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You cannot conflate dataset engineering, machine learning, and researchers as if they're a single discipline and people. This is precisely where the disagreemen
by ad404b8a372f2b9 5y ago
You cannot conflate dataset engineering, machine learning, and researchers as if they're a single discipline and people. This is precisely where the disagreement stems from.
Dataset engineering is an important field of research. It is also an important part of the modelling process. Neither of these things are included in model research. Researchers who design computer vision models and other novel mathematical models can be held ethically responsible for the societal results of the novel part of their research but if we agree that their field of research is valuable for society then they cannot be held responsible for the misuse of these models by people who skip or fail integral parts of the modelling process.
You cannot ask a researcher to invent a new more performant computer-vision model, invent a way to correct for bias, and design a fair dataset all in one. That's three entirely different careers.
- MichaelGroves 5y ago> You cannot ask a researcher to invent a new more performant computer-vision model, invent a way to correct for bias, and design a fair dataset all in one. That's three entirely different careers. Might it not sometimes be reasonable to ask researchers in one domain to slow their roll, if researchers in a related domain are making slower progress? If I invent 10 new forms of nerve gas every year, while you invent 5 new antidotes to nerve gas every year, where does the problem lay? Solely with you, for not working fast enough? I don't think that's reasonable. Does the problem lay with me, for not inventing nerve gas antidotes? I don't think that's reasonable either, antidotes are not my specialty and I can't be expected to create them. But if I'm the one inventing new systems that become a problem for society because your domain of counter-research isn't keeping up, then I have some substantial share in that blame nonetheless.
- mirker 5y agoMost will not pass up an opportunity to keep their job or get promoted, so I think the practical answer lies elsewhere in the research pipeline.