Emily Corvi
I'm an interdisciplinary, mixed-methods researcher with over a decade of experience spanning industry and academia.
About
I’m an interdisciplinary, mixed-methods researcher with over a decade of experience spanning industry and academia. I specialize in sociolinguistics, linguistic anthropology, sociotechnical systems, and fairness in generative AI. I’m passionate about deploying safe, responsible AI across products and deployment contexts, and I enjoy collaborating across teams to turn insight into policy and practice.\n\nI author research for high-impact venues and internal docs, develop measurement resources and datasets, and serve as a subject-matter expert on AI risk. I thrive in cross-functional settings, translating complex theory into actionable evaluations and policy guidance that help teams build safer AI systems.
- 4 years' experience
- Joined January 2026
Skills· 2
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Media & Entertainment
- Professional Services
More experts in New York, United States
Work experience
Spearheading research in the adaptation and application of linguistic theory to the systematization of risks arising from generative AI systems. Direct impact on Bing Image Creator, Azure AI‑Assisted Safety Evaluation Service, and Copilot products. Develop company‑wide methods for identifying and measuring fairness‑related risks caused by generative AI; taxonomy of generative AI system behaviors and impacts; author papers for high‑impact venues; author internal white papers to establish responsible AI policy; develop annotation resources and dataset creation; act as subject‑matter expert in cross‑functional efforts to consult on generative AI risks; communicate research to expert and general audiences; collaborate with researchers, interns, and cross‑functional stakeholders to establish a pre‑deployment evaluation pipeline.
Education
Certifications and awards
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