Unconscious bias is a huge problem in the workplace, especially in areas like recruitment, promotion, and performance management as well as being a major barrier in efforts to improve diversity and inclusion. Whilst training and awareness can help, as humans we have inherent unconscious biases. So how can technology data and science help? And what steps do you need to take to minimise bias through the use of technologies like AI rather than to perpetuate it?

That's the topic for this week's podcast where my guest is Frida Polli co-founder and CEO of pymetrics, where we discuss how AI and behavioural science can reduce bias in recruiting.

In our conversation Frida and I discuss:

• Why recruiting is broken and how AI and behavioural science can help to fix it
• We talk about the ethical issues we need to think about when using AI to support hiring and people decisions
• We talk about the bold initiative pymetrics has taken to open-source it's code as well as talking about the challenges involved in being a female CEO and founder of a successful HR tech company
• Finally like with all our guests we also look into the crystal ball and ponder what the role of HR will be in 2025

This episode is a must-listen for people working or interested in recruiting, HR technology, behavioural science and people analytics as well as diversity and inclusion.

Support for this podcast is brought to you by pymetrics, to learn more, visit pymetrics.com.

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