AI ethics on Thursday, 5 February 2026

Artificial intelligence applied to brain magnetic resonance imaging (MRI) holds potential to advance diagnosis, prognosis and treatment planning for neurological diseases. The field has been constrained, thus far, by limited training data and task-specific models that do not generalize well across patient populations and medical tasks. By leveraging self-supervised learning, pretraining and targeted adaptation, foundation models present a promising paradigm to overcome these limitations. Here we

The use of Artificial Intelligence (AI) to effectively support human decision making depends on whether humans are willing to trust in, and thus rely on, AI. Understanding human reliance on AI is critical given controversial reports of AI inaccuracy and bias. Furthermore, the erroneous belief that using technology removes biases may lead to overreliance on AI. To examine humans’ reliance on AI, human participants (N = 295, Mage = 33.79) judged the authenticity of 80 faces (40 real, 40 AI-synthes

ABSTRACT Carbon accounting is the monitoring and recording of greenhouse gas (GHG) emissions to mitigate and manage carbon emissions. There are numerous singular studies on carbon accounting across geographies and industries. However, there is a need for a comprehensive study discussing carbon accounting enablers, barriers, policy, and reporting landscape and strategies. This study applies a mixed‐method approach to present insights into its enablers, barriers, policy, and reporting landscape an