
CertNexusCertified Ethical Emerging Technologist (CEET)
Domain 3Objective 2
Objective 3.2 Identify and Mitigate Accountability Risks CERTIFIED-ETHICAL-EMERGING-TECHNOLOGIST Practice Questions (Page 2)
Part of the 3.0 Risk Identification and Mitigation domain, which accounts for 30% of the CERTIFIED-ETHICAL-EMERGING-TECHNOLOGIST exam.
22questions here
5free pages
4concepts
30%of the exam
Questions 6–10
- 6
A media company is deploying an AI content moderation system. The system is used by human moderators, who are supervised by team leads, who report to a compliance officer. After a harmful post is not removed, an investigation shows the moderator thought the system had flagged it, the team lead thought the moderator had reviewed it, and the compliance officer thought the system was fully automated. The company wants to implement a fix that addresses the root cause without overburdening the moderators. Which approach is most effective?
Select an answer first - 7
A healthcare startup is developing an AI diagnostic tool. The clinical team wants final say on all medical decisions, the engineering team wants to move fast with minimal process overhead, and the compliance team requires documented approval for every model change. The startup needs to balance speed with accountability. Which governance approach best satisfies all three constraints?
Select an answer first - 8
A telecom company is deploying an AI network optimization system. The project involves network engineers, data scientists, and customer service representatives. The project manager wants to understand the flow of tasks and decisions from data collection to model deployment to identify where accountability might break down. Which method is most appropriate?
Select an answer first - 9
Which of the following is an example of an audit trail that supports accountability in an AI system?
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A financial services firm is planning a new credit-scoring model. The compliance team, data science team, and legal team all have input, but the project charter does not specify who has final authority to approve the model for production. Which method would most directly surface this accountability gap?
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