The FAIR principles represent a concept aimed at accelerating the circulation of knowledge through data publication platforms (repositories) that are Findable, Accessible, Interoperable, and Reusable. While constructing data in accordance with FAIR principles has become common practice in many fields, this requires tasks such as properly assigning identifiers and metadata to make data Findable. Such work has often been given low priority and postponed, but in recent years it has increasingly been undertaken as a matter of course. What powerfully reinforces this trend is generative AI. This presentation examines how generative AI can be utilized in data publication platforms and how it can thereby promote FAIR principles. For example, the Mahalo Button (https://mahalo.ex.nii.ac.jp/) that we are developing is an attempt to reuse usage examples from papers with generative AI in order to enhance data reusability. While introducing such initiatives, we will also discuss the new possibilities that emerge through the utilization of generative AI.

      @InProceedings{ sgepss25,
      author = {Asanobu KITAMOTO},
      title = {FAIR Principles and Generative AI},
      booktitle = {SGEPSS 2025 Fall Meeting},
      pages = {},
      year = 2025,
      month = 11,
      note = { (in Japanese)},
      }