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CGEIT · Question #324

Enterprise leadership is concerned with the potential for discrimination against certain demographic groups resulting from the use of machine learning models. What should be done FIRST to address…

The correct answer is A. Obtain stakeholders' input regarding the ethics associated with machine learning. To address concerns about potential discrimination from machine learning models, the first step is to obtain stakeholders' input on the ethics associated with machine learning.

Submitted by brentm· Apr 18, 2026Governance of Enterprise IT

Question

Enterprise leadership is concerned with the potential for discrimination against certain demographic groups resulting from the use of machine learning models. What should be done FIRST to address this concern?

Options

  • AObtain stakeholders' input regarding the ethics associated with machine learning
  • BRevise the code of conduct to discourage bias within automated processes
  • CDevelop a machine learning policy articulating guidelines for machine learning use
  • DAssess recent case law related to the enterprise's machine learning business strategy

How the community answered

(34 responses)
  • A
    85% (29)
  • B
    3% (1)
  • C
    9% (3)
  • D
    3% (1)

Why each option

To address concerns about potential discrimination from machine learning models, the first step is to obtain stakeholders' input on the ethics associated with machine learning.

AObtain stakeholders' input regarding the ethics associated with machine learningCorrect

Obtaining stakeholders' input regarding the ethics associated with machine learning is the crucial first step because it establishes a shared understanding of ethical boundaries and concerns from diverse perspectives. This collaborative approach helps define the specific ethical principles and values that will guide subsequent policy development, code of conduct revisions, and technical mitigation strategies to prevent discrimination in ML models.

BRevise the code of conduct to discourage bias within automated processes

Revising the code of conduct is a subsequent action that incorporates ethical guidelines, but the initial step is to define those ethics through stakeholder engagement.

CDevelop a machine learning policy articulating guidelines for machine learning use

Developing a machine learning policy is an important output, but it should be informed by a prior understanding of ethical concerns gathered from stakeholders.

DAssess recent case law related to the enterprise's machine learning business strategy

Assessing recent case law provides legal context but does not directly address the enterprise's specific ethical concerns or build internal consensus on responsible AI practices.

Concept tested: Ethical AI governance and stakeholder engagement

Source: https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai

Topics

#Machine Learning Ethics#Stakeholder Engagement#IT Governance Principles#Responsible AI

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