Advancing Intersectional Fairness in AI: Key Takeaways from the BIAS & DIVERSIFAIR Webinar

On December 10, 2024, the BIAS Project (Mitigating Diversity Biases of AI in the Labour Market) and the DIVERSIFAIR Project (Diversify with Intersectionally FAIRer Artificial Intelligence) hosted a highly engaging webinar titled “Intersectional Fairness in AI: Legal Frameworks, Tools, and Learning Opportunities.”

With an impressive 683 professionals registered, the event featured world-renowned experts from multiple disciplines, offering a deep dive into the intersection of AI, ethics, and legal frameworks.

A Focus on Intersectionality in AI

The webinar emphasized intersectionality—the concept that overlapping social identities contribute to both privilege and discrimination—and explored key questions surrounding fairness in AI-driven recruitment. Participants gained practical insights into how AI systems can be designed and deployed more equitably.

Speakers presented both legislative frameworks and technological solutions, helping attendees understand how legal standards can evolve to regulate AI and ensure fairness. The event also showcased cutting-edge tools designed to detect and mitigate bias in AI models, empowering practitioners to incorporate equity into every stage of AI development.

Audience Engagement & Key Insights

The webinar fostered lively audience participation, with attendees expressing appreciation for the depth of discussions, practical takeaways, and expert insights.

Audience Feedback Ratings:
🔹 Event Satisfaction: 8.51/10
🔹 Content & Relevance: 8.48/10
🔹 Speakers: 8.67/10
🔹 Likelihood to Recommend: 8.32/10

The discussions reinforced the importance of collaborative efforts across research projects to address fairness in AI, particularly in recruitment systems.

BIAS & DIVERSIFAIR: A Collaborative Approach to Fair AI

Both BIAS and DIVERSIFAIR contribute unique yet complementary perspectives to the challenge of mitigating AI bias:

• BIAS focuses on intersectional perspectives and raising awareness about algorithmic biases.
• DIVERSIFAIR emphasizes diversity, inclusiveness, and actionable solutions for fair AI development across various sectors.

This webinar served as a catalyst for future collaborations, bridging research, policy, and technological solutions to ensure AI governance prioritizes fairness and inclusion.

Next Steps & Access to Webinar Content

The discussion also underscored the need for ongoing education. DIVERSIFAIR’s newly released educational kits for civil society, industry, and policymakers offer practical tools for identifying and mitigating bias in AI systems, ensuring these efforts extend beyond recruitment into all AI-driven sectors.

By integrating legal frameworks, technological advancements, and practical resources, the BIAS and DIVERSIFAIR projects continue to pave the way for a more inclusive, fair, and transparent AI ecosystem.

A recording of the webinar is available HERE.