The Social Impact of Decision-Making Algorithms: Reviewing the Influence of Agency, Responsibility and Accountability on Trust and Blame

Despite the ever-growing use of decision-making algorithms in daily life, there has been limited examination of how the supposed agency, responsibility and accountability of these algorithms can have impact on whether users trust them or blame them for failures. Therefore, this contribution reviews current literature relating to these concepts to synthesise present ideas around the social impact of these systems. We highlight the challenges of defining and operationalising these concepts in the context of algorithmic governance and discuss the need for more empirical research on how decision-making algorithms impact trust and blame in practice. We also foreground the importance of presumed agency and whether human agency is mitigated by increased algorithmic agency. After this, we use the AREA 4P responsible research and innovation framework to reflect on the findings of the literature review, which emphasises the need for a more nuanced understanding of the impact of agency, responsibility and accountability on trust and blame in algorithmic decision-making. By addressing these concerns and gaps in research, the authors argue that scholars can develop more effective strategies for ensuring responsible and ethical governance of decision-making algorithms.