Turing Test for the Internet of Things
Neil Rubens

TL;DR
This paper explores adapting the Turing Test to evaluate the intelligence of Internet of Things devices, addressing unique challenges posed by diverse physical devices and their AI capabilities.
Contribution
It proposes adaptations of the Turing Test framework specifically for IoT devices to assess their level of 'smartness' effectively.
Findings
Identifies challenges in applying Turing Test to IoT devices
Proposes modified evaluation protocols for IoT
Highlights the need for new benchmarks in IoT intelligence
Abstract
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.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · DNA and Biological Computing · Cellular Automata and Applications
