AI raises new issues regarding potential of 'incidental findings' - discoveries that are not the primary reason for the data capture, but may be meaningful. These are typically discussed in a health context in which, for example, a test is conducted to investigate one issue, but data (imaging/genomic, etc.) also reveals information that may be indicative of a separate issue. These are ethically challenging because they raise questions regarding consent, and the actionability of such information, particularly in contexts where our ability to identify features in data may have grown at a faster rate than our ability to safely interpret such features for actionable outcomes.For some discussion of this issue in neuroscience research in education, see:Donna Coch (2007) Neuroimaging research with children: ethical issues and case scenarios, Journal of Moral Education, 36:1, 1-18, DOI: [
1. 1080/03057240601185430](https://doi.org/
1. 1080/03057240601185430)