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A Mulching Proposal

16 references·16 citing·38 second hopsampled

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References

2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
2018Algorithms of Oppression2,709 cited
2016Accountability in algorithmic decision making757 cited
2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
2019Actionable Auditing650 cited
2018The Misgendering Machines505 cited
2020Algorithms of Oppression459 cited
2018The Measure and Mismeasure of Fairness445 cited
2019Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning385 cited
2017Life, Liberty, and Trade Secrets: Intellectual Property in the Criminal Justice System200 cited
2017Algorithmic Transparency for the Smart City184 cited
2017Algorithmic Mediation in Group Decisions182 cited
2020Data Science as Political Action: Grounding Data Science in a Politics of Justice157 cited
2018Investigating the Impact of Gender on Rank in Resume Search Engines155 cited
2015Bearing Account-able Witness to the Ethical Algorithmic System126 cited
2018

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Automating Bias

86 cited

Cited by

2021Ethics-based auditing of automated decision-making systems: intervention points and policy implications62 cited
2022Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes62 cited
2020Algorithmic bias and the Value Sensitive Design approach57 cited
2023Insolvent56 cited
2022How Platform-User Power Relations Shape Algorithmic Accountability47 cited
2021Certification systems for machine learning: Lessons from sustainability43 cited
2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems42 cited
2023“☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms39 cited
2021Beyond Kant and Bentham: How Ethical Theories are being used in Artificial Moral Agents39 cited
2022CounterFAccTual: How FAccT Undermines Its Organizing Principles34 cited
2023NLPositionality: Characterizing Design Biases of Datasets and Models31 cited
2022Dirty Data Labeled Dirt Cheap: Epistemic Injustice in Machine Learning Systems28 cited
2023Differential Fairness: An Intersectional Framework for Fair AI27 cited
2024Ethical AI governance: mapping a research ecosystem25 cited
2022The multisided complexity of fairness in recommender systems24 cited
2024Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm20 cited