'How AI Can Effectively Solve Inherent Human Bias' artificialintelligence ai
It is the complexity of our minds that has helped us build the world we live in today. But that sophistication comes with a cost: On one hand, it can develop and execute grandiose ideas, pushing our reality beyond its limits. On the other hand, it can be easily contaminated with cognitive imperfections. Those appear to compensate for high-speed processing and the overwhelming amount of stimuli our brains process every day.
This human bias manifests most when observing the difference between the “talker” and “doer” during job interviews. The first one is a person with developed communication skills and makes a great first impression. Even though they may charm the hiring specialist in an interview, they might not excel in the position. On the other hand, the latter is a person who could perform awfully on the call, and the interviewer may find him very hard to comprehend but does a great job in the role.
No machine is similar to a human being. Therefore, there’s no room for any similar-to-me effect. AI algorithm’s transparency, fed with well-defined and diverse data inputs, solves this cognitive bias once and for all, ensuring fairness and equality among all applicants.Stereotyping implies that a person holds a set of features and characteristics that we presume are shared by all members of any particularly defined group.
With skills and staff shortages, AI-driven hiring platforms can be used to measure and better allocate employee talent across the entire organization. Recognizing bottlenecks and providing insights into potential educational opportunities for employees can help level up the skills of current employees to save both time and money.
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