Reliability and cost issues aside... (but not forgotten)...
AI could be useful for the technical diver if it provided a warning that compared available gas against planned dive and deco schedule. It'd be a purely baseline safeguard... as the tech diver should have plenty sufficient gas. Nonetheless, the unanticipated can occur and divers have been left with insufficient deco gas before.
I'm not sure whether tech divers would want that comparison using ATR or pre-designated SAC/s. These could be: deco/resting (low), working (med), and elevated (hi). The computer could default to 'med' on the bottom and 'low' in deco...or the diver could pre-designate. The diver could also amend the SAC in-water as the situation dictated.
I think I'd prefer a pre-designated SACs... but an AI computer could simply warn if actual consumption deviated from that pre-designated SAC by a significant margin.
How I envision that'd work... The tech diver would have to program each transmitter into their computer, to include the gas type and volume of the tank. That'd be a timely process and would demand some personal and team protocol to prevent human errors in the pre-dive phase. The programming of the computer would need to be confirmed, as would the syncing of the correct transmitter to the correct input gas. The functionality of each transmitter would also need to be confirmed (maybe the computer could cycle through a battery check - as per modern CCR electronic checks)
As the dive progresses, the computer calculates the deco schedule as per normal, based on the gasses it knows the diver is carrying (this already happens with computers like the Petrel). At the same time, it predicts the necessary gas consumption/volume for each available gas needed to perform the real-time scheduled deco ascent. When the predicted gas consumption reaches 2/3rds of the known gas carried (rule of 1/3rds), it issues a warning.
Should any gas lose volume, or the SAC rise beyond pre-inputted predictions, then the computer would issue a warning. If a gas became entirely unavailable, then the diver would immediately de-select that gas from the computer. The computer would, as normal, recalculate the decompression schedule based on the new gas situation.
If the available (selected) gasses were predicted to be insufficient to allow the calculated decompression, then the computer could ask/suggest whether the diver wanted a bailout strategy - yes or no.
The diver would select 'no' if they could complete the designated deco using an 'off-sensor' gas supply (i.e. gas donation from team member).
If the diver had no 'off-sensor' gas supply, they'd select 'yes'. That strategy could then provide the 'best-chance' decompression based on what gas/ses were available. This could include:
1. Re-planning deco using other available gasses.
2. Changing the deco curve to allow shallower stops, if that extended gas supply sufficiently to allow acceptable deco.
3. Reducing conservatism to permit the best possible deco given limited gas.
Or a combination of all 3. Basically, it'd be an exercise in shifting Gradient Factors intelligently to allow the best off-gassing with what gas the diver had at their disposal.
However... the bulk of this could be done without AI on a current generation tech computer. It'd be relatively easy to provide a software solution to gas versus time; where the diver simply input the volumes of the gasses carried and their SAC rate/s. The computer can work out the rest, as it knows the depth and deco obligation. AI would
still only provide a benefit if the actual SAC varied (unnoticed) from the predicted SAC or, potentially, where a partial loss of gas occurred.
Until now, tech divers have to do this mentally. The hardest tangible is predicting the best possible decompression based on an insufficient gas supply. There'd be considerable debate in the tech community on any algorithm that attempted to provide a solution to that. Honestly, I don't know if any computer manufacturer would want that liability....
I will leave it to the reader to decide whether they feel 'technical' AI would adhere to the K.I.S.S. principle.