The widespread adoption of computer vision affects the lives of its users at unprecedented levels, and populations already exposed to various forms of discrimination are most vulnerable. Working with The Photographers' Gallery, Secondary Art & Design teachers across London and trainee teachers at UCL Institute of Education, this project will result in the creation and annotation of visual datasets, to understand how they influence algorithmic decision-making. They will develop methods to involve people who are usually unwittingly included in the process of elaboration of datasets and likely to be impacted by them. Through hands-on experimentation with dataset curation and machine training, participants will be given a concrete context through which they can understand the risks and benefits of AI and computer vision. The teachers will then cascade this lesson to their pupils, maximising impact using the ‘train the trainer’ model. This project informs the development of a larger body of research led by the Centre for the Study of the Networked Image.