Abstract
AbstractRisk assessment is a scientific exercise that aims at anticipating hazards. Prediction has always been a rallying call for the scientists that gave birth to this interdisciplinary movement in the 1970s. Several decades later, the broad movement of digitalisation and the promises of artificial intelligence seem to be pushing the limits of risk assessment and herald an era of faster and more precise predictions. This chapter briefly reviews the history of chemical risk assessment methods developed by regulatory bodies and associated research groups, and the complex ways it has digitalised. It unpacks digitalisation, to probe how its various aspects—datafication, computational innovation and modelling theories—align to meaningfully transform it, and determine whether the ever-revamped technological promise of prediction is within a closer reach than it was before.
Publisher
Springer Nature Switzerland
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