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How do you plan to counter the harmful societal biases that embeddings embody? See Bolukbasi (https://arxiv.org/pdf/1607.06520.pdf https://arxiv.org/pdf/1607.0
by ASpring 8y ago
How do you plan to counter the harmful societal biases that embeddings embody?
See Bolukbasi (https://arxiv.org/pdf/1607.06520.pdf https://arxiv.org/pdf/1607.06520.pdf)
and Caliskan (http://science.sciencemag.org/content/356/6334/183 http://science.sciencemag.org/content/356/6334/183)
While these examples are solely language based, it is easy to imagine the transfer to other domains.
- hiphipjorge 8y agoHi. Jorge from Basilica here. We don't have any concrete plans to tackle this right now but it is something we're definitely mindful of. Thanks for the links! We'll be sure to go through them.
- bloudermilk 8y agoRespectfully, if you've already launched your product and have no concrete plans to address this important issue, you're not being mindful. You're willfully ignoring it.
- nlowell 8y agoActually solving this problem is enormously difficult, it is practically unsolved, isn't it? Seems unfair to judge small projects for not solving bias issues that google and amazon can't even deal with.
- paulgb 8y agoThose companies get flack for it too, e.g. https://slate.com/business/2018/10/amazon-artificial-intelligence-hiring-discrimination-women.html https://slate.com/business/2018/10/amazon-artificial-intelli... In case you didn't click around the page, note that one of the applications they are proposing sounds similar: > Basilica lets you easily cluster job candidates by the text of their resumes. A number of additional features for this category are on our roadmap, including a source code embedding that will let you cluster candidates by what kind of code they write.