Voice-based algorithms improving the hiring process

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By Meerabelle Jesuthasan
@queenmeerz
Mar 09, 2016,  2:23 PM
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Computers may be an unexpected solution in overcoming a biased hiring process, promoting greater equity throughout the job market. 

 

Luis Salazar is CEO of an online jobs platform, Jobaline, which has come up with a new way of leveling the playing field for job candidates. His focus is on hourly-wage workers in industries such as service and construction – many of whom feel discriminated against in the job search process. 

 

To remedy this, Jobaline Voice Analyzer does exactly as its name suggests. Using algorithms created based on extensive research it analyzes the extent to which a speaker’s voice is captivating to the average American audience. The results are intriguing – no matter what the speaker’s mood, the algorithms are able to identify a voice’s core appeal based on a plethora of factors, from pitch to energy.  

 

By objectively measuring a voice’s potential in performance-heavy industries, such as sales, Jobaline boasts a much more fair and accurate hiring process. As CEO Luis Salazar told FastCompany, “there are so many sources of bias when you’re dealing with humans. The beauty of math is that it’s blind. It helps give everybody a fair chance.” An algorithm-based process also helps employers cut down on a notoriously expensive and inefficient hiring process. 

 

Impact (ONLY use the 'Paste From Word' button to safely copy and paste text from a Word doc) 

The service is already available on the Jobaline website. For now, it appears to be receiving a lot of positive attention, with three of every four U.S. customers agreeing with the Voice Analyzer’s assessment. It remains to be seen whether this is an effective large-scale method that could, potentially, become the new norm in certain hiring processes. In a time where biases in employment are being tackled in just about every industry, finding a way to objectively keep businesses diverse is certainly an attractive prospect. As this algorithm develops, it is likely to make its way into more mainstream procedure.

Public Release Date: 
2016

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