Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews

arXiv:2609.31191 · cs.SE, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.SE, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

Provenance — 16× in this paper · explained in 3 episodes
Trace — 6× in this paper · explained in 2 episodes
Accuracy — 5× in this paper · explained in 1 episode
Accountability — 4× in this paper · explained in 2 episodes
Foundation Model — 4× in this paper · explained in 3 episodes
Foundation Models — 4× in this paper · explained in 7 episodes
Agent Memory — 3× in this paper · explained in 1 episode
Agentic System — 3× in this paper · explained in 2 episodes
Verification — 3× in this paper · explained in 2 episodes
LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
Machine Unlearning — 2× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Consistency — 1× in this paper · explained in 3 episodes
Data Provenance — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Grounding — 1× in this paper · explained in 3 episodes
Pseudo-labels — 1× in this paper · explained in 2 episodes
Transferability — 1× in this paper · explained in 4 episodes

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