: Anonymizing as a Service
- Designed for equal opportunity hiring / funding.
- 3rd party fields candidates, scrubs all data that is proven to induce bias
- Doesn't address in-person stage, but any improvement welcome
Feel free to tell me why it's a dumb idea.
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Assumption is that if the whole hiring / funding committee is white dudes, the same "best" resume won't be equal if applicant is black woman vs. white male (for example).
The obvious filters are easy: name, gender, ethnicity, geography, etc.
With enough data, I think you could identify and filter the 20% of resume terms / qualities that induce 80% of the bias.I don't have the strongest opinion on how prevalent prejudice is in hiring, but I have read that it's not white dudes. It's women.
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Who does what is up for debate, and actually doesn't matter here. The Anonymizer would level the playing field regardless of industry, decision maker, applicant, etc. Also just realized my idea abbreviates to AaaS. Not sure that's catching on...
- End of conversation
New conversation -
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