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Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

North American Chapter of the Association for Computational Linguistics, 2019
Word embeddings are widely used in NLP for a vast range of tasks. It was shown that word embeddings derived from text corpora reflect gender biases in society.
Hila Gonen, Yoav Goldberg
semanticscholar   +1 more source

Biased Knowers, Biased Reasons, and Biased Philosophers

International Journal for the Study of Skepticism
Abstract In Bias: A Philosophical Study, Thomas Kelly offers a response to epistemological skepticism grounded in his account of bias. According to Kelly, the classic argument for skepticism is best understood as an attempt to show that our commonsense beliefs are biased against the skeptic. Kelly grants that this is true but argues that biased beliefs
openaire   +1 more source

Biased Surveys

SSRN Electronic Journal, 2023
Luca Gemmi, Rosen Valchev
openaire   +1 more source

Sampling Biases Explain Decision Biases

2017
Sampling explanations focus on biases in the information available to managers instead of biases in how managers process the available information. Managers seldom have access to a random or representative sample of outcomes. The available sample of outcomes is often subject to a selection bias.
openaire   +1 more source

Common method biases in behavioral research: a critical review of the literature and recommended remedies.

Journal of Applied Psychology, 2003
P. M. Podsakoff   +3 more
semanticscholar   +1 more source

Judgment Under Uncertainty: Heuristics and Biases.

, 1984
G. Shafer   +3 more
semanticscholar   +1 more source

Biased

British Dental Journal, 1994
openaire   +2 more sources

Biases

2023
Siddhant Thukral   +2 more
openaire   +2 more sources

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