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Aida Mostafazadeh Davani

Graduate student @ University of Southern California

annotator bias

annotator disagreements

prediction uncertainty

fairness

robustness

subjective task

hate speech

emotion detection

unintended bias

4

presentations

10

number of views

SHORT BIO

Aida is a fifth-year computer science Ph.D. candidate at the University of Southern California (USC). Her main interests include Natural Language Processing, Fairness and Ethics of AI, and Computational Social Science. She is specifically interested in understanding the effects of social biases on developing unfair machine learning models. Her recent research focuses on the impact of cognitive biases and stereotypes on the design and implementation of supervised NLP models. Her previous research has led to developing NLP models to identify moral expressions in language, detect unreported hate crime incidents from local news articles, and mitigate bias in hate speech classification.

Presentations

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations

Aida Mostafazadeh Davani and 2 other authors

On Releasing Annotator-Level Labels and Information in Datasets

Aida Mostafazadeh Davani and 2 other authors

Multi-Annotator Modeling to Encode Diverse Perspectives in Hate Speech Annotations

Aida Mostafazadeh Davani and 2 other authors

Improving Counterfactual Generation for Fair Hate Speech Detection

Aida Mostafazadeh Davani and 5 other authors

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