Military girl dirty chat bot
It also serves as a lesson to the growing list of large companies including Hilton Worldwide Holdings Inc () that are looking to automate portions of the hiring process. Employers have long dreamed of harnessing technology to widen the hiring net and reduce reliance on subjective opinions of human recruiters.
But computer scientists such as Nihar Shah, who teaches machine learning at Carnegie Mellon University, say there is still much work to do.
In effect, Amazon’s system taught itself that male candidates were preferable.
It penalized resumes that included the word “women’s,” as in “women’s chess club captain.” And it downgraded graduates of two all-women’s colleges, according to people familiar with the matter. Amazon edited the programs to make them neutral to these particular terms.
Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions.
The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon, some of the people said.
Amazon’s recruiters looked at the recommendations generated by the tool when searching for new hires, but never relied solely on those rankings, they said.
Amazon declined to comment on the technology’s challenges, but said the tool “was never used by Amazon recruiters to evaluate candidates.” The company did not elaborate further.
They taught each to recognize some 50,000 terms that showed up on past candidates’ resumes.“How to ensure that the algorithm is fair, how to make sure the algorithm is really interpretable and explainable - that’s still quite far off,” he said.FILE PHOTO: Brochures are available for potential job applicants at "Amazon Jobs Day," a job fair at the Fulfillment Center in Fall River, Massachusetts, U. REUTERS/Brian Snyder/File Photo Amazon’s experiment began at a pivotal moment for the world’s largest online retailer.“Everyone wanted this holy grail,” one of the people said.“They literally wanted it to be an engine where I’m going to give you 100 resumes, it will spit out the top five, and we’ll hire those.” But by 2015, the company realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way.
But that was no guarantee that the machines would not devise other ways of sorting candidates that could prove discriminatory, the people said.