Solid breakdown of the error-type tradeoffs. The manufacturing QA example really captures it, rare defects are where human vigilance tanks but AI keeps scanning at 100%. One thing I've noticed in my own work with hybrid workflows is the automation bias problem gets worse when the UI doesnt show confidence scores, people just assume the model is right. What's been most effective for mitigating that in your experience?
Solid breakdown of the error-type tradeoffs. The manufacturing QA example really captures it, rare defects are where human vigilance tanks but AI keeps scanning at 100%. One thing I've noticed in my own work with hybrid workflows is the automation bias problem gets worse when the UI doesnt show confidence scores, people just assume the model is right. What's been most effective for mitigating that in your experience?
This is interesting insigh. Thanks for sharing