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README.md
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@@ -22,12 +22,12 @@ The projects were collected in two manners. The first methodological approach wa
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Each project consists of characteristics assigned by the authors. The only unprocessed data is the link to the project website. Partially there is information missing within some projects and categories, because this information was unavailable/ there was not enough information about to clearly say e.g. what kind of AI technology was being used.
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The dataset is mostly self-contained, with the exception of the link to the project website/website with more information on the project. Even though we can not guarantee that the access to this website will always be available, we assume that research with this dataset can also be done without a working link. Furthermore it could also be an interesting finding about lacking sustainability of projects if the links from 2024 do not exist in the future.
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The second data set “Public Interest AI Projects - connected to Democracy” is a subset of the larger
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We then manually went through the projects with a four eye principle to reaffirm that we see a connection of each individual project to democracy. However, this connection is our interpretation.
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<strong>Column description<br></strong>
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<b>Name:</b> The first column depicts the name of the project.
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<b>SDG category:</b> The second and third column contain the assigned SDG category/categories. The sustainable development goals are 17 global objectives that were adapted by the United Nations (UN) in 2015 as a “[...] universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity.” (UNDP, n.d.). Projects can fit more than one SDG category. In our dataset, we used the four-eyes principle to decide which one or two categories the project objective fell into. We had an 18th category here called “not SDG” for projects working in the public interest sector, but not matching any of the SDG’s. While we are aware that the SDG’s are not the same as the public interest it is an attempt to create an overview with known categories.
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Each project consists of characteristics assigned by the authors. The only unprocessed data is the link to the project website. Partially there is information missing within some projects and categories, because this information was unavailable/ there was not enough information about to clearly say e.g. what kind of AI technology was being used.
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The dataset is mostly self-contained, with the exception of the link to the project website/website with more information on the project. Even though we can not guarantee that the access to this website will always be available, we assume that research with this dataset can also be done without a working link. Furthermore it could also be an interesting finding about lacking sustainability of projects if the links from 2024 do not exist in the future.
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The second data set “Public Interest AI Projects - connected to Democracy” is a subset of the larger dataset “Public Interest AI Projects” and was assembled by reducing the categories to the SDGs that we see in connection with democracy: Peace, Justice and Strong Institutions; Reduced Inequalities; Quality Education; Partnership for the goals and Gender Equality.
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We then manually went through the projects with a four eye principle to reaffirm that we see a connection of each individual project to democracy. However, this connection is our interpretation.
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<strong>Column description<br></strong>
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<b>Name:</b> The first column depicts the name of the AI-project.
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<b>SDG category:</b> The second and third column contain the assigned SDG category/categories. The sustainable development goals are 17 global objectives that were adapted by the United Nations (UN) in 2015 as a “[...] universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity.” (UNDP, n.d.). Projects can fit more than one SDG category. In our dataset, we used the four-eyes principle to decide which one or two categories the project objective fell into. We had an 18th category here called “not SDG” for projects working in the public interest sector, but not matching any of the SDG’s. While we are aware that the SDG’s are not the same as the public interest it is an attempt to create an overview with known categories.
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