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We examine the problem of explainable AI (xAI) and explore what deliveringxAI means in practice, particularly in contexts that involve formal or informaland ad-hoc collaboration where agency and accountability in decision-making areachieved and sustained interactionally. We use an example from an earlier studyof collaborative decision-making in screening mammography and the difficultiesusers faced when trying to interpret the behavior of an AI tool to illustratethe challenges of delivering usable and effective xAI. We conclude by settingout a study programme for future research to help advance our understanding ofxAI requirements for safe and ethical AI.

Accounts, Accountability and Agency for Safe and Ethical AI