Zanardi, Irene Dedò, Shana Landoni, Monica 2025 In this pictorial, we describe an activity in which 26 10-year-old children used GenAI to create self-portraits by choosing one of four generated images, suggesting changes, and reflecting on their overall experience. By analyzing their choices and rejections, we investigated whether GenAI could elicit meaningful reflection on its limitations, particularly in representing diverse identities. While we saw moments of awareness, many children accepted results that were simply “good enough,” often focusing on surface-level changes. This Good Enough Effect emphasizes the risk of initial satisfaction limiting more profound engagement. Our main contribution is to show GenAI's ability to spark reflection while also emphasizing the importance of intentional scaffolding in moving beyond acceptance to a more critical understanding of AI and identity. application/pdf https://localhost:5000/ark:/12658/srd1335748 https://susi.usi.ch/global/documents/335748 https://susi.usi.ch/documents/335748/files/3713043.3733253-GoodEnough.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1145/3713043.3733253 info:eu-repo/semantics/altIdentifier/ark/12658/srd1335748 info:eu-repo/semantics/openAccess CC BY ACM, Interaction Design and Children (IDC). - 2025, p. 154-157 GenAI Children Biases Reflection info:eu-repo/classification/udc/004 On the good-enough effect : children reflect on their AI-generated portraits http://purl.org/coar/resource_type/c_5794