AI AND LIABILITY IN MEDICINE: THE CASE OF ASSISTIVE-DIAGNOSTIC AI

AI and Liability in Medicine: The Case of Assistive-Diagnostic AI

As the prevalence of assistive-diagnostic artificial intelligence Medium Weight (AI) grows, so too will the legal controversies surrounding its use continue to grow.Consequently, determining liability in cases where patients experience harm due to the use of assistive-diagnostic AI in personal healthcare services requires a re-evaluation of existin

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CONTRASTIVE SELF-SUPERVISED DATA FUSION FOR SATELLITE IMAGERY

Self-supervised learning has great potential for the remote sensing domain, where unlabelled observations are abundant, but labels are hard to obtain.This work leverages unlabelled multi-modal remote sensing data for augmentation-free contrastive self-supervised learning.Deep neural network models are trained to maximize the similarity of latent re

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