Elena Sinel, Founder and CEO of Teens in AI, has contributed expert commentary to a recent article authored by Anushka Pandit, the Principal Correspondent at AI & Data Insider, examining how gender bias enters enterprise AI systems and why the issue goes beyond training data.
One point stood out clearly to Elena: If we want responsible AI, we must address the diversity gap in the people building it. This work starts much earlier than the workplace. It starts with education, access, and confidence. While datasets often receive the most scrutiny, she emphasises that architectural choices and evaluation metrics made by teams designing AI systems can introduce bias, and without diverse perspectives at every stage, assumptions can go unchallenged and become embedded in the systems organisations rely on.
“Training data gets most of the attention – and rightly so. Models trained on historical data encode historical power structures. But the more invisible and dangerous entry points are architectural choices and evaluation design. When teams decide what to optimise for, they are making value judgments.” – Elena Sinel, Founder & CEO, Teens in AI
Elena also points to the importance of diversity within AI teams. Without a range of perspectives involved in design, development and evaluation, biased assumptions can go unchallenged and become embedded in the systems organisations rely on.
Drawing on insights from programmes run by Teens in AI in more than 100 countries, our experience is that young women and girls often identify different priorities when developing AI solutions, including mental health, community safety and accessibility.
The article brings together perspectives from experts across AI ethics, enterprise technology and media to explore how bias can emerge at multiple stages of AI development.
Read the AI & Data Insider article
Anushka Pandit is a Principal Correspondent at AI & Data Insider, with a knack for studying what’s impacting the world and presenting it in the most compelling packaging to the audience.
She merges her background in Computer Science with her expertise in media communications to shape tech journalism of contemporary times.
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