← Core AI
Artificial Intelligence › Core AI ›

Fairness

1139 directly classified papers

Papers per year

Papers

Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020
Unsupervised Discovery of Implicit Gender Bias EMNLP 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020
A negative case analysis of visual grounding methods for VQA ACL 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020
LOGAN: Local Group Bias Detection by Clustering EMNLP 2020
Multi-Dimensional Gender Bias Classification EMNLP 2020
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020
Towards Debiasing Sentence Representations ACL 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities ACL 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Toward Gender-Inclusive Coreference Resolution ACL 2020
“You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases ACL 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020
Learning to Deceive with Attention-Based Explanations ACL 2020
Pairwise Fairness for Ranking and Regression AAAI 2020
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience AAAI 2020
An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020
Designing Committees for Mitigating Biases AAAI 2020
Faking Fairness via Stealthily Biased Sampling AAAI 2020
Debiasing knowledge graph embeddings EMNLP 2020
Towards Controllable Biases in Language Generation EMNLP 2020