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Transparent to whom? No algorithmic accountability without a critical audience

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References

1974Judgment under Uncertainty: Heuristics and Biases28,742 cited
1975Judgment under Uncertainty: Heuristics and Biases22,647 cited
2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
2015The Black Box Society3,781 cited
2014Big Data's Disparate Impact3,046 cited
2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2006Human-Machine Reconfigurations: Plans and Situated Actions2,256 cited
2012Benefits, Adoption Barriers and Myths of Open Data and Open Government2,053 cited
2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
2013Big data: A review1,426 cited
2016Thinking critically about and researching algorithms1,200 cited
2013The Ambivalent Ontology of Digital Artifacts1779 cited
2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes707 cited
2016What is data ethics?636 cited
2016

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Updating to Remain the Same

534 cited

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