P. Nicholas

2022

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from P. Nicholas's perspective

Ordered by how strongly the researchers P. Nicholas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
2. Semantics derived automatically from language corpora contain human-like biases
3. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
4. Dissecting racial bias in an algorithm used to manage the health of populations
5. Race after technology. Abolitionist tools for the new Jim Code
6. Guidance for conducting systematic scoping reviews (International Journal of Evidence-Based Healthcare)
7. Women also Snowboard: Overcoming Bias in Captioning Models
8. Language (Technology) is Power: A Critical Survey of “Bias” in NLP
9. A scoping review on the conduct and reporting of scoping reviews (BMC Medical Research Methodology)
10. Sorting Things Out: Classification and Its Consequences

Their papers

• Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2022) — 390 citations
• Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction (2022) — 35 citations