Canary Exposure

Exposure, in various contexts, is a central theme across diverse scientific fields, with research focusing on optimizing its control and understanding its implications. Current efforts range from maximizing visual exposure in robotic surgery using differentiable physics models and visual servoing to improving high-dynamic-range (HDR) image generation through exposure completion and diffusion models, and analyzing the fairness and impact of exposure in recommender systems and online content platforms. These studies highlight the importance of controlled and equitable exposure across applications, from medical procedures to data privacy and algorithmic fairness, impacting both technological advancement and societal implications.