
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