Search Results for author:
Found 6 papers, 2 papers with code
Language Models as Critical Thinking Tools: A Case Study of Philosophers
Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work.
And Then the Hammer Broke: Reflections on Machine Ethics from Feminist Philosophy of Science
Vision is an important metaphor in ethical and political questions of knowledge.
A Roadmap to Pluralistic Alignment
We identify and formalize three possible ways to define and operationalize pluralism in AI systems: 1) Overton pluralistic models that present a spectrum of reasonable responses; 2) Steerably pluralistic models that can steer to reflect certain perspectives; and 3) Distributionally pluralistic models that are well-calibrated to a given population in distribution.
Computer Vision Datasets and Models Exhibit Cultural and Linguistic Diversity in Perception
Computer vision often treats human perception as homogeneous: an implicit assumption that visual stimuli are perceived similarly by everyone.
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation
However, as these annotations cannot represent an individual annotator's uncertainty, models trained on them produce uncertainty maps that are difficult to interpret.
