Artificial Intelligence › Core AI ›

Fairness

1139 directly classified papers

Papers per year

Papers

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging AAAI 2023

LUCID: Exposing Algorithmic Bias through Inverse Design AAAI 2023

MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition AAAI 2023

Can We Trust Fair-AI? AAAI 2023

Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023

CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE! ACL 2023

Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model ACL 2023

Modeling Appropriate Language in Argumentation ACL 2023

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model ACL 2023

MISGENDERED: Limits of Large Language Models in Understanding Pronouns ACL 2023

Dialect-robust Evaluation of Generated Text ACL 2023

FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023

What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics ACL 2023

WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models ACL 2023

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models ACL 2023

Uncovering and Categorizing Social Biases in Text-to-SQL ACL 2023

An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023

A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models ACL 2023

Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023

Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases ACL 2023

Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023

D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias ACL 2023

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements ACL 2023

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023