When a health service adopts an AI tool, community input usually arrives late, after the tool is chosen and the decision is effectively made. This workshop brings it forward, to the moment the idea is raised and before anything is committed.
The task is not to judge whether an AI tool is accurate. It is to work out how co-design should shape the decision from the very beginning: what problem the tool is meant to solve, whether AI is the right response, and who needs to be in the room to answer that.
In this workshop's scenario, the Chief Information Officer of a screening service wants to bring in an AI tool to decide who the program should reach. Working in small groups, you take on the role of the project team asked to lead it. Using structured design tools, you learn to frame the challenge before committing to a solution: what is the real problem, and what impact are you trying to have.
From there the group develops a co-design plan: whose knowledge is needed, and how community and stakeholder voices are brought in early rather than after the contract is signed. Bringing them in at this point shapes the decision itself: whether to use the tool at all, and if so, on what conditions.
You leave with a way of working and a sense of why co-design belongs at the start of any AI decision, not the end. It suits program leads, commissioners, evaluators, researchers and community representatives.