Smart Hiring or Smart Bias? AI's Diversity Challenge
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Miz Cree
Kiwi.com
Director Talent Acquisition
As AI reshapes hiring, tensions flare between HR’s drive for efficiency and engineers’ demand for transparency. This presentation reviews AI recruitment tools usage while confronting ethical dilemmas faced by both sides. Through case studies, we explore how the Hiring Side (HRMs, Recruiters, Hiring Managers included) and engineers can collaborate to build fairer systems. Learn how companies can implement explainable rubrics and hybrid assessments, while engineers ethically hack AI tools and audit for bias. Bridging code and ethics, we’ll map a future where AI enhances and not replaces human judgment, ensuring hiring is both scalable and equitable.
Agenda: The AI Hiring Landscape: Tools, Trends, and Tensions Transparency Matters: Why Engineers and HR Clash/Collaborate How Companies Use AI to Evaluates Code vs. How Engineers Game It Case Studies: Wins and Fails of the Industry Possible Solutions and Key Takeaways
World Congress 2025
Miz Cree
Kiwi.com
Director Talent Acquisition
Tatjana Obenaus
Prosus Group
Global Head of Employer Brand
Guy Barel
Canditech
CEO and Co-founder
Sophie Okonkwo
Technical Recruiters Africa
Global TA Leader and Community Founder