Calculating risk is relatively straightforward when there is reliable
statistical evidence on which to base a judgment . However, novel tech
nologies are often characterised by a lack of such historical data, wh
ich creates a problem for risk assessment. In fact, numerical risk ass
essment can be positively misleading in such situations. We describe a
decision support system -- StAR -- that gives quantitative assessment
s where appropriate, but which is also able to provide qualitative ris
k assessments based on arguments for and against the presence of risk.
The user is presented with a summary statement of risk, together with
the arguments that underlie this assessment. Furthermore, the user is
able to search beyond these top-level arguments in order to discover
more about the available evidence. Here we suggest that this approach
is well-suited to the way in which people naturally make decisions, an
d we show how the StAR approach has been implemented in the domain of
toxicological risk assessment.