AI Bias Isn't Just a Model Problem – It's a Data Supply Chain Problem
· Source: rtinsights.com
In short
AI bias is fundamentally a data supply chain issue that originates early in the data pipeline stages of sourcing, labeling, and preprocessing, rather than being purely an algorithmic problem. The article advocates for treating AI development like a supply chain with validation checkpoints at each stage to prevent bias from compounding. Organizations need interdisciplinary teams and governance frameworks to address bias systematically from data collection through deployment.
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In the issue of week 44, 2025: Agentic AI Drives Unmatched Productivity and Resilience in Supply Chains
Tags: bias, data, governance, fairness, validation, quality