Do any of you use automated resume filtering when hiring, and if so, do you like it/how effective is it? Pros/cons?

Do any of you use automated resume filtering when hiring, and if so, do you like it/how effective is it? Pros/cons?

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I think ultimately you need a human in the loop - while technology has come a long way in this area, it can only go so far.

That said, there are tools that well help immensely to reduce bias in screening. One tool that is doing interesting work in this area is http://beapplied.com/

There are other tools too like Textio https://textio.com and free gender decoders like http://gender-decoder.katmatfield.com/ but the problem is within the CVs/Résumés and often the Job Descriptions themselves in terms of bias (let alone whether either are fit for purpose “marketing” from either side). Anything like NLP or keyword driven filtering is still ATS/Boolean Search “SEO” game’able (and thus still subject to the GIGO data problem). There is A.I./machine learning algorithms being trained on and matching ambiguous or incomplete Job Descriptions/Titles against candidate’s self-written marketing materials which have been tweaked for competitive landscapes. This post is insightful “Résumés suck here’s the data” http://blog.alinelerner.com/resumes-suck-heres-the-data/

Additionally the difference between Job Descriptions and Job Advertisements isn’t always as clear as it could or should be. Fundamentally though, the “flyer” that is a CV or Résumé is, in my mind, currently the least bad broken token. It may contain verifiable/provable employment but it does not contain proof of experience which is another challenge entirely. I’ve written a bit about it here too.

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