3 papers
cs.HC2024
Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models
Michelle Cohn, Mahima Pushkarna, Gbolahan O. Olanubi +4
People now regularly interface with Large Language Models (LLMs) via speech and text (e.g., Bard) interfaces. However, little is known about the relationship between how users anth…
cs.CV2024
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images
Hansa Srinivasan, Candice Schumann, Aradhana Sinha +5
Capturing the diversity of people in images is challenging: recent literature tends to focus on diversifying one or two attributes, requiring expensive attribute labels or building…
cs.CV2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann, Gbolahan O. Olanubi, Auriel Wright +3
Understanding different human attributes and how they affect model behavior may become a standard need for all model creation and usage, from traditional computer vision tasks to t…