As algorithmic advice becomes increasingly integral to leaders’ decision-making, concerns about moral responsibility grow more pressing. While algorithms are often praised for their objectivity and efficiency, leaders remain ultimately accountable for their decisions, even when relying on them. This study builds on prior research, which reveals a tendency for individuals to claim greater responsibility for successful outcomes while shifting blame for failures when following algorithmic advice, by examining the role of moral identity in shaping this dynamic. Through vignette experiments, the research contributes to Information Systems (IS) research by providing empirical evidence on how leaders’ moral identity influences their responsibility attribution in algorithmic advised decision-making. By doing so, the study also offers practical implications for organizations seeking to foster ethical leadership.