From a policy perspective, the study suggests that prompt design should be treated as a core component of AI safety, not a ...
A new grant from the Faculty of Psychology and Educational Sciences (Inter-Team projects) at University of Geneva entitled “ Attentional focus and positivity bias during the recognition of vocal ...
Cognitive impairments are highly prevalent and functionally significant consequences of acquired brain injuries, including ...
People are much harsher when they see outcomes biased by gender or race than by physical attractiveness, largely because ...
New research suggests that a specific type of brain training could help socially anxious individuals break the habit of instantly focusing on threatening social cues. A study published in the Journal ...
We categorized bias mitigation approaches into four clusters: (1) modifying existing AI models or datasets, (2) sourcing data from electronic health records, (3) developing tools with a ...
Background: Psychological craving and attentional bias are important indicators of addiction, as well as critical factors influencing relapse. Psychological craving includes withdrawal craving (a ...
Abstract: Computer vision models have been shown to exhibit and amplify biases across a wide array of datasets and tasks. Existing methods for quantifying bias in classification models primarily focus ...
Abstract: Diffusion-based generative models have become increasingly popular in applications such as synthetic data generation and image editing, due to their ability to generate realistic, ...