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Responsible AI
1991 directly classified papers
Papers per year
2011: 1
2016: 1
2017: 7
2018: 10
2019: 22
2020: 51
2021: 91
2022: 145
2023: 207
2024: 526
2025: 760
2026: 170
Papers
Gender and Representation Bias in GPT-3 Generated Stories
NAACL 2021
Label-Only Membership Inference Attacks
ICML 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics
ALT 2021
Auditing Robot Learning for Safety and Compliance during Deployment
CORL 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
EACL 2021
Guiding Principles for Participatory Design-inspired Natural Language Processing
ACL 2021
NLP for Consumer Protection: Battling Illegal Clauses in German Terms and Conditions in Online Shopping
ACL 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models
JMLR 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
JMLR 2021
Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges
ACL 2021
Evaluation of Summarization Systems across Gender, Age, and Race
EMNLP 2021
Challenges in Detoxifying Language Models
EMNLP 2021
Ruddit: Norms of Offensiveness for English Reddit Comments
ACL 2021
Towards Argument Mining for Social Good: A Survey
IJCNLP 2021
HateCheck: Functional Tests for Hate Speech Detection Models
IJCNLP 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts
IJCNLP 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
EMNLP 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Sustainable Modular Debiasing of Language Models
EMNLP 2021
Reliability Testing for Natural Language Processing Systems
IJCNLP 2021
Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
IJCNLP 2021
Societal Biases in Language Generation: Progress and Challenges
IJCNLP 2021
Probing Toxic Content in Large Pre-Trained Language Models
IJCNLP 2021
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
ACL 2020
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