Sense-Making of Machine Learning by Non-ML experts

To understand how stakeholders would make sense of the proposed prototype, we developed a method for conducting co-design workshops with actual ML technologies. Designing bespoke transparencies that represented possible explanations (see left), participants engaged in a series of open tasks. We studied the patterns of behavior with the supplied artefacts, and gained invaluable insights for the further progression of our prototype regarding socio-technical factors that could not have been appreciated before.