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
Towards Responsible Natural Language Annotation for the Varieties of Arabic A. S. Bergman Mona T. Diab 24 18 0 17 Mar 2022
Geographic Adaptation of Pretrained Language Models Valentin Hofmann Goran Glavavs Nikola Ljubevsić J. Pierrehumbert Hinrich Schütze VLM 21 16 0 16 Mar 2022
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings Yi Zhou Masahiro Kaneko Danushka Bollegala 29 23 0 14 Mar 2022
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations Robert Wolfe Aylin Caliskan VLM 21 13 0 14 Mar 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models Masashi Takeshita Rafal Rzepka K. Araki 29 6 0 10 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 2022
A study on the distribution of social biases in self-supervised learning visual models Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 22 18 0 03 Mar 2022
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups Amy A. Winecoff E. A. Watkins 30 17 0 02 Mar 2022
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas L. Griffiths Robert D. Hawkins 29 12 0 24 Feb 2022
Linear Adversarial Concept Erasure Shauli Ravfogel Michael Twiton Yoav Goldberg Ryan Cotterell KELM 81 57 0 28 Jan 2022
Handling Bias in Toxic Speech Detection: A Survey Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 17 91 0 26 Jan 2022
Feminist Perspective on Robot Learning Processes Juana Valeria Hurtado Valentina Mejia FaML 14 3 0 26 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 232 422 0 24 Jan 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 36 6 0 22 Jan 2022
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency Austin Van Loon Salvatore Giorgi Robb Willer J. Eichstaedt 42 10 0 20 Jan 2022
CM3: A Causal Masked Multimodal Model of the Internet Armen Aghajanyan Po-Yao (Bernie) Huang Candace Ross Vladimir Karpukhin Hu Xu ... Dmytro Okhonko Mandar Joshi Gargi Ghosh M. Lewis Luke Zettlemoyer 15 154 0 19 Jan 2022
Quantifying Gender Bias in Consumer Culture Reihane Boghrati Jonah A. Berger 14 8 0 10 Jan 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 30 110 0 28 Dec 2021
Quantifying Gender Biases Towards Politicians on Reddit Sara Vera Marjanović Karolina Stañczak Isabelle Augenstein 11 15 0 22 Dec 2021
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models Pieter Delobelle E. Tokpo T. Calders Bettina Berendt 19 25 0 14 Dec 2021
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models Benjamin Minixhofer Fabian Paischer Navid Rekabsaz 24 74 0 13 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 27 76 0 09 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 21 3 0 30 Nov 2021
Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains S N Khosla 18 0 0 22 Nov 2021
Exploring Language Patterns in a Medical Licensure Exam Item Bank Swati Padhee Kimberly Swygert Ian Micir 16 1 0 20 Nov 2021
AI and Blackness: Towards moving beyond bias and representation Christopher L. Dancy P. Saucier 19 10 0 05 Nov 2021
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 11 5 0 03 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 22 26 0 25 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z Leibo 42 7 0 21 Oct 2021
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models Nicholas Meade Elinor Poole-Dayan Siva Reddy 22 123 0 16 Oct 2021
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 223 374 0 15 Oct 2021
Multi-Agent Algorithmic Recourse Andrew O'Brien Edward J. Kim 31 5 0 01 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 87 51 0 01 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens Saad Hassan Matt Huenerfauth Cecilia Ovesdotter Alm 46 38 0 01 Oct 2021
Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution Hillary Dawkins 9 0 0 28 Sep 2021
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender Sky CH-Wang David Jurgens 24 7 0 22 Sep 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 109 28 0 21 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 98 49 0 21 Sep 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 52 0 17 Sep 2021
SWEAT: Scoring Polarization of Topics across Different Corpora Federico Bianchi Marco Marelli P. Nicoli M. Palmonari 34 6 0 15 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT Jaimeen Ahn Alice H. Oh 142 92 0 13 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu Qing Guo FaML 157 94 0 12 Sep 2021
Assessing the Reliability of Word Embedding Gender Bias Measures Yupei Du Qixiang Fang D. Nguyen 46 21 0 10 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 42 23 0 09 Sep 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation Shahar Levy Koren Lazar Gabriel Stanovsky 31 64 0 08 Sep 2021
Sustainable Modular Debiasing of Language Models Anne Lauscher Tobias Lüken Goran Glavas 55 120 0 08 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 37 20 0 01 Sep 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies Sunipa Dev Masoud Monajatipoor Anaelia Ovalle Arjun Subramonian J. M. Phillips Kai-Wei Chang 33 164 0 27 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 57 429 0 10 Aug 2021
On Measures of Biases and Harms in NLP Sunipa Dev Emily Sheng Jieyu Zhao Aubrie Amstutz Jiao Sun ... M. Sanseverino Jiin Kim Akihiro Nishi Nanyun Peng Kai-Wei Chang 31 80 0 07 Aug 2021