AI for the Common Good
E366087
AI for the Common Good is a research initiative at the Allen Institute for Artificial Intelligence focused on developing and applying AI technologies to address pressing social and global challenges.
All labels observed (2)
| Label | Occurrences |
|---|---|
| AI for the Common Good canonical | 3 |
| AI for the common good | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3520108 — 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: AI for the Common Good Context triple: [Allen Institute for Artificial Intelligence, hasResearchProgram, AI for the Common Good]
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A.
The Intelligent Individual and Society
"The Intelligent Individual and Society" is a philosophical work by Nobel Prize–winning physicist Percy W. Bridgman that explores the role, responsibilities, and challenges of the rational individual within modern social and political structures.
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B.
For the Common Good
For the Common Good is an influential book by economist Herman Daly (with theologian John B. Cobb Jr.) that critiques conventional growth-focused economics and advocates for an ecologically sustainable, community-centered economy.
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C.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
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D.
University for the Common Good
University for the Common Good is a distinctive social-mission-focused identity of Glasgow Caledonian University, emphasizing its commitment to social justice, sustainability, and community impact.
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E.
Humanitarian Data Exchange
Humanitarian Data Exchange is an open humanitarian data platform that enables organizations to share, discover, and use data for crisis preparedness and response.
- 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: AI for the Common Good Target entity description: AI for the Common Good is a research initiative at the Allen Institute for Artificial Intelligence focused on developing and applying AI technologies to address pressing social and global challenges.
-
A.
The Intelligent Individual and Society
"The Intelligent Individual and Society" is a philosophical work by Nobel Prize–winning physicist Percy W. Bridgman that explores the role, responsibilities, and challenges of the rational individual within modern social and political structures.
-
B.
For the Common Good
For the Common Good is an influential book by economist Herman Daly (with theologian John B. Cobb Jr.) that critiques conventional growth-focused economics and advocates for an ecologically sustainable, community-centered economy.
-
C.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
-
D.
University for the Common Good
University for the Common Good is a distinctive social-mission-focused identity of Glasgow Caledonian University, emphasizing its commitment to social justice, sustainability, and community impact.
-
E.
Humanitarian Data Exchange
Humanitarian Data Exchange is an open humanitarian data platform that enables organizations to share, discover, and use data for crisis preparedness and response.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
AI research project
ⓘ
research initiative ⓘ social good initiative ⓘ |
| aimsTo |
inform policymakers about AI impacts
ⓘ
produce open research outputs ⓘ share tools and datasets with the research community ⓘ support evidence-based decision making with AI ⓘ |
| approach |
collaboration with domain experts on social issues
ⓘ
data-driven analysis of societal problems ⓘ research and development of AI methods ⓘ |
| basedInOrganization | Allen Institute for Artificial Intelligence ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| emphasis |
equity and inclusion in AI applications
ⓘ
measurable real-world impact ⓘ responsible deployment of AI systems ⓘ |
| field |
artificial intelligence
ⓘ
computational social science ⓘ machine learning ⓘ |
| focus |
AI for social good
ⓘ
AI for the Common Good self-linksurface differs ⓘ
surface form:
AI for the common good
application of AI to global challenges ⓘ application of AI to social challenges ⓘ |
| goal |
address pressing global challenges using AI
ⓘ
address pressing social challenges using AI ⓘ advance responsible AI for public benefit ⓘ develop AI technologies that benefit society ⓘ |
| hostOrganization | Allen Institute for Artificial Intelligence ⓘ |
| location |
Seattle, Washington, United States
ⓘ
surface form:
Seattle, Washington
|
| name | AI for the Common Good self-link ⓘ |
| parentOrganization | Allen Institute for Artificial Intelligence ⓘ |
| relatedTo |
AI for Social Good research community
ⓘ
responsible AI initiatives at AI2 ⓘ |
| topic |
AI for economic inclusion
ⓘ
AI for education ⓘ AI for environmental sustainability ⓘ AI for global development ⓘ AI for health and wellbeing ⓘ AI for humanitarian response ⓘ AI for public sector applications ⓘ AI policy and governance ⓘ accountability in AI ⓘ ethics of AI ⓘ fairness in AI ⓘ transparency in AI ⓘ |
| typeOfWork |
applied AI research
ⓘ
impact-oriented AI projects ⓘ interdisciplinary research ⓘ |
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: AI for the Common Good Description of subject: AI for the Common Good is a research initiative at the Allen Institute for Artificial Intelligence focused on developing and applying AI technologies to address pressing social and global challenges.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AI for the common good