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AI Thinking as a Meaning-Centered Framework: Reimagining Language Technologies Through Community Agency

arXiv 2502.14923 ↗First posted 19 Feb 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

While language technologies have advanced significantly, current approaches fail to address the complex sociocultural dimensions of linguistic preservation. AI Thinking proposes a meaning-centered framework that would transform technological development from creating tools FOR communities to co-creating solutions WITH them. This approach recognizes that meaningful solutions emerge through the interplay of cultural understanding, community agency, and technological innovation. The proposal articulates a holistic methodology and a five-layer technological ecosystem where communities maintain control over their linguistic and cultural knowledge representation. This systematic integration of community needs, cultural preservation, and advanced capabilities could revolutionize how we approach linguistic diversity preservation in the digital age.

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References · 5

  1. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  2. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
  3. 2020Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructurecited by 138
  4. 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
  5. 2019Human-Centered Artificial Intelligence and Machine Learningcited by 37

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