Codebook and examples of data coding of policy documents for the study titled "When fairness is an abstraction: Equity and AI in Swedish compulsory education".

Examples of coding of policy documents for the study titled<b> </b><i>"</i><i>When fairness is an abstraction: </i><i>Equity and AI in Swedish compulsory education</i><i>".</i>We coded 12 selected policy documents to identify RSGs and examine their views on fairness and AI application's potential benefits and risks in compulsory education. The unit of analysis was the individual document. More specifically, we read all documents several times. We identified the RSGs, their motives for using AI, the main problems AI can solve, and the perceived benefits and risks of using AI. We conducted a manifest analysis, meaning we remained close to the text, describing the visible, such as the words in the text, without trying to infer latent meanings. The attached file provides examples of data analysis, including coding. For each identified group, we created a table that displays sample quotes from the data to exemplify our codes and categories.<br>Pinch, T. J., &amp; Bijker, W. E. (1984). The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Social Studies of Science, 14(3), 399–441. https://doi.org/10.1177/0306312840140030<i>,</i>