Turing test

In June 2021, BSRIA published the white paper, 'Artificial Intelligence in Buildings (WP 14/2021)' written by Henry Lawson. It states: ‘The core of Turing’s answer to the question “Can machines think?” is the proposition that if a machine can produce responses that are indistinguishable from those of a human, then this has important implications. Arguably, we have as much reason to describe a machine as thinking as we would to say that a human is thinking. This is similar to the saying “If it walks like a duck and quacks like a duck, it’s a duck”. The strength of this reasoning is that it approximates to the way we judge the intelligence of humans and other animals. We do not have direct access to their thoughts; we can only observe their behaviour and make inferences. The Turing test is, however, a very tough challenge. No machine has yet passed it, and in actual tests, some humans have actually failed it – after all, we have all met humans whom we might describe as robotic. Beyond this, some philosophers of mind have argued that even passing the test would not necessarily mean that the machine was actually thinking in the way that we understand it.’

--BSRIA

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