We are interacting with artificial intelligence online not only more than ever — but more than we realize — so researchers asked people to converse with four agents, including one human and three different kinds of AI models, to see whether they could tell the difference.
ELIZA, a system pre-programmed with responses but with no large language model or neural network architecture, was judged to be human just 22% of the time. GPT-3.5 scored 50% while the human participant scored 67%. "They can be subject to cognitive biases, bamboozled and manipulated, and are becoming increasingly deceptive. All these elements mean human-like foibles and quirks are being expressed in AI systems, which makes them more human-like than previous approaches that had little more than a list of canned responses."
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