if it exists in non-human systems—might look nothing like what we expect. This shift is overdue but also revealing of a deeper problem: we're deploying increasingly powerful AI systems while lacking fundamental understanding of subjective experience.

Meanwhile, concerns are mounting about AI's impact on human cognition. Research from SXSW London suggests that heavy chatbot use might be weakening our attention spans and cognitive abilities. There's a cruel irony here—we're debating whether machines can think while simultaneously worrying that our interactions with them are making us think less effectively.

The consciousness question also intersects awkwardly with practical AI deployment. Courts are now grappling with AI-generated lawsuits, with judges occasionally questioning whether chatbots have rights. It's absurd on its face, but it reveals how unprepared our institutions are for AI systems that convincingly mimic human reasoning without necessarily possessing it.

What we're witnessing is a collision between rapid technological advancement and our glacial progress in understanding minds—human or otherwise. The AI industry has raced ahead with capabilities while the fundamental questions lag embarrassingly behind. We're building systems that can fool us into anthropomorphizing them, then struggling to figure out whether that anthropomorphization might occasionally be justified.

The honest answer is that we don't know. We don't know if bees are conscious. We don't know if ChatGPT has subjective experience. We don't even have a reliable framework for answering these questions. What we do know is that our current approach—behavioral observation—has reached its limits.

Perhaps the most important development here isn't any particular finding about consciousness, but rather the acknowledgment that we need entirely new methodologies. The shift from behavior to internal states represents genuine scientific humility. It's researchers admitting that the old tools don't work anymore.

Until we develop better approaches, we're essentially flying blind. We're deploying AI systems globally, integrating them into critical infrastructure, and allowing them to make consequential decisions—all while unable to answer basic questions about what's actually happening inside them. That should make everyone at least a little uncomfortable.