Evan Hubinger
E1038739
Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Evan Hubinger canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13425204 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Hubinger Context triple: [Anthropic, foundedBy, Evan Hubinger]
-
A.
Zachary Bostrom
Zachary Bostrom is an American actor known for his work in film and television, including voice roles in animated productions.
-
B.
Gregory Kurtzer
Gregory Kurtzer is an open-source software entrepreneur and developer best known as the founder of Rocky Linux and the creator of the Singularity (now Apptainer) container platform.
-
C.
Colin Allen
Colin Allen is an author known for his work on the book "Medicine Jar."
-
D.
Nicholas Nayfack
Nicholas Nayfack was a mid-20th-century American film producer best known for his work on influential science fiction cinema.
-
E.
Matthew H. Carpenter
Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Hubinger Target entity description: Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
-
A.
Zachary Bostrom
Zachary Bostrom is an American actor known for his work in film and television, including voice roles in animated productions.
-
B.
Gregory Kurtzer
Gregory Kurtzer is an open-source software entrepreneur and developer best known as the founder of Rocky Linux and the creator of the Singularity (now Apptainer) container platform.
-
C.
Colin Allen
Colin Allen is an author known for his work on the book "Medicine Jar."
-
D.
Nicholas Nayfack
Nicholas Nayfack was a mid-20th-century American film producer best known for his work on influential science fiction cinema.
-
E.
Matthew H. Carpenter
Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf | person ⓘ |
| associatedWithCommunity |
AI safety research community
ⓘ
effective altruism ⓘ |
| associatedWithOrganization |
Machine Intelligence Research Institute (MIRI)
ⓘ
linked to:
Machine Intelligence Research Institute
|
| basedIn |
United States
ⓘ
linked to:
United States of America
|
| coAuthorOf | Risks from Learned Optimization in Advanced Machine Learning Systems ⓘ |
| contributedTo |
formalization of inner vs outer alignment distinction
ⓘ
taxonomy of AI alignment failures ⓘ |
| earlyMemberOf | Anthropic technical leadership ⓘ |
| educatedAt | Harvey Mudd College ⓘ |
| employer | Anthropic ⓘ |
| fieldOfStudy |
computer science
ⓘ
mathematics ⓘ |
| fieldOfWork |
AI alignment
ⓘ
AI interpretability ⓘ |
| focusesOn |
alignment of large-scale machine learning systems
ⓘ
technical AI safety ⓘ understanding learned optimization in neural networks ⓘ |
| hasBlog | https://www.alignmentforum.org ⓘ |
| hasGitHubProfile | https://github.com/evhub ⓘ |
| hasOnlineHandle | evhub ⓘ |
| hasPersonalWebsite | https://evhub.github.io ⓘ |
| hasPresentationOn |
inner alignment failures
ⓘ
mesa-optimization ⓘ |
| hasResearchInterest |
deceptive alignment
ⓘ
interpretability tools for large models ⓘ scalable oversight ⓘ training dynamics of advanced AI systems ⓘ |
| hasTalkOn |
AI alignment at EAG conferences
ⓘ
AI safety at technical workshops ⓘ |
| knownAs | Evan Hubinger ⓘ |
| languageSpoken | English ⓘ |
| mainSubjectOfWork |
AI safety threat models
ⓘ
inner alignment ⓘ mesa-optimizers in machine learning systems ⓘ outer alignment ⓘ |
| notableFor |
research on mesa-optimization
ⓘ
work on AI alignment ⓘ work on AI interpretability ⓘ |
| occupation | AI safety researcher ⓘ |
| positionHeld | research scientist at Anthropic ⓘ |
| publishesPreprintsOn | arXiv ⓘ |
| writesFor |
Alignment Forum
ⓘ
LessWrong ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Evan Hubinger Description of subject: Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.