Sarah
Wyer
Researcher in Bias in AI at Durham University
"Discrimination DRIFT: Reshaping the AI Divide"
"Discrimination DRIFT: Reshaping the AI Divide"
Tue May 20 - 8:30 AM EDT/New York (See in local time)
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05/20/2025 8:30 AM
05/20/2025 08:50 AM
America/New_York
#WTGC2025
"Discrimination DRIFT: Reshaping the AI Divide"
#WTGC2025
"Discrimination DRIFT: Reshaping the AI Divide"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Discrimination DRIFT: Reshaping the AI Divide"
"Discrimination DRIFT: Reshaping the AI Divide"
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Session: Discrimination DRIFT: Reshaping the AI Divide
As artificial intelligence reshapes industries and societies, it brings both opportunity and serious risks, especially the risk of amplifying existing inequalities. In this session, we address how AI systems, if left unchecked, can perpetuate discrimination at scale.To tackle this, I discuss my work in industry, academia, gender bias in AI, and intersectionality. I introduce the Discrimination DRIFT framework, a practical, research-informed tool designed to guide ethical and inclusive AI development across the entire lifecycle, from design to deployment. DRIFT simplifies the complexity of AI ethics into an accessible framework and serves as a shared language for diverse stakeholders to navigate ethical considerations together.
We explore how integrating ethical practices is not just a moral imperative but also a strategic advantage. As global regulations tighten and prioritize fairness and harm prevention, responsible AI practices strengthen trust, long-term profitability, and sustainability in a fast-changing, competitive landscape.
The session highlights:
The urgent need to address bias and discrimination in AI systems.
How the DRIFT framework operationalizes principles like transparency, accountability, and inclusivity.
The choices we make today will determine whether AI becomes a tool for equity or division. Understand how to embed ethical considerations into AI development, and how to use the DRIFT framework to help build a future where AI drives positive, inclusive impact for all.
Key Takeaways
- Inclusion matters
- Women in tech has never been more important, bias can be baked into the algorithms and amplified at scale
- Waiting until models are deployed is too late, women and people from diverse backgrounds need to be involved from the start
Bio
PhD researcher in Bias in AI at Durham University, specialising in LLMs; Professional Development Expert at Corndel, and former Data Architect at FDM. Sarah is from a working class background and is interested in the societal impact of Artificial Intelligence on power, privilege, and oppression. Sarah is particularly interested in the mitigation of bias and discrimination in Large Language Models from an intersectional perspective.Sarah is passionate about diversity and enabling those from under-served backgrounds to develop a career in tech.
