#ai-assurance News & Analysis

3 articles tagged with #ai-assurance. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBearisharXiv – CS AI · May 97/10

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Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI

A peer-reviewed study evaluates explainability methods in AI systems used for automatic target recognition in safety-critical applications, revealing that popular post-hoc explanation techniques have significant limitations including spurious explanations and vulnerability to manipulation. The research argues that current XAI approaches are insufficient for deployment in high-stakes environments and calls for more robust, causally-grounded methods that prioritize system assurance over visual plausibility.

AIBullisharXiv – CS AI · 4d ago6/10

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AI4SE and SE4AI Exploration: A Decade Looking Back and Forward

A decade-long research initiative tracking the intersection of AI and Systems Engineering has identified five critical research gaps and three evolutionary phases in the field. The study, which grew from a landmark 2020 INCOSE publication, analyzed over 2,600 papers using human-AI collaborative review to guide practitioners on AI adoption, assurance, and workforce transformation in engineering.

AINeutralarXiv – CS AI · Jun 96/10

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AI Assurance in UK Defence: Challenges in Operationalising JSP 936

A new report examines implementation challenges in JSP 936, the UK Defence Ministry's AI assurance framework, identifying eight critical gaps between policy requirements and operational deployment. The analysis suggests that while the governance framework is sound, significant technical, organizational, and methodological barriers must be resolved before AI can be safely and responsibly integrated across British military systems.