Pipeline CEO Takes On the Gender Equity Gap

The video discusses unconscious bias in HR decisions, focusing on gender equity. It highlights the use of data and algorithms to improve HR decisions across hiring, pay, performance, potential, and promotion. The target audience is large companies committed to gender equity. Research shows a link between gender equity and increased revenue. Challenges in internal mobility for women are explored, and platform solutions are provided. The impact of social movements like Me Too is discussed, along with concerns about AI and unconscious bias.

What are the five pillars of talent that the algorithms make recommendations about?

How does the increase in gender equity relate to revenue according to the data presented?

What challenges do women face in advancing to higher positions within companies?

What actions can companies take to improve gender equity based on the platform's recommendations?

How can awareness of unconscious bias in programming help mitigate its effects in AI algorithms?