I have no definitive information, but I highly doubt it. Why? Moore's Law.
In short, the very same technology that is (gradually) enabling "artificial intelligence" (or more specifically, machine learning) is also making those "old systems" totally, utterly obsolete.
Think about it: The incredibly inexpensive computers like Raspberry Pi ($35, I think less for some versions), Android phones (many basic models - which are not so basic, including a display, dual cameras, WiFi, cellular, etc. - for under $50), replace computers that cost hundreds or even thousands of dollars just a few years ago (even many computers that are still too new to be on topic for this Retrocomputing site). So making use of those older computers only provides a very minimal cost savings compared to just buying a new computer.
On the other side of the equation, AI/machine learning still pushes the limits of today's technology. By the time you build up the hardware and software to analyze the old driver software, just to be able to connect to some old stuff, you could have bought new stuff (e.g., < $100 laser printers to replace old $2,000 printers and the new ones are 3 times as fast as the old ones and print double-sided too).
Retrocomputing is fun and interesting - or I wouldn't be posting here. But to use leading-edge technology to make partial use (since if was old computers to old peripherals then you wouldn't need to reverse engineer the driver software - you would use it "as is") just doesn't make financial sense.