Ariel Herbert-Voss

E457865

Ariel Herbert-Voss is a machine learning researcher known for her work at OpenAI on large language models and AI safety.

All labels observed (1)

Label Occurrences
Ariel Herbert-Voss canonical 2

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Statements (24)

Predicate Object
instanceOf machine learning researcher
person
educatedAt Harvard University
Massachusetts Institute of Technology
employer OpenAI NERFINISHED
fieldOfWork AI safety
artificial intelligence
machine learning
hasAcademicBackgroundIn computer science
mathematics
statistics
hasRole AI safety researcher
research scientist
knownFor research on large language models
language English
notableWork safety-focused research on large language models at OpenAI
researchInterest alignment of AI systems
interpretability of neural networks
large language models
robustness of machine learning models
workLocation San Francisco Bay Area NERFINISHED
worksOn mitigating harmful model behaviors
safety techniques for generative models
training and evaluation of large language models

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Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Tom B. Brown et al. hasCoAuthor Ariel Herbert-Voss
subject surface form: Tom B. Brown
Tom B. Brown et al. author Ariel Herbert-Voss
subject surface form: Language Models are Few-Shot Learners