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We are investigating classes of mismatches in ML/AI systems integration, to identify the implicit assumptions made by practitioners in different fields (data... https://ischool.umd.edu/news/how-to-make-critical-decision-making-systems-fairer-and-build-trust-in-ai/ How to Make Critical Decision-Making Systems Fairer and Build Trust in AI - College of Information... Aug 15, 2024 - Researchers are developing an AI fairness measure that accounts for individuals' effort and obstacles, using real-world datasets to enhance decision-making... https://publica.fraunhofer.de/entities/publication/c28db5ad-b293-4a70-b971-d25603ddd64d Pattern-based approach for designing fail-operational safety-critical embedded systems To deal with fail-operational (FO) requirements intoday's safety-critical networked embedded systems (SCNES), engineers have to resort to concepts such as... operational safetypatternbasedapproachdesigning https://essr.esa.int/project/libmcs-mathematical-library-for-critical-systems LibmCS - Mathematical library for critical systems mathematicallibrarycriticalsystems https://www.fao.org/family-farming/detail/ar/c/282591/ Comparative Analysis Of Organic And Non-Organic Farming Systems: A Critical Assessment Of Farm... comparative analysis https://security.utoronto.ca/advisories/canssoc-advisory-critical-kibana-vulnerability/ CanSSOC advisory: Vulnerability - Critical Kibana vulnerability exposes systems to code execution -... 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This presentation by Jerome Hugues and John Hudak was given virtually at AADL/ACVIP User Days 2021.