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 / 315 papers shown

Title
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 99 93 0 06 Aug 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 38 8 0 22 Jul 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 33 19 0 22 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 32 159 0 15 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 21 104 0 28 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 42 122 0 21 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 30 134 0 16 Jun 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models Soumya Barikeri Anne Lauscher Ivan Vulić Goran Glavas 45 178 0 07 Jun 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model Kathleen C. Fraser I. Nejadgholi S. Kiritchenko 19 37 0 04 Jun 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants Gavin Abercrombie Amanda Cercas Curry Mugdha Pandya Verena Rieser 36 53 0 04 Jun 2021
CogView: Mastering Text-to-Image Generation via Transformers Ming Ding Zhuoyi Yang Wenyi Hong Wendi Zheng Chang Zhou ... Junyang Lin Xu Zou Zhou Shao Hongxia Yang Jie Tang ViT VLM 24 762 0 26 May 2021
How Reliable are Model Diagnostics? V. Aribandi Yi Tay Donald Metzler 19 19 0 12 May 2021
Evaluating Gender Bias in Natural Language Inference Shanya Sharma Manan Dey Koustuv Sinha 25 41 0 12 May 2021
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus Jack Bandy Nicholas Vincent 23 57 0 11 May 2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers Navid Rekabsaz Simone Kopeinik Markus Schedl 24 61 0 28 Apr 2021
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models Tejas Srinivasan Yonatan Bisk VLM 26 55 0 18 Apr 2021
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach Francisco Valentini Germán Rosati Damián E. Blasi D. Slezak Edgar Altszyler 22 3 0 13 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders Brendan Chambers James A. Evans MedIm 13 0 0 13 Apr 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 33 281 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 47 176 0 07 Mar 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings Bhavya Ghai Md. Naimul Hoque Klaus Mueller 29 26 0 05 Mar 2021
Measuring Model Biases in the Absence of Ground Truth Osman Aka Ken Burke Alex Bauerle Christina Greer Margaret Mitchell 23 34 0 05 Mar 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 68 415 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 22 179 0 08 Feb 2021
Low-skilled Occupations Face the Highest Upskilling Pressure Di Tong Lingfei Wu James Allen Evans 32 1 0 27 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 38 39 0 23 Jan 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 138 0 23 Jan 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 21 16 0 22 Jan 2021
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 22 18 0 17 Dec 2020
Towards Neural Programming Interfaces Zachary Brown Nathaniel R. Robinson David Wingate Nancy Fulda AI4CE 20 5 0 10 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva Rohit Chopra Matthew C. Gombolay TDI 21 15 0 03 Dec 2020
Argument from Old Man's View: Assessing Social Bias in Argumentation Maximilian Spliethover Henning Wachsmuth 8 20 0 24 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 77 670 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 18 13 0 05 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 27 156 0 28 Oct 2020
Towards Ethics by Design in Online Abusive Content Detection S. Kiritchenko I. Nejadgholi 21 13 0 28 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias Marion Bartl Malvina Nissim Albert Gatt 28 123 0 27 Oct 2020
Rethinking embedding coupling in pre-trained language models Hyung Won Chung Thibault Févry Henry Tsai Melvin Johnson Sebastian Ruder 95 142 0 24 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 20 645 0 30 Sep 2020
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients Jing An Lexing Ying Yuhua Zhu 37 38 0 28 Sep 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation Francisco Vargas Ryan Cotterell 35 30 0 20 Sep 2020
Alfie: An Interactive Robot with a Moral Compass Cigdem Turan P. Schramowski Constantin Rothkopf Kristian Kersting LM&Ro 11 0 0 11 Sep 2020
Investigating Gender Bias in BERT Rishabh Bhardwaj Navonil Majumder Soujanya Poria 33 106 0 10 Sep 2020
Assessing Demographic Bias in Named Entity Recognition Shubhanshu Mishra Sijun He Luca Belli 12 46 0 08 Aug 2020
Discovering and Categorising Language Biases in Reddit Xavier Ferrer Aran Tom van Nuenen Jose Such Natalia Criado 8 49 0 06 Aug 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 23 38 0 09 Jul 2020
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline Yuhao Du K. Joseph 14 4 0 20 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 26 96 0 19 Jun 2020