  Responsible AI design is increasingly seen as an imperative by both AI
developers and AI compliance experts. One of the key tasks is envisioning AI
technology uses and risks. Recent studies on the model and data cards reveal
that AI practitioners struggle with this task due to its inherently challenging
nature. Here, we demonstrate that leveraging a Large Language Model (LLM) can
support AI practitioners in this task by enabling reflexivity, brainstorming,
and deliberation, especially in the early design stages of the AI development
process. We developed an LLM framework, ExploreGen, which generates realistic
and varied uses of AI technology, including those overlooked by research, and
classifies their risk level based on the EU AI Act regulation. We evaluated our
framework using the case of Facial Recognition and Analysis technology in nine
user studies with 25 AI practitioners. Our findings show that ExploreGen is
helpful to both developers and compliance experts. They rated the uses as
realistic and their risk classification as accurate (94.5%). Moreover, while
unfamiliar with many of the uses, they rated them as having high adoption
potential and transformational impact.
