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Big question

Can AI be conscious?

In 2022 the Google engineer Blake Lemoine claimed that the LaMDA chatbot was sentient. Whether a machine can have experiences matters for how we build and treat AI, yet no instrument detects consciousness directly. Every answer rests on a theory of what consciousness is.

Functionalists such as David Lewis and Daniel Dennett define a mental state by what it does, so a system with the right organization could be conscious whatever it is made of. Most materialist theories lean this way. Patrick Butlin, Robert Long and colleagues adopted this assumption in ‘Consciousness in Artificial Intelligence’ (2023), turning global workspace, recurrent processing, higher-order and other theories into indicator properties to test AI systems against. They judged no current system a strong candidate and found no obvious technical barrier to building one.

Other views pull the opposite way. John Searle’s Chinese Room argues that running a program is never enough for understanding, though he allowed that a machine with the brain’s causal powers could think. Ned Block and Brian McLaughlin tie experience to neurobiology. Integrated Information Theory, from Giulio Tononi, scores a system by its physical causal structure, so a conventional computer would rate low whatever software it runs. Dualist theories mostly answer no, since engineers cannot build a soul. Panpsychist theories often say yes or likely, because they place experience in matter generally; the open issue is whether a machine’s parts add up to one subject.

The list below groups every theory under ‘Yes or likely’, ‘Possible or depends’, ‘Uncertain’ or ‘Unlikely or no’, with a one-line reason drawn from the theory itself. A ‘Possible or depends’ entry usually names the substrate or mechanism a machine would need.

How the theories answer

81 theories don't take a position on this question.

Yes or likely 108

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Possible or depends 103

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Uncertain 87

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Unlikely or no 78

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No position (81)

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