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#robustness
Stories connected through a shared idea, actor, technology or theme.
Microsoft research highlights failures outside standard AI benchmarksThe discussion focuses on failures that emerge when AI systems are tested beyond conventional benchmarks and on the importance of examining the underlying data. It argues that evaluation must include surprising and real-world failure modes rather than relying only on headline scores.→NNV3 expands formal verification across modern AI systemsNNV3 introduces verification methods for weight perturbations, video and volumetric inputs, graph neural networks and probabilistic reachability. Its new benchmarks cover malware detection, power systems, medical imaging, time series and action recognition.→RobustifAI targets deployment failures beyond benchmark scoresThe workshop takes place at IJCAI-ECAI on 15 August and covers robustness across models, deployment and user interaction. Its agenda includes distribution shift, adversarial inputs, tool use, human interaction, monitoring and assurance.→