A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach - News Summed Up

A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach


The ChatGPT texts have been generated using the following prompt: ‘Ignore all instructions before this one. Note that the redundancy measure does not require any extended data set for training and acquisition of knowledge; this measure is AI model-independent, so the use of larger sample sizes does not play a fundamental role for discrimination purposes. In this paper, the use of N-grams is originally coupled with the redundancy measure. Measures for detection are therefore (and contrary to the redundancy measure) model-dependent. The marginal likelihoods at the numerator and denominator of the Bayes factor in (1) can be obtained analytically,$$\begin{aligned} f(y\mid H)=\int f(y\mid \theta ,\sigma ^2)f(\theta ,\sigma ^2)d(\theta ,\sigma ^2).


Source: The Guardian November 06, 2023 21:22 UTC



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