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Responsible AI

2,003 papers

Papers per year

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Papers

Learning Self-Consistency for Deepfake Detection ICCV 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021
Label-Only Membership Inference Attacks ICML 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021
Watermarking Deep Neural Networks with Greedy Residuals ICML 2021
Decision Making with Differential Privacy under a Fairness Lens IJCAI 2021
Learning with Selective Forgetting IJCAI 2021
Towards Fair and Transparent Algorithmic Systems IJCAI 2021
HateCheck: Functional Tests for Hate Speech Detection Models IJCNLP 2021
Towards Argument Mining for Social Good: A Survey IJCNLP 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias IJCNLP 2021
Reliability Testing for Natural Language Processing Systems IJCNLP 2021
Probing Toxic Content in Large Pre-Trained Language Models IJCNLP 2021
Societal Biases in Language Generation: Progress and Challenges IJCNLP 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants IJCNLP 2021
Gender Bias in Text: Origin, Taxonomy, and Implications IJCNLP 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts IJCNLP 2021
Guiding Principles for Participatory Design-inspired Natural Language Processing IJCNLP 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) JMLR 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python JMLR 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021
Preregistering NLP research NAACL 2021
Annotating and Modeling Fine-grained Factuality in Summarization NAACL 2021