Raw LLM Responses

Amazon tried doing that a decade ago and it threw anyway CVs from women. [https://www.aclu.org/news/womens-rights/why-amazons-automated-hiring-tool-discriminated-against](https://www.aclu.org/news/womens-rights/why-amazons-automated-hiring-tool-discriminated-against) It seems that the problem has not been solved. >Resumes with White-associated names were selected 85% of the time for the next hiring step, while resumes with Black-associated names were only preferred 9% of the time. >Resumes with male-associated names were preferred 52% of the time, even for roles with a traditionally high representation of women – like HR positions (77% women) and secondary school teachers (57% women). >Resumes with White female names were chosen over those with Black female names, by a margin of 48% to 26%. >Black men faced the greatest disadvantage, with their resumes being overlooked 100% of the time in favor of other candidates.   [https://www.fisherphillips.com/en/news-insights/ai-resume-screeners.html](https://www.fisherphillips.com/en/news-insights/ai-resume-screeners.html) "AI hiring tools may be filtering out the best job applicants" [https://www.bbc.co.uk/worklife/article/20240214-ai-recruiting-hiring-software-bias-discrimination](https://www.bbc.co.uk/worklife/article/20240214-ai-recruiting-hiring-software-bias-discrimination)