As AI Advances, Experts Question Usefulness of Turing Test for Measuring Intelligence

The Turing test, proposed in 1950, suggests AI is intelligent if humans can't tell they are talking to a machine vs another human after 5 minutes of questioning.

Recent large language models like GPT-4 have come close to passing the Turing test, but it has limitations as a test of intelligence.

The Turing test focuses on human cognition and risks false positives or negatives. It doesn't test for consciousness or moral significance.

Better ways to measure AI intelligence are benchmarks testing performance across diverse tasks, like language understanding and ability to achieve goals.

Rather than asking if AI is intelligent, it's more useful to assess what types of intelligence AI systems demonstrate as capabilities rapidly improve.