algorithmic bia

Investigating model performance in language identification: beyond simple error statistics Interspeech 2023 LUCID: Exposing Algorithmic Bias through Inverse Design AAAI 2023 Scalable Spectral Clustering with Group Fairness Constraints AISTATS 2023 Towards Gender Fairness for Mental Health Prediction IJCAI 2023 Domain Adaptation meets Individual Fairness. And they get along. NeurIPS 2022 Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022 Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring NAACL 2022 Investigations of Performance and Bias in Human-AI Teamwork in Hiring AAAI 2022 Robustness Disparities in Face Detection NeurIPS 2022 Should We Ban English NLP for a Year? EMNLP 2022 Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation EACL 2021 On the Problem of Underranking in Group-Fair Ranking ICML 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract) AAAI 2021 Actionable Ethics through Neural Learning AAAI 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Toward Gender-Inclusive Coreference Resolution ACL 2020 Meaningful Explanations of Black Box AI Decision Systems AAAI 2019 Algorithmic Bias in Autonomous Systems IJCAI 2017