But this example is not an outlier machine learning must have human oversight for it to have the most optimized results. The most public instance of AI bias was the 2018 story that uncovered Amazon’s recruiting AI had a bias against female applicants in its hiring algorithm. It takes volumes of data to achieve this effectively, and the risk remains that AI will learn a human’s unconscious bias as well. This time is far better spent engaging with candidates, building relationships and improving candidate experience.Īdvanced artificial intelligence uses machine learning to mimic human behavior. Up to 40% of a recruiter’s time can be spent entering data into an ATS or sorting through resumes. The technology can be smoothly integrated into the recruitment process by utilizing software that manages interview scheduling or by automating the application process while using AI to screen resumes for keywords. It can, however, be a useful tool in reducing the time spent on repetitive and mundane tasks that take much of a recruiter’s time. AI is not yet ready to replace humans in this important process. Finding the right person to join your particular organization and its particular situation takes nuance and human experience. People and the talents they bring to an organization are the most important ingredients to a company’s success.
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