Business leaders from around the world gathered at The World Economic Forum this week — and Inclusively was on the ground there.

Co-founder and CEO Charlotte Dales spoke with business leaders from Cisco, Deloitte, IMD, and Splunk about AI’s positive outcomes for women. 

Why it matters: AI can be leveraged to personalize work and make companies more productive. But it can also cut down on biases, help “design for the edge and get the core for free,” and help emergent female tech leaders stay on upward career tracks as they start families.

Watch the full discussion here.

Key takeaways:

  • Personalizing the workplace for productivity: Charlotte highlighted the importance of personalization in the workplace. She noted that while everyone has unique needs, AI can tailor the workplace experience to individual requirements. The principle of “design for the edge, get the core for free” was underlined, indicating that things like Universal Design will benefit the workforce at large.
  • Reframing the narrative: The conversation emphasized the need to shift from a fear-based view of AI to recognizing its potential as a positive force. Speakers pointed out AI’s role in enhancing work-life balance, democratizing career advancement, and fostering personal well-being, positioning AI as a significant equalizer in accessing education, jobs, and broader opportunities.
  • Catalyzing education and professional growth: Panelists discussed how generative AI and tutor bots are revolutionizing education by providing personalized learning experiences. This innovation supports continuous learning and adaptability, essential for women who might face barriers in traditional educational and career advancement paths.
  • Systematic barriers to leadership: The discussion acknowledged the systemic barriers that prevent women from rising to leadership roles in AI and tech. Strategies such as strong sponsorship programs were discussed as ways to break down these barriers.
  • AI as support in childbearing years: Charlotte discussed the challenges women face during their childbearing years when their careers are often poised to accelerate. She explained how AI can automate certain processes, reducing the need for women to disclose personal information and thereby preserving privacy and reducing biases.
  • Cultivating trust and mitigating bias through inclusive AI: The conversation also emphasized the need to incorporate diverse perspectives in AI models to reduce bias. The importance of making AI models transparent was highlighted as a way to build trust and confidence among users.

The panel was hosted in The Female Quotient’s Equality Lounge @ Davos. Alongside Charlotte, it featured:

  • Sarah Toms, Chief Learning Innovation Officer at IMD
  • Liz Centoni, EVP and Chief Strategy Officer at Cisco
  • Elizabeth Faber, Global Chief People & Purpose Officer at Deloitte
  • James Hodge, Group Vice President & Chief Strategy Advisor at Splunk


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