The general problem is that you can't really prove that you have subjective experience to others, and neither can you determine if others have it, or whether they merely act like they have it.
But, a somewhat obvious difference between AIs and humans is that AIs will never give you an answer that is not statistically derivable from their training dataset. You can give a human a book on a topic, and ask them about the topic, and they can give you answers that seem to be "their own conclusions" that are not explicitly from the book. Whether this is because humans have randomness injected into their reason, or they have imperfect reasoning, or some genuine animus of "free will" and consciousness, we cannot rightly say. But it is a consistent difference between the humans and the AIs.
The Monty Hall problem discussed in the article -- in which AIs are asked to answer the Monty Hall problem, but they are given explicit information that violate the assumptions of the Monty Hall problem -- is a good example of something where a human will tend to get it right, through creativity, while an AI will tend to get it wrong, due to statistical regression to the mean.