Turing Test for the Internet of Things
This work addresses the need for standardized evaluation methods for AI in IoT, but it appears incremental as it adapts an existing test rather than introducing a new paradigm.
The paper tackles the problem of evaluating AI progress in Internet of Things devices by proposing adaptations to the Turing Test, addressing challenges in applying it to diverse IoT contexts.
How smart is your kettle? How smart are things in your kitchen, your house, your neighborhood, on the internet? With the advent of Internet of Things, and the move of making devices `smart' by utilizing AI, a natural question arrises, how can we evaluate the progress. The standard way of evaluating AI is through the Turing Test. While Turing Test was designed for AI; the device that it was tailored to was a computer. Applying the test to variety of devices that constitute Internet of Things poses a number of challenges which could be addressed through a number of adaptations.