Podbit · Aviation Week's MRO Podcast
AI agents build trust by assigning confidence scores to their recommendations based on available data and timing. As these scores improve, systems can safely transition from human review to fully autonomous execution.
Where this was said
At 3:05 · chapter starts 2:15
Jon Baker explains how AI delivers value in airline aftermarket operations through automated, intelligent decision-making, emphasizing the transitional role of human-in-the-loop systems that adapt based on confidence scores [1] — Jon Baker "Shadow mode benchmarking: By comparing what the system recommends with what human buyers actually chose, carriers can refine algorithm scor…" 06:07 [2] — Jon Baker "Hours of research per week: The velocity of modern AI development requires constant monitoring of new services, research papers, and softwa…" 09:08 [3] — Jon Baker "One of the things that you learn very quickly when you build these solutions is you can't build AI solutions in a vacuum." 05:44 .
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