Since there are no comments after 4 hours, I'll write a longer one. I read this paper a while back and learned that the Turing Test, even if it was purely a te

Since there are no comments after 4 hours, I'll write a longer one. I read this paper a while back and learned that the Turing Test, even if it was purely a test for imitating a human rather than specifically a woman, is still greatly underspecified. It depends a lot on who is being tested, what questions they ask, how long can they have this conversation, and how the human being tested responds. I would like to propose a different test that is more clearly specified and has more modern day relevance, that I call the imPoster test. The imPoster Test evaluates whether a human can judge whether a sample of social sharing activity is from someone they already know, or if it is generated by computer software (a bot) to imitate that person. Like a Twitter or Instagram feed. Therefore, the relationship between the judge and who they're evaluating is controlled rather than random. It can be set up like the original Turing Test Imitation Game, where the judge sees the feeds from both the bot and their friend, but doesn't know which is which. This test has a few desirable properties compared to the Turing Test: 1) Variation from the conversation is reduced, as the communication is purely one-way, and the judge is trying to determine if it is a known specific person rather than a random person (who can exhibit an unpredictable wide range of behaviors). 2) We're testing a form of digital identity of a person, which can build on more parts of artificial intelligence (user modeling, computer vision, NLP, social graph), rather than ad-hoc conversation which is mostly NLP. 3) Rather than a resulting "pass" or "fail" decision, it is possible compute a score based on how many posts a judge correctly labels as belonging to the poster. I'd be interested in hearing if others think this is an interesting challenge as an AI benchmark.