CareerChatUK webinar #9 Addressing Gender Bias in AI and Career Development

Back to Careers News

CareerChatUK webinar #9 Addressing Gender Bias in AI and Career Development

JOIN US ON TUESDAY 24TH MARCH 2026 FROM 16.00 – 17.00 BST (UK TIME)

As AI reshapes career pathways, recruitment, and workplace development, a critical question demands our attention: whose futures are being shaped — and whose are being left behind?

Join us for a thought-provoking session exploring the intersection of gender, artificial intelligence, and career development. Our expert panel will examine how biases embedded in generative AI systems affect career guidance, hiring algorithms, and skills development — and what practitioners, educators, and policymakers can do about it.

This webinar is part of the CareerChatUK #AllThingsAI series, bringing together leading voices to ensure AI works equitably for everyone.

Your Hosts

Co-Host

Associate Professor
Deirdre Hughes OBE

Co-Host

Chris Webb

Expert contributors

Victoria Helund

The AI Bias Girl’ · Founder, GenEd Labs.ai

Named by LinkedIn as one of the Top 12 AI Voices to Follow in Europe, Victoria is a leading expert on biases in generative AI. She founded GenEd Labs.ai to help educators use GenAI ethically, inclusively, and with clear pedagogical intent — bringing both rigour and urgency to the conversation around fairness in AI systems.

Dr Naeema Pasha

Renowned Expert in AI, Diversity, Careers & Skilling

A leading international voice on the future of work, Dr Pasha brings deep expertise in AI ethics, diversity, and workforce development. Her work shapes how organisations and policymakers approach inclusive skilling and career development — ensuring ethical and equitable practices sit at the heart of AI-driven change.

What We’ll Explore

  • Gender bias embedded in generative AI tools
  • Ethical and inclusive AI in education
  • Practical actions for career practitioners
  • How AI shapes career guidance and hiring decisions
  • Diversity, skilling, and the future of work
  • Policy levers for fairer AI systems