It's alarming that NeurIPS papers are being rejected based on "ethics reviews". How do we guard against ideological biases in such reviews? Since when are scientific conferences in the business of policing the perceived ethics of technical papers?
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Please name one ethical application of AI where you need to create a classifier that predicts gender.
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i) I can't think of a way that a classifier can predict sex that doesn't reproduce or amplify any bias in the data which in turn disproportionally harms marginalised groups of people who are already subject to various forms of systemic oppression.
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ii) It violates the personality rights of any individual in your training data as well as at inference time (you are inferring attributes about them without their knowledge, let alone consent).
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Dude do you have any idea how many trans people work in the field itself? Get with it.
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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you say it's wrong to suppress research because it is supposedly harmful. Do you believe it is wrong because the harm is not clear ("supposedly"), or because harm is not a valid reason to reject a paper? eg, if we can agree that a paper definitely causes harm, should we reject?
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or, flipped: if we both agree that a paper definitely will cause harm if accepted but it is technically sound and novel, should we accept it?
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If you're interested in learning about an alternative position, I encourage you to watch this talk:https://slideslive.com/38923500/critical-perspectives-on-computer-vision?locale=en …
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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I would love to see a productive conversation about ML ethics. But this tweet violates the neurips code of conduct: "This requires a community and an environment that recognizes and respects the inherent worth of every person."
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Tämä twiitti ei ole saatavilla.
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