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CertNexusCertified Ethical Emerging Technologist (CEET)

Domain 2Objective 4

Objective 2.4 Identify Ethical Challenges That May Conflict or Require Compromise with Regulatory And/or Business Constraints or Demands CERTIFIED-ETHICAL-EMERGING-TECHNOLOGIST Practice Questions (Page 3)

Part of the 2.0 Ethical Frameworks domain, which accounts for 23% of the CERTIFIED-ETHICAL-EMERGING-TECHNOLOGIST exam.

41questions here
9free pages
14concepts
23%of the exam

Questions 11–15

  1. 11expert · hard

    A multinational corporation deploys an AI hiring tool globally. In Country A, the cultural norm is to prioritize loyalty and tenure, and the local leadership wants the AI to weight these factors heavily. In Country B, the norm is to prioritize merit and innovation. The company's global ethics policy mandates equal opportunity and non-discrimination. The local leadership in Country A argues that imposing the global standard is a form of cultural imperialism. What is the most defensible approach?

    Select an answer first
  2. 12foundation · easy

    A small startup wants to deploy an AI system that processes personal data of EU citizens. They discover that full compliance with GDPR (e.g., data protection impact assessments, appointing a DPO, implementing privacy by design) would consume a significant portion of their limited budget. What is the core ethical conflict in this scenario?

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  3. 13foundation · easy

    Which of the following is an inclusive design practice that can help address cultural sensitivity in AI development?

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  4. 14application · medium

    A healthcare startup is developing a predictive model for patient readmission risk. The clinical team wants to collect comprehensive lifestyle and genetic data to maximize model accuracy, while the legal team insists on collecting only the minimum data required for the stated clinical purpose. The startup must deliver a working model within six months. Which approach best balances the competing demands?

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  5. 15foundation · easy

    A company has developed a proprietary recommendation algorithm that gives it a competitive edge. Regulators and consumer advocates demand transparency about how the algorithm makes decisions. What is the core ethical tension in this situation?

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