Can We Really Remove Bias From the Recruitment Process? w/ Frida Polli, PhD
Bill's guest in this HRchat episode is Frida Polli, PhD. Frida is CEO & co-founder at pymetrics, a company on a mission to democratize career search and hiring. She is an award-winning Harvard and MIT neuroscientist turned entrepreneur.
Using neuroscience + AI, pymetrics matches people to their best jobs while removing gender and ethnic bias from the hiring process. With over 100 enterprise clients including Unilever and Accenture, and offices in NYC, London, and Singapore, pymetrics is powering the future of hiring: efficient, predictive, and bias-free.
Questions include:
* Prior to creating pymetrics, you conducted an impressive amount of neuroscience research. A lot of people imagine tech entrepreneurs coming from a computer science or otherwise tech-based background. What brought you from neuroscience?
* In terms of hiring, how can artificial intelligence and behavioral science help?
* While there’s no denying that AI is useful, there’s also a lot of research that suggests that algorithms aren’t free of bias either, so how do you ensure that your dataset is devoid of any such biases?
* What are some of the misconceptions that you get from HR regarding using AI in recruitment?
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