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 7

How this entity was disambiguated

Statements (24)

Predicate Object
instanceOf machine learning researcher ⓘ
person ⓘ
educatedAt Harvard University ⓘ
Massachusetts Institute of Technology ⓘ
employer OpenAI ⓘ
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 ⓘ
worksOn mitigating harmful model behaviors ⓘ
safety techniques for generative models ⓘ
training and evaluation of large language models ⓘ

How these facts were elicited

Referenced by (7)

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

Tom B. Brown → hasCoAuthor → Ariel Herbert-Voss ⓘ
subject linked to: Tom B. Brown et al.
Language Models are Few-Shot Learners → author → Ariel Herbert-Voss ⓘ
subject linked to: Tom B. Brown et al.
Language Models are Few-Shot Learners → author → Ariel Herbert-Voss ⓘ
Pranav Shyam → coAuthorWith → Ariel Herbert-Voss ⓘ
Benjamin Chess → coAuthorWith → Ariel Herbert-Voss ⓘ
Tom B. Brown → coAuthorWith → Ariel Herbert-Voss ⓘ
Eric Sigler → coAuthorWith → Ariel Herbert-Voss ⓘ