Question 13
IIIWhy is maintaining data lineage (traceability of data sources and transformations) particularly important for regulated AI systems?
Correct answer: B
Explanation
Data lineage shows “how inputs were collected and transformed,” which is essential for regulated AI because regulators and auditors need traceability of data sources and processing steps. It also supports debugging, compliance checks, and responses to rights requests by letting organizations reconstruct how a model used specific data.
Why each option is right or wrong
A. It helps the marketing team design better logos.
Logo design is unrelated to regulatory traceability, data governance, or AI audit requirements.
B. It allows organizations to understand how inputs were collected and transformed, supporting audits, debugging, compliance, and responses to rights requests.
Regulated AI systems are expected to support traceability and accountability across the data lifecycle, so maintaining lineage lets an organization reconstruct the provenance of inputs and every transformation applied before model use. That trace is what makes audits, incident debugging, compliance verification, and responses to data-subject rights requests feasible, because the organization can show what data was used, where it came from, and how it changed at each step.
C. It automatically makes models fair.
Lineage records data history; fairness requires separate evaluation, controls, and governance.
D. It guarantees models will never drift.
Drift can still occur even with traceability; lineage helps investigate it, not prevent it.