Abstract
Values, as intended in ethics, determine the shape and validity of moral and social norms, grounding our everyday individual and community behavior on commonsense knowledge. Formalising latent moral content in human interaction is an appealing perspective that would enable a deeper understanding of both social dynamics and individual cognitive and behavioral dimension. To tackle this problem, several theoretical frameworks offer different values models, and organize them into different taxonomies. The problem of the most used theories is that they adopt a cultural-independent perspective while many entities that are considered “values” are grounded in commonsense knowledge and expressed in everyday life interaction. We propose here two ontological modules, FOLK, an ontology for values intended in their broad sense, and That’s All Folks, a module for lexical and factual folk value triggers, whose purpose is to complement the main theories, providing a method for identifying the values that are not contemplated by the major value theories, but which nonetheless play a key role in daily human interactions, and shape social structures, cultural biases, and personal beliefs. The resource is tested via performing automatic detection of values from text with a frame-based approach.
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Notes
- 1.
- 2.
- 3.
Here you can find the QUOKKA GitHub repository: https://github.com/StenDoipanni/QUOKKA.
- 4.
The Framester endpoint is available at http://etna.istc.cnr.it/framester2/sparql.
- 5.
All the URLs of the online resources used to gather the complete list of Folk Values are available here: https://github.com/StenDoipanni/ValueNet/blob/main/ThatsAllFolks/URLs.txt.
- 6.
It is possible to test a beta version of the value detector available online here: http://framester.istc.cnr.it/semanticdetection/values, this version uses only triggers from MFT module, but the full frame-based value detector tool will be released with the camera ready.
- 7.
All the graphs generated by FRED and labeled with the value detector are available on the TAF repository: https://github.com/StenDoipanni/ValueNet/tree/main/ThatsAllFolks/MFRC_1k_graphs.
- 8.
The full graph is available here: https://github.com/StenDoipanni/ValueNet/blob/main/ThatsAllFolks/eswc_thin_folk.png.
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Acknowledgment
We thank the Italian PNRR MUR project PE0000013-FAIR: Future of Artificial Intelligence Research, and the SPICE EU H2020 Project 870811 within the program: SOCIETAL CHALLENGES - Europe In A Changing World - Inclusive, Innovative And Reflective Societies for their financial support.
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De Giorgis, S., Gangemi, A. (2024). That’s All Folks: A KG of Values as Commonsense Social Norms and Behaviors. In: Osman, N., Steels, L. (eds) Value Engineering in Artificial Intelligence. VALE 2023. Lecture Notes in Computer Science(), vol 14520. Springer, Cham. https://doi.org/10.1007/978-3-031-58202-8_2
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