Training an AI model to recognize objects is a necessary condition, but with a 60% probability it is not sufficient for a Festo robotic hand to delicately grasp an apple.
The prior is that AI identifies the apple, but the posterior depends on other factors.
Imagine an AI system that identifies an apple with 99% certainty, but if the force sensor calibration is faulty or there is a bug in the software, the apple will be crushed, like when connecting a new keyboard that types nonsense.
There is about a 75% chance that without precise programming of movements and force, even the most advanced AI cannot prevent damage.
The influence of AI is conditional on a robust and well-calibrated control system, which reduces its direct contribution to success to a confidence interval of 30-40%.