Methods, evidence and responsible applications across the AI lifecycle.
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How should machine confidence route cases to expert review without overwhelming reviewers? This review answers by treating human escalation as a property of a sociotechnical workflow rather than a feature that can be read from average accur...
Read article →Which intermediate drafts should be retained for audit and learning? This review answers by treating trajectory governance as a property of a sociotechnical workflow rather than a feature that can be read from average accuracy. The focal se...
Read article →Can revision history teach reasoning strategies that isolated examples cannot? This review answers by treating lineage-aware learning as a property of a sociotechnical workflow rather than a feature that can be read from average accuracy. T...
Read article →Can one threshold govern heterogeneous language tasks? This review answers by treating cross-register calibration as a property of a sociotechnical workflow rather than a feature that can be read from average accuracy. The focal setting is...
Read article →How can intrinsic scores be checked when generator and evaluator share representations? This review answers by treating confidence auditing as a property of a sociotechnical workflow rather than a feature that can be read from average accur...
Read article →How can numerical compression be monitored when language distribution shifts? This review answers by treating quantized multilingual inference as a property of a sociotechnical workflow rather than a feature that can be read from average ac...
Read article →Can adaptive numerical precision coexist with reliable ecological decisions during seasonal shift? This review answers by treating edge robustness as a property of a sociotechnical workflow rather than a feature that can be read from averag...
Read article →Reliable deployment in instrument, sample, and analysis event logs depends on more than obtaining a strong benchmark result. This conceptual analysis uses workflow anomaly detection to study how claims travel from data to model output and t...
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