Companies are on the hook if their hiring algorithms are biased


Between 2014 and 2017 Amazon tried to build an algorithmic system to analyze resumes and suggest the best hires. An anonymous Amazon employee called it the "holy grail" if it actually worked. After the company trained the algorithm on 10 years of its own hiring data, the algorithm reportedly became biased against female applicants. The word "women," like in women's sports, would cause the algorithm to specifically rank applicants lower. After Amazon engineers attempted to fix that problem, the algorithm still wasn't up to snuff and the project was ended.