AI-driven upscaling which fills in pixels using data from other images is quite different to algorithmic interpolation that only uses the available information in the image being worked on.
One that relies on a neural network trained on other images is not, it might produce a subtly different image each time it's run and introduce artefacts from other images.
All of the standard zoom algorithms fall into that category. Whether bilinear, nearest neighbour, or similar, they’re all going to produce similar outcomes with which, importantly, a teenaged witness on the stand will be familiar. Same with the way TVs upscale content.
It’s not like this is new evidence being introduced in its zoomed-in form. It’s an iPad and footage or images being used in the same way prosecutors and defence attorneys have used them for years when cross-examining witnesses.
In the end the iPad was not used.