  Abstract. The risks AI presents to society are broadly understood to be
manageable through general calculus, i.e., general frameworks designed to
enable those involved in the development of AI to apprehend and manage risk,
such as AI impact assessments, ethical frameworks, emerging international
standards, and regulations. This paper elaborates how risk is apprehended and
managed by a regulator, developer and cyber-security expert. It reveals that
risk and risk management is dependent on mundane situated practices not
encapsulated in general calculus. Situated practice surfaces iterable
epistopics, revealing how those involved in the development of AI know and
subsequently respond to risk and uncover major challenges in their work. The
ongoing discovery and elaboration of epistopics of risk in AI a) furnishes a
potential program of interdisciplinary inquiry, b) provides AI developers with
a means of apprehending risk, and c) informs the ongoing evolution of general
calculus.
