Echoes of Biases: How Stigmatizing Language Affects AI Performance

v1v2v3v4 (latest)

Echoes of Biases: How Stigmatizing Language Affects AI Performance

17 May 2023

ArXiv (abs)PDF HTML

Papers citing "Echoes of Biases: How Stigmatizing Language Affects AI Performance"

18 / 18 papers shown

Title
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 137 47 0 01 Oct 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 78 37 0 05 Aug 2021
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Zhi Wen Xing Han Lù Siva Reddy AI4MH AI4CE 52 37 0 27 Dec 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 143 688 0 06 Nov 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 172 604 0 16 Jun 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 69 175 0 11 Mar 2020
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 60 302 0 03 Dec 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 91 183 0 14 Oct 2019
BEHRT: Transformer for Electronic Health Records Yikuan Li Shishir Rao J. R. A. Solares A. Hassaine D. Canoy Yajie Zhu K. Rahimi G. Salimi-Khorshidi OOD 113 465 0 22 Jul 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 77 213 0 19 Jul 2019
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission Kexin Huang Jaan Altosaar Rajesh Ranganath OOD 133 909 0 10 Apr 2019
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 208 1,988 0 06 Apr 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 184 5,684 0 25 Jan 2019
On Adversarial Examples for Character-Level Neural Machine Translation J. Ebrahimi Daniel Lowd Dejing Dou AAML 94 221 0 23 Jun 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 349 721 0 17 Apr 2018
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 227 2,910 0 14 Mar 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 105 567 0 24 Dec 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 88 839 0 16 Jun 2016