Designing accountability in AI-enabled services Artificial intelligence systems (AI, specifically data-driven systems that generate predictions, classifications or recommendations based on statistical models and/or machine learning techniques) are increasingly used in service design and delivery, embedded in service processes, influencing how decisions are prepared, prioritised and executed. As their role becomes more prominent, it becomes relevant to clarify how responsibility is structured when humans and AI (or AI-enabled) systems both contribute to service outcomes.