School students actively contribute to artificial intelligence (AI) technologies as data producers. As future professionals and creators of AI technologies, they will shape the data culture in various domains. Therefore, AI literacy is proposed as a top priority for education systems worldwide. However, when it comes to education about AI in schools, there is little evidence on which data-related skills are fundamental and how to help students acquire them effectively. In this work, I propose considering data literacy as a fundamental component in AI education. The main objective of this research is to discuss this position and present a method for introducing AI through the lens of data literacy using case studies from the real world.

DOI: https://doi.org/10.1145/3631802.3631839

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