  In this position paper, we propose the use of existing XAI frameworks to
design interventions in scenarios where algorithms expose users to problematic
content (e.g. anti vaccine videos). Our intervention design includes facts (to
indicate algorithmic justification of what happened) accompanied with either
fore warnings or counterfactual explanations. While fore warnings indicate
potential risks of an action to users, the counterfactual explanations will
indicate what actions user should perform to change the algorithmic outcome. We
envision the use of such interventions as `decision aids' to users which will
help them make informed choices.
