Which of the following is the MOST important task when gathering data during the AI system development process?

The correct answer is C. Cleaning the data. Cleaning the data (C) is the most important task because AI model quality is directly determined by data quality-'garbage in, garbage out.' Data cleaning addresses errors, inconsistencies, duplicates, missing values, and outliers that would corrupt model training and degrade pred

AI Risk Management and Controls

Question

Options

AStratifying the data
BIsolating the system
CCleaning the data
DTraining the system

How the community answered

(33 responses)

A
3% (1)
B
6% (2)
C
91% (30)

Explanation

Cleaning the data (C) is the most important task because AI model quality is directly determined by data quality-'garbage in, garbage out.' Data cleaning addresses errors, inconsistencies, duplicates, missing values, and outliers that would corrupt model training and degrade predictions. Without clean data, all subsequent steps fail regardless of sophistication. Stratifying data (A) ensures representative sampling but is meaningless on corrupt data. Isolating the system (B) is a security/environment concern, not a data quality task. Training the system (D) is a downstream step that depends on having clean, well-prepared data first.

Topics

#Data cleaning#Data quality#AI system development#Data preparation

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