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CRISC · Question #291

Which of the following is MOST important for the organization to consider before implementing a new in-house developed artificial intelligence (Al) solution?

The correct answer is B. Expected algorithm outputs. Before implementing a new in-house AI solution, the organization must primarily consider its expected algorithm outputs to ensure the solution aligns with business goals and delivers intended results.

Submitted by hans_de· Apr 18, 2026IT Risk Assessment

Question

Which of the following is MOST important for the organization to consider before implementing a new in-house developed artificial intelligence (Al) solution?

Options

  • AIndustry trends in Al
  • BExpected algorithm outputs
  • CData feeds
  • DAlert functionality

How the community answered

(29 responses)
  • A
    7% (2)
  • B
    83% (24)
  • C
    7% (2)
  • D
    3% (1)

Why each option

Before implementing a new in-house AI solution, the organization must primarily consider its expected algorithm outputs to ensure the solution aligns with business goals and delivers intended results.

AIndustry trends in Al

Industry trends in AI provide context but are not the most critical consideration for the specific technical implementation and desired outcomes of an in-house solution.

BExpected algorithm outputsCorrect

Expected algorithm outputs are paramount because they define the core purpose and functionality of the AI solution, directly impacting its ability to meet specific business objectives and derive value. Understanding these outputs allows for proper design, development, and validation of the AI system's effectiveness and accuracy.

CData feeds

While data feeds are essential for AI models, defining the desired outputs logically precedes or occurs concurrently with identifying the necessary input data.

DAlert functionality

Alert functionality is a feature of an operational AI solution, but its consideration comes after the fundamental expected outputs have been established.

Concept tested: AI Solution Implementation Planning

Source: https://learn.microsoft.com/en-us/azure/architecture/guide/ai-ml/ai-ml-lifecycle

Topics

#AI Risk#Solution Implementation#Algorithm Validation#Risk Assessment

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