Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices · HackerPapers discussions

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices — mentioned by geraltofrivia

Sun, 05 Nov 2023 07:04:11 GMT

Yes. In my case, my particular worldview involves (i) indifferent to gender markers in text (I don't want my LLM to convert me to a female because I'm asking it to write a cover letter for a hairdresser/secretary/nurse role, for e.g.). I don't want my model to write it in AAVE if my name is a common african-american name. I don't want to get the best results only when I write as a middle-aged white man [1]. If I use the model for some decision making, I want it to be fair for subgroups [2], which is a reasonably objective metric [3]. [1] https://aclanthology.org/P19-1339.pdf [2]…

Paper and discussion history. A mention is not an endorsement.

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices — HN submission

Sun, 05 Jul 2020 14:45:45 GMT

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices — HN submission

Thu, 08 Aug 2019 19:04:27 GMT

Mitigating Bias in Algorithmic Employment Screening

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.