Can Machine Learning Take Bias Out of Hiring?
My guest in HRchat episode 332 is Frida Polli, PhD. Frida is an award-winning Harvard and MIT neuroscientist and CEO at pymetrics.
Using neuroscience and AI, pymetrics claims to match people to jobs while removing bias from the hiring process. With over 100 enterprise clients including Unilever and Accenture, and offices in NYC, London, and Singapore, pymetrics aims to power the future of hiring: efficient, predictive, and bias-free.
Questions For Frida 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 behavioural 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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