Hazard: Lacks Informed Consent#
This hazard applies to datasets or algorithms that use data which has not been provided with the explicit consent of the data owner/creator. This data often lacks other contextual information which can also make it difficult to understand how the dataset may be biased.
Example 1: Large public social media datasets rarely collect informed consent from ‘participants’.
Example 2: Data linkage projects tend not to involve informed consent.
Being clear about the limitations of any ground truth inferences made from the data.
Systems built solely with this type of data should not be applied in practice.