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Semantics derived automatically from language corpora contain human-like biases

25 August 2016

Papers citing "Semantics derived automatically from language corpora contain human-like biases"

50 / 516 papers shown

Title
Quantifying Bias in Automatic Speech Recognition Siyuan Feng O. Kudina B. Halpern O. Scharenborg 63 87 0 28 Mar 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders Pengyu Cheng Weituo Hao Siyang Yuan Shijing Si Lawrence Carin 77 105 0 11 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do P. Schramowski Cigdem Turan Nico Andersen Constantin Rothkopf Kristian Kersting 120 298 0 08 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 165 179 0 07 Mar 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings Bhavya Ghai Md. Naimul Hoque Klaus Mueller 84 26 0 05 Mar 2021
Measuring Model Biases in the Absence of Ground Truth Osman Aka Ken Burke Alex Bauerle Christina Greer Margaret Mitchell 91 35 0 05 Mar 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 321 389 0 28 Feb 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 79 70 0 24 Feb 2021
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies Nikolaos Flemotomos Víctor R. Martínez Zhuohao Chen Karan Singla V. Ardulov ... S. P. Lord Tad Hirsch Zac E. Imel David C. Atkins Shrikanth Narayanan 53 47 0 22 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 125 432 0 15 Feb 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models Hannah Rose Kirk Yennie Jun Haider Iqbal Elias Benussi Filippo Volpin F. Dreyer Aleksandar Shtedritski Yuki M. Asano 68 194 0 08 Feb 2021
Symbolic Behaviour in Artificial Intelligence Adam Santoro Andrew Kyle Lampinen Kory W. Mathewson Timothy Lillicrap David Raposo 79 34 0 05 Feb 2021
Detecting discriminatory risk through data annotation based on Bayesian inferences E. Beretta A. Vetrò Bruno Lepri Juan Carlos De Martin 70 21 0 27 Jan 2021
Low-skilled Occupations Face the Highest Upskilling Pressure Di Tong Lingfei Wu James Allen Evans 97 2 0 27 Jan 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela D. Errington Thomas Fisher B. V. Breugel Pasquale Minervini 54 96 0 24 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 97 38 0 23 Jan 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 269 143 0 23 Jan 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 43 16 0 22 Jan 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias Seraphina Goldfarb-Tarrant Rebecca Marchant Ricardo Muñoz Sánchez Mugdha Pandya Adam Lopez 157 180 0 31 Dec 2020
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective S. Kiritchenko I. Nejadgholi Kathleen C. Fraser AILaw 113 89 0 22 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 145 18 0 17 Dec 2020
Towards Neural Programming Interfaces Zachary Brown Nathaniel R. Robinson David Wingate Nancy Fulda AI4CE 116 5 0 10 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 133 532 0 09 Dec 2020
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability Sunipa Dev 85 1 0 25 Nov 2020
Argument from Old Man's View: Assessing Social Bias in Argumentation Maximilian Spliethover Henning Wachsmuth 54 20 0 24 Nov 2020
Debiasing Convolutional Neural Networks via Meta Orthogonalization Kurtis Evan David Qiang Liu Ruth C. Fong FaML 41 3 0 15 Nov 2020
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research Lucy Havens Melissa Mhairi Terras Benjamin Bach Beatrice Alex 87 22 0 11 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 180 688 0 06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 20 17 0 05 Nov 2020
Investigating Societal Biases in a Poetry Composition System Emily Sheng David C. Uthus 83 53 0 05 Nov 2020
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings Thalea Schlender Gerasimos Spanakis 34 3 0 30 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 102 162 0 28 Oct 2020
Towards Ethics by Design in Online Abusive Content Detection S. Kiritchenko I. Nejadgholi 79 13 0 28 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias Marion Bartl Malvina Nissim Albert Gatt 91 125 0 27 Oct 2020
Discovering and Interpreting Biased Concepts in Online Communities Xavier Ferrer-Aran Tom van Nuenen Natalia Criado Jose Such 38 2 0 27 Oct 2020
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings Vaibhav Kumar Tenzin Singhay Bhotia Vaibhav Kumar FaML 35 2 0 25 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 92 5 0 24 Oct 2020
Rethinking embedding coupling in pre-trained language models Hyung Won Chung Thibault Févry Henry Tsai Melvin Johnson Sebastian Ruder 180 143 0 24 Oct 2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness Marwa El Halabi Slobodan Mitrović A. Norouzi-Fard Jakab Tardos Jakub Tarnawski 53 49 0 14 Oct 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 101 47 0 14 Oct 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models Kellie Webster Xuezhi Wang Ian Tenney Alex Beutel Emily Pitler Ellie Pavlick Jilin Chen Ed Chi Slav Petrov FaML 105 260 0 12 Oct 2020
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs Haiyang Zhang Alison Sneyd Mark Stevenson 41 14 0 06 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 154 31 0 06 Oct 2020
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation Ashiqur R. KhudaBukhsh Rupak Sarkar M. Kamlet Tom Michael Mitchell 50 51 0 05 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 116 656 0 04 Oct 2020
Quantifying social organization and political polarization in online platforms Isaac Waller Ashton Anderson 85 140 0 01 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 161 691 0 30 Sep 2020
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients Jing An Lexing Ying Yuhua Zhu 114 40 0 28 Sep 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation Francisco Vargas Ryan Cotterell 86 29 0 20 Sep 2020