In 2014, Amazon wanted to employee contact list permanently solve the candidate ranking problem.Their solution was a new tool, powered by machine learning and artificial intelligence (AI), that would eliminate all guesswork and human bias in finding the best candidate for a given position. Feed the tool a hundred resumes, and it will automatically rate each one on a scale of one to five stars.On paper, technology was every recruiter's dream. In practice, however, it couldn't be more nightmarish.The tool scored applicants by comparing words and phrases from submitted resumes to employee contact list those found in hundreds of past resumes.
As well as the resumes of current Amazon employees, to find similarities. The more similarities, the better the score.But because IT roles at Amazon and elsewhere were (and still are) disproportionately filled by men, the tool did something unexpected: it learned to employee contact list penalize women candidates for these roles. If a candidate attended a women-only university, she was demoted. Same thing if she mentioned that she was in a "women's chess club", for example.Ouch.In 2017, the tool was discontinued. Like a true mad scientist, the employee contact list thing Amazon created to eliminate bias in its hiring decisions ended up making it worse.
And if it can happen to Amazon, it can happen to you too.AI discrimination isn't just an Amazon problem anymoreToday, you don't need Amazon's resources to employee contact list leverage AI and machine learning in your recruiting processes; more and more off-the-shelf recruiting software systems are adding this technology to help make obtuse and time-consuming talent decisions.And more and more companies are taking notice. According to employee contact list Capterra's 2018 Top Technology Trends survey, at least 32% of small and medium-sized enterprises (SMBs) in the United States will leverage.