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Responsible AI

2,003 papers

Papers per year

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Papers

ProPILE: Probing Privacy Leakage in Large Language Models NIPS 2023
Into the LAION’s Den: Investigating Hate in Multimodal Datasets NIPS 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NIPS 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NIPS 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023
Evaluating the Moral Beliefs Encoded in LLMs NIPS 2023
DICES Dataset: Diversity in Conversational AI Evaluation for Safety NIPS 2023
Private Everlasting Prediction NIPS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
On the Exploitability of Instruction Tuning NIPS 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023
Responsible AI (RAI) Games and Ensembles NIPS 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks AAAI 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023
Improvement-Focused Causal Recourse (ICR) AAAI 2023
Rehabilitating Homeless: Dataset and Key Insights AAAI 2023
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy AAAI 2023
Counterfactual Fairness Is Basically Demographic Parity AAAI 2023
Can We Trust Fair-AI? AAAI 2023
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective AAAI 2023
Towards Societal Impact of AI AAAI 2023
Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency AAAI 2023
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course AAAI 2023
An Analysis of Engineering Students’ Responses to an AI Ethics Scenario AAAI 2023