You could but is there any reason to believe these two noisy signals wouldn't result in more combined noise than signal?
Sure, it's theoretically possible to add two noisy signals that are uncorrelated and get noise reduction, but is it probable this would be such a case?
It all depends on the properties of the signal and the noise. In photography you can combine multiple noisy images to increase the signal to noise ratio. This works because the signal increases O(N) with the number of images but the noise only increases O(sqrt(N)). The result is that while both signal and noise are increasing, the signal is increasing faster.
I have no idea if this idea could be used for AI detection, but it is possible to combine 2 noisy signals and get better SNR.
If the noisy signals are not completely correlated then the signal would be enhanced; however in this case I imagine that there is likely to be a strong correlation between different tools which would mean adding additional sources may not be so useful.
