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Responsible AI

1991 directly classified papers

Papers per year

Papers

A Weakly Supervised Classifier and Dataset of White Supremacist Language ACL 2023

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications ACL 2023

Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity ACL 2023

Towards Societal Impact of AI AAAI 2023

Responsible Robotics: A Socio-Ethical Addition to Robotics Courses AAAI 2023

AI Audit: A Card Game to Reflect on Everyday AI Systems AAAI 2023

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023

CertiFair: A Framework for Certified Global Fairness of Neural Networks AAAI 2023

Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages EACL 2023

Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023

hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A) SEMEVAL 2023

Protecting Language Generation Models via Invisible Watermarking ICML 2023

CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023

Towards Explainable and Accessible AI EMNLP 2023

Anthropomorphization of AI: Opportunities and Risks EMNLP 2023

Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains EMNLP 2023

Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023

Med-HALT: Medical Domain Hallucination Test for Large Language Models EMNLP 2023

Large Language Models as SocioTechnical Systems EMNLP 2023

Assessing Political Inclination of Bangla Language Models EMNLP 2023

GTA: Gated Toxicity Avoidance for LM Performance Preservation EMNLP 2023

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing EMNLP 2023

Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023

LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases EMNLP 2023

Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously INTERSPEECH 2023