How Pymetrics Uses AI to Remove Bias From the Hiring Process

The video discusses using cognitive and emotional traits to match candidates to roles, avoiding biases inherent in resume-based recruitment. It highlights the role of cognitive neuroscience in understanding traits like memory and attention. The video emphasizes maintaining human interaction in recruitment while reducing bias through technology. It addresses concerns about algorithmic bias, proposing open-source auditing methods to ensure fairness across different demographics.

In what ways can technology be designed to remove bias, according to the speaker?

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What is the speaker's perspective on the potential for bias in AI compared to human bias?

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