Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

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.…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.

Emily Corvi

AI Ethics Consultant, AI Strategy Consultant, Data Scientist, +2





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.…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.

Available to hire

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.

Skills

Data Science

Data Visualization

Experience Level

Data Science

Expert

Data Visualization

Expert

Language

English

Fluent

Work Experience

Analytical Linguist at Microsoft Research via Aquent, New York

April 1, 2022 - Present

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.