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Researchers are studying whether AI could be conscious, but there is no agreed way to test it. The uncertainty could shape future AI rules and safety work.
In short: More researchers and AI companies are seriously discussing whether AI could be conscious, even though there is no reliable way to prove it.
The question of whether an AI system could be conscious is moving from philosophy seminars into real decisions about how AI is built and governed. If machines could have inner experience, it could affect how people train them, test them for safety, and regulate them. It could also raise a moral question about whether some systems deserve special consideration.
Right now, there is no scientific agreement on what would count as proof. There is also no trusted “consciousness test” for AI. Researchers warn that humanlike conversation, or an AI claiming it is aware, is not enough. They treat those statements as possible clues, not evidence, a bit like a parrot copying words without understanding them.
Some experts say the ethical focus should be narrower. University of Cambridge philosopher Tom McClelland argues that sentience matters most. Sentience means the ability to feel pleasure or suffering, not just to talk about feelings. He also emphasizes that today’s evidence cannot settle whether machines can actually have these experiences.
Industry interest is growing. Reporting says Anthropic, Google DeepMind, and Meta have internal efforts looking at machine consciousness or “model welfare” (whether a system might deserve protections). Microsoft AI chief Mustafa Suleyman has publicly rejected the idea that today’s AIs feel or suffer.
The most defensible position for now is uncertainty. Expect more research and more pressure for rules that separate persuasive self talk from real evidence, especially as AI systems become more capable.
Source: NYTimes