#AI Transparency
Latest news articles tagged with "AI Transparency". Follow the timeline of events, related topics, and entities.
Articles (3)
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🇺🇸 Batch-CAM: Introduction to better reasoning in convolutional deep learning models
[USA]
arXiv:2510.00664v2 Announce Type: replace Abstract: Deep learning opacity often impedes deployment in high-stakes domains. We propose a training framework that aligns model focus with class-represent...
Related: #Deep Learning, #Model Interpretability -
🇺🇸 Provable Training Data Identification for Large Language Models
[USA]
arXiv:2510.09717v2 Announce Type: replace-cross Abstract: Identifying training data of large-scale models is critical for copyright litigation, privacy auditing, and ensuring fair evaluation. However...
Related: #Data Privacy, #Copyright Protection, #Statistical Reliability -
🇺🇸 Understanding neural networks through sparse circuits
[USA]
OpenAI is exploring mechanistic interpretability to understand how neural networks reason. Our new sparse model approach could make AI systems more transparent and support safer, more reliable behavio...
Related: #Neural Networks, #Safety and Reliability