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Isar Nejadgholi

  1. A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
    2023/02/14 by Kathleen Fraser, Svetlana Kiritchenko, Fraser, Kathleen C. +3 · 2 citations
    Social Sciences · Arts and Humanities · #Social and Intergroup Psychology #Media Influence and Health #Social and Cultural Dynamics
  2. Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
    2022/04/05 by Isar Nejadgholi, Nejadgholi, Isar, Kathleen Fraser +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG)
  3. Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
    2022/06/08 by Esma Balkır, Svetlana Kiritchenko, Balkir, Esma +5 · 1 citation
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  4. Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
    2022/10/19 by Isar Nejadgholi, Esma Balkır, Nejadgholi, Isar +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection
  5. The crime of being poor
    2023/03/24 by Georgina Curto, Curto, Georgina, Svetlana Kiritchenko +5 · 1 citation
    Social Sciences · #Income, Poverty, and Inequality
  6. Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
    2023/07/04 by Isar Nejadgholi, Svetlana Kiritchenko, Nejadgholi, Isar +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Sentiment Analysis and Opinion Mining #Topic Modeling