The impact of intelligent decision-support systems on humans' ethical decision-making: A systematic literature review and an integrated framework.

With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans' ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape humans' ethical decision-making. In particular, we identify resulting consequences on an individual level (i.e., deliberation enhancement, motivation enhancement, autonomy enhancement and action enhancement) and on a societal level (i.e., moral deskilling, restricted moral progress and moral responsibility gaps). We carve out two distinct methods/operation types (i.e., process-oriented and outcome-oriented navigation) that decision-support systems can deploy and postulate that these determine to what extent the previously stated consequences materialize. Overall, this study holds important theoretical and practical implications by establishing clarity in the conceptions, underlying mechanisms and (directions of) influences that can be expected when using particular IDSSs for ethical decisions. • Synthesis of 45 articles investigating intelligent decision-support systems' (IDSSs) impact on ethical decision-making. • IDSSs can operate through 'process-oriented' or 'outcome-oriented' navigation. • Outcomes for humans' ethical decision-making on an individual and societal level are identified. • Nine potential interrelations are postulated that can be validated in future empirical investigations. [ABSTRACT FROM AUTHOR]

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