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Blaming Humans and Machines: What Shapes People’s Reactions to Algorithmic Harm
16 references·2 citing·42 second hop
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2004Third-party punishment and social norms2,414 cited
  • 2018Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations1,501 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2004The responsibility gap: Ascribing responsibility for the actions of learning automata1,095 cited
  • 2016Mini Meta‐Analysis of Your Own Studies: Some Arguments on Why and a Primer on How994 cited
  • 2021Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach802 cited
  • 2015Automated Experiments on Ad Privacy Settings664 cited
  • 2021Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them483 cited
  • 1992Egocentric interpretations of fairness and interpersonal conflict477 cited
  • 2019Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance463 cited

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  • 2017Single-Paper Meta-Analysis: Benefits for Study Summary, Theory Testing, and Replicability458 cited
  • 1987Advances in Experimental Social Psychology, Vol. 19458 cited
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    • 2025Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey24 cited
    • 2024Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm20 cited