Can Chatbots Eliminate human bias?

by Recruitment Smart Sniper AI

It’s imperative to have objectiveness when it comes to hiring decisions, a lack of it can undermine the efficacy of the business. Hiring managers, inadvertently judge a candidate based on their own experiences within their professional and personal domain, forming a preconceived notion about certain traits or characteristics.

The integration of AI and Recruitment for recruiting application in the hiring process will provide an unbiased perspective, devoid of any human emotions. It creates data points using algorithms and formulates patterns which increases the chances of hiring the right fit for the job. AI-based software like HireVue uses intelligent video and text-based software to predict the best performers for an individual job requirement by creating numerous data points from the video interview.

The smart chatbots, driven by AI, and powered by neural networks, uses natural language processing to have a human-like conversation, without the need to have “actual” human answering frequently asked questions. The benefit of chatbots is their 24/7 availability, unwavering enthusiasm while answering “n” number of calls, without being muddled by the vagaries of human nature. A Recruitment AI Chatbot on the back of machine learning capabilities can collect and screen a vast array of resumes and rank candidates on metrics such as skills, qualifications, and engagement to assist the decision-makers to make an informed decision. Regardless of the volume of candidates, each candidate will receive timely correspondence via AI-powered workflows.

Although AI-powered chatbots can vastly reduce the percentage of the human bias, it cannot eliminate it as the algorithms are only as unbiased as the programmers who program them. Invariably there is a chance of the prejudices creeping their way into the data used. The best way to counteract this is to employ a diversified chatbots development team combined with high cultural intelligence.

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Created on Nov 12th 2019 00:50. Viewed 182 times.


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