Abstract: The clustering assumption is widely adopted in semi-supervised semantic segmentation methods. However, this assumption heavily relies on high-quality feature representation, leading to ...
and temporal biases that anchor models to outdated information. “Additionally, more subtle cognitive biases, such as anchoring effects and availability bias, can influence LLM outputs in nuanced ...
However, the hope that AI will positively influence health-care delivery and outcomes needs to be balanced against the risks of harm associated with algorithmic biases. Without careful and intentional ...