Timeline for My boss doesn't want me to say I performed tasks I'm not qualified to
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Apr 4, 2023 at 21:40 | history | edited | V2Blast | CC BY-SA 4.0 |
split into paragraphs for readability
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| Apr 4, 2023 at 9:13 | comment | added | Lio Elbammalf | As someone who works in the same field I second this. Scepticism should always start at the data as the model can only be as good as the data provided. If I've personally gone through and picked out whether, for example, a picture shows a defective weld or not then my model can only be as good as I am at identifying issues (which is not great). If I've had a qualified assessor go through and label the images the model can be much better. | |
| Apr 3, 2023 at 15:59 | comment | added | Ben Voigt | @Nelson: Actually, there's a certainty that the model will be wrong. The pertinent questions are "how often?", "would a human expert have reliably done better?" and "how severe are the results of making a mistake?" | |
| Apr 3, 2023 at 3:05 | comment | added | Nelson | Make sure that the boss' name is attached to any authorization for deployment. If the boss only talks to you in person, always document what is said in an email and then send it out to him to confirm. What can happen is the boss doesn't officially approve anything, and then he throws you under the bus when things go wrong. With ML and projection, there's always a possibility that your model is wrong. | |
| Apr 2, 2023 at 15:48 | vote | accept | Amelian | ||
| Apr 2, 2023 at 8:39 | history | answered | plagiarisedwords | CC BY-SA 4.0 |