The model makes decisions thinking it is right, but for whatever reason can’t see a firetruck or stopsign or misidentifies the object… you know almost like how a human hallucinating would perceive something from external sensory that is not there.
I don’t mind giving it another term, but “being wrong” is misleading. But you are correct in the sense that it depends on every given case…
No, the model isn’t “thinking”, no model in use today has anything resembling an internal cognitive process. It is making a prediction. A covid test is predicting whether you have the Covid-19 virus inside you or not. If its prediction contradicts your biological state, it is wrong. If an object recognition algorithm does not predict there being a firetruck, how is that not being wrong in the same way?
Yeah, well it’s not the same. Models are wrong all the time, why use a different term at all when it’s just “being wrong”?
The model makes decisions thinking it is right, but for whatever reason can’t see a firetruck or stopsign or misidentifies the object… you know almost like how a human hallucinating would perceive something from external sensory that is not there.
I don’t mind giving it another term, but “being wrong” is misleading. But you are correct in the sense that it depends on every given case…
No, the model isn’t “thinking”, no model in use today has anything resembling an internal cognitive process. It is making a prediction. A covid test is predicting whether you have the Covid-19 virus inside you or not. If its prediction contradicts your biological state, it is wrong. If an object recognition algorithm does not predict there being a firetruck, how is that not being wrong in the same way?
Predicting? Ok, if you say so.