Which of the following AI data life cycle phases presents the GREATEST inherent risk?

The correct answer is D. Preparation. The data Preparation phase--covering sourcing, collection, labeling, cleansing, and provenance-- presents the greatest inherent risk because it is where privacy, consent, representativeness, bias, quality, lineage, and legality must be established. Decisions and defects here…

AI Security Risk Management

Question

Options

ATraining
BMaintenance
CMonitoring
DPreparation

How the community answered

(54 responses)

A
4% (2)
B
13% (7)
C
6% (3)
D
78% (42)

Explanation

The data Preparation phase--covering sourcing, collection, labeling, cleansing, and provenance-- presents the greatest inherent risk because it is where privacy, consent, representativeness, bias, quality, lineage, and legality must be established. Decisions and defects here propagate into training and downstream use, amplifying ethical, regulatory, and accuracy risks. While Training can introduce additional risks (e.g., poisoning, leakage), these are frequently mitigated by controls that depend on having trustworthy prepared data. Monitoring and Maintenance are later-life-cycle phases oriented toward detection and correction; they are critical but inherently rely on the foundation set during Preparation.

Topics

#AI data lifecycle#Data preparation risks#Inherent risk#AI security

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