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Zara Williams
Working to make AI more equitable and accessible for everyone.
I'm a Machine Learning Engineer at OpenAI focused on making large language models safer and more equitable. With a background in linguistics and computer science, I bring a unique perspective to AI development that centers human communication and fairness. My research on reducing bias in AI systems has been published at top conferences, and I'm committed to ensuring AI benefits all communities, not just the privileged few.
My Story
My path to ML wasn't straightforward—I started as a linguistics major fascinated by how humans communicate. I was obsessed with language: how we form meaning, how dialects evolve, how translation preserves or loses nuance. When I discovered NLP during a random elective, everything clicked. I realized I could combine my love of language with technology to build systems that truly understand human communication.
But my real awakening came when I experienced AI bias firsthand. A speech recognition system consistently failed to understand my voice, a hiring algorithm screened out my resume, and a facial recognition app couldn't even detect my face. These weren't just technical failures—they were symptoms of who gets to build AI and whose data is included. Now at OpenAI, I'm part of the team working to solve these problems from the inside. I co-founded AI4ALL workshops to bring underrepresented students into this field, because the future of AI depends on who shapes it.
my EXPERIENCE
Core contributor to GPT safety and alignment research
Published research on reducing bias in large language models at NeurIPS
Co-founded AI4ALL workshop series for underrepresented students
Previously at DeepMind working on multilingual models
my SKILLS
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