What if the biggest challenge facing your business isn't competition, but accidental unfairness built into your systems? 🤯

This week, we're joined by Bertille, a diversity, equity, and inclusion practitioner, to tackle the most complex and important questions of our time: equity in the workplace and the ethical challenge of AI.

Bertille simplifies "equity" to a powerful concept: fairness and equal outcome. She argues that real change is achieved not through visible, temporary programs, but by embedding equity into systems and processes. This often un-glamorous work ensures everything is measurable, objective, and fair.

We dive into the pressing issue of AI and bias in recruitment. Bertille warns that models trained on historical data risk reinforcing systemic inequities. She stresses that the keys to responsible AI use are transparency about how models are trained and understanding what and why you are using them.

Ready to learn how to future-proof your organisation by building fairness and ethical guardrails around your people processes?