  Given that there are a variety of stakeholders involved in, and affected by,
decisions from machine learning (ML) models, it is important to consider that
different stakeholders have different transparency needs. Previous work found
that the majority of deployed transparency mechanisms primarily serve technical
stakeholders. In our work, we want to investigate how well transparency
mechanisms might work in practice for a more diverse set of stakeholders by
conducting a large-scale, mixed-methods user study across a range of
organizations, within a particular industry such as health care, criminal
justice, or content moderation. In this paper, we outline the setup for our
study.
