Data and AI Literacy as an enabler for informed decision making in the data age
Data & AI Literacy: Awareness-Readiness-Model. Source: Schueller et al., 2023
Our short paper on Data & AI Literacy Roles and Competence Levels is a joint publication by Katharina Schueller, Florian Rampelt (Stifterverband/AI Campus), Henning Koch (AI Campus) and Johannes Schleiss (Otto-von-Guericke-University Magedeburg). The paper was accepted at GI Informatik Festival 2023, Berlin, for the workshop on AI education. The poster was presented at IEEE CS Techforum 2023 in Washington, DC.
Data and AI literacy is an important enabler for informed decision making in the data age. To inform educational programs and policies, it is important to create a common understanding about the required knowledge and skills. In this paper, we propose a novel taxonomy to data and AI literacy based on qualitative literature analysis and expert group discussions. We introduce three key roles related to Data and AI Literacy: the informed prosumer, the skilled user, and the expert creator. Moreover, we argue that Data and AI Awareness as the lowest level of understanding and recognizing is a necessary prerequisite but not a sufficient condition to Data and AI Literacy. We rather equate Data and AI Literacy with Data and AI Readiness. Further work will focus on defining the core knowledge, skills and competences of the taxonomy.
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