Machine Intelligence Research Institute
E436709
The Machine Intelligence Research Institute is a nonprofit organization focused on developing theoretical foundations to ensure that advanced artificial intelligence systems are safe and aligned with human values.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Machine Intelligence Research Institute canonical | 1 |
| Machine Intelligence Research Institute advisory board | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4395605 — 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.
Target entity: Machine Intelligence Research Institute Context triple: [Cari Tuna, hasGivenFundingTo, Machine Intelligence Research Institute]
-
A.
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
B.
Allen Institute for Artificial Intelligence
The Allen Institute for Artificial Intelligence is a research organization founded by Paul Allen that focuses on advancing artificial intelligence through high-impact scientific and engineering efforts, including open research, tools, and datasets.
-
C.
Google Research
Google Research is the research division of Google focused on advancing the state of the art in computer science and artificial intelligence through fundamental and applied research.
-
D.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
E.
Vector Institute for Artificial Intelligence
The Vector Institute for Artificial Intelligence is a Toronto-based research institute focused on advancing cutting-edge AI and machine learning, known for its association with leading researchers such as Geoffrey Hinton.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Machine Intelligence Research Institute Target entity description: The Machine Intelligence Research Institute is a nonprofit organization focused on developing theoretical foundations to ensure that advanced artificial intelligence systems are safe and aligned with human values.
-
A.
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
B.
Allen Institute for Artificial Intelligence
The Allen Institute for Artificial Intelligence is a research organization founded by Paul Allen that focuses on advancing artificial intelligence through high-impact scientific and engineering efforts, including open research, tools, and datasets.
-
C.
Google Research
Google Research is the research division of Google focused on advancing the state of the art in computer science and artificial intelligence through fundamental and applied research.
-
D.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
E.
Vector Institute for Artificial Intelligence
The Vector Institute for Artificial Intelligence is a Toronto-based research institute focused on advancing cutting-edge AI and machine learning, known for its association with leading researchers such as Geoffrey Hinton.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence research organization
ⓘ
nonprofit organization ⓘ think tank ⓘ |
| abbreviation | MIRI NERFINISHED ⓘ |
| aimsTo | reduce existential risk from advanced artificial intelligence ⓘ |
| associatedWith |
LessWrong community
NERFINISHED
ⓘ
effective altruism movement ⓘ |
| basedIn | San Francisco Bay Area NERFINISHED ⓘ |
| country | United States of America ⓘ |
| executiveDirector | Nate Soares NERFINISHED ⓘ |
| focusesOn |
AI alignment
ⓘ
artificial intelligence safety ⓘ long-term impacts of advanced AI ⓘ theoretical foundations of AI safety ⓘ |
| formerName | Singularity Institute for Artificial Intelligence NERFINISHED ⓘ |
| foundedBy |
Brian Atkins
NERFINISHED
ⓘ
Eliezer Yudkowsky NERFINISHED ⓘ Sabrina Ford NERFINISHED ⓘ |
| fundedBy |
individual donors
ⓘ
philanthropic foundations ⓘ |
| hasGoal | to formalize concepts such as intelligence, agency, and alignment ⓘ |
| hasProgram |
AI alignment research program
ⓘ
research fellowships ⓘ |
| headquartersLocation | Berkeley, California NERFINISHED ⓘ |
| inception | 2000 ⓘ |
| influencedBy |
existential risk research
ⓘ
rationality and decision theory ⓘ |
| languageOfWorkOrName | English ⓘ |
| legalForm | 501(c)(3) nonprofit organization ⓘ |
| mission |
to develop formal tools for understanding and aligning advanced AI systems
ⓘ
to ensure that the creation of smarter-than-human intelligence has a positive impact ⓘ |
| notableResearcher |
Benya Fallenstein
NERFINISHED
ⓘ
Eliezer Yudkowsky NERFINISHED ⓘ Nate Soares NERFINISHED ⓘ Patrick LaVictoire NERFINISHED ⓘ Scott Garrabrant NERFINISHED ⓘ |
| publishes |
research agendas on agent foundations
ⓘ
technical research papers on AI alignment ⓘ |
| researchArea |
agent foundations
ⓘ
decision theory ⓘ embedded agency ⓘ formal verification for AI systems ⓘ logical uncertainty ⓘ value alignment ⓘ |
| topicOf | discussions in AI safety community ⓘ |
| website | https://intelligence.org ⓘ |
| worksOn |
mathematical models of rational agency
ⓘ
safety challenges of superintelligent AI systems ⓘ |
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.
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.
Subject: Machine Intelligence Research Institute Description of subject: The Machine Intelligence Research Institute is a nonprofit organization focused on developing theoretical foundations to ensure that advanced artificial intelligence systems are safe and aligned with human values.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.