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LearningOptimalPredictiveChecklists

Neural Information Processing Systems

Checklists are simple decision aids that are often used to promote safety and reliability in clinical applications. In this paper, we present a method to learn checklists for clinical decision support. We represent predictive checklists as discrete linear classifiers with binary features and unit weights.




Victims urge tougher action on deepfake abuse as new law comes into force

The Guardian

Campaigners from Stop Image-Based Abuse delivered a petition to Downing Street calling for greater protection against deepfake image abuse. Campaigners from Stop Image-Based Abuse delivered a petition to Downing Street calling for greater protection against deepfake image abuse. Victims of deepfake image abuse have called for stronger protection against AI-generated explicit images, as the law criminalising the creation of non-consensual intimate images comes into effect. Campaigners from Stop Image-Based Abuse delivered a petition to Downing Street with more than 73,000 signatures, urging the government to introduce civil routes to justice such as takedown orders for abusive imagery on platforms and devices. "Today's a really momentous day," said Jodie, a victim of deepfake abuse who uses a pseudonym.


StrokeRehab: ABenchmarkDatasetfor Sub-secondActionIdentification

Neural Information Processing Systems

Thisapproach outperforms current state-of-the-art methods on StrokeRehab, as well as on the standard benchmark datasets50Salads,Breakfast,andJigsaws.