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Responsible AI

2,003 papers

Papers per year

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Papers

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing NAACL 2021
Case Study: Deontological Ethics in NLP NAACL 2021
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021
On the State of Social Media Data for Mental Health Research NAACL 2021
Identifying Automatically Generated Headlines using Transformers NAACL 2021
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models NAACL 2021
Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline NAACL 2021
Gender and Representation Bias in GPT-3 Generated Stories NAACL 2021
A Crash Course on Ethics for Natural Language Processing NAACL 2021
Privacy Budget Scheduling OSDI 2021
AViD Dataset: Anonymized Videos from Diverse Countries NIPS 2020
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space NIPS 2020
Capturing the Style of Fake News AAAI 2020
Asymptotically Unambitious Artificial General Intelligence AAAI 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020
Actionable Ethics through Neural Learning AAAI 2020
A Survey of the State of Explainable AI for Natural Language Processing AACL 2020
“You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases ACL 2020
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? ACL 2020
Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020
Language (Technology) is Power: A Critical Survey of “Bias” in NLP ACL 2020
The State and Fate of Linguistic Diversity and Inclusion in the NLP World ACL 2020
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020
Integrating Ethics into the NLP Curriculum ACL 2020