Qualitative review of ASB 018 and five audit reports shows that compliant audits of DNA genotyping software often fail to establish usage boundaries despite observed failures due to vague language in the standard.
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DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
AdaQE-CG uses context-aware adaptive query expansion and inter-card knowledge transfer from a MetaGAI Pool to generate higher-quality model and data cards than prior methods, validated on the new expert-annotated MetaGAI-Bench.
Interviews show data leakage knowledge in automotive perception is widespread yet fragmented by role, with prevention relying on experience and sharing rather than specific tools, framing it as a socio-technical coordination issue.
citing papers explorer
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Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software
Qualitative review of ASB 018 and five audit reports shows that compliant audits of DNA genotyping software often fail to establish usage boundaries despite observed failures due to vague language in the standard.
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AI Disclosure with DAISY
DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
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AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
AdaQE-CG uses context-aware adaptive query expansion and inter-card knowledge transfer from a MetaGAI Pool to generate higher-quality model and data cards than prior methods, validated on the new expert-annotated MetaGAI-Bench.
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Data Leakage in Automotive Perception: Practitioners' Insights
Interviews show data leakage knowledge in automotive perception is widespread yet fragmented by role, with prevention relying on experience and sharing rather than specific tools, framing it as a socio-technical coordination issue.