Reduce bias in hiring and increase the diversity of your workforce

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Diversity can improve productivity and strategic decision-making by introducing new skills, perspectives, knowledge bases, and social networks according to the Harvard Business Review. While many organizations acknowledge the benefits of a diverse workforce, many are still faced with challenges to attract, hire, and retain diverse talent due to outdated and biased hiring practices such as relying primarily on resumes or education.

These resources provide actionable steps to reduce bias in your hiring process by leveraging digital tools and soft skill data to build a more diverse workforce fairly and efficiently.


Removing Bias From Talent Decisions with Artificial Intelligence.

In the cases of hiring & talent mobility, why is the status quo flawed and how can we fix it?

We tend to rely on processes, such as resume reviews, employee-referral programs, and assessments that heavily depend on biased data.

AI holds the greatest promise for eliminating such bias for two main reasons: unlike humans, it can be actively de-biased, and it enables us to assess the entire pipeline of talent, thus expanding definitions of potential.

Learn more about key considerations to keep in mind while assessing AI-driven talent technologies, particularly around fairness, auditing, and transparency, and how pymetrics can support you in building out a world-class process to diversify and strengthen your workforce going forward.

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Designing a more equitable workplace

Workplaces are changing and organizations are focusing on creating new structures and cultures that work for everyone. In this panel session, hear from HR leaders at Sanofi and White & Case as well as pymetrics on how to redesign our workplaces in a more equitable way.