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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 8)

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 36–40

  1. 36application · medium

    A research lab has developed a highly capable AI system for detecting malware. The lab is considering releasing the model's weights and code as open source to democratize access to cybersecurity tools. However, the same system could be repurposed to generate highly evasive malware. What is the most responsible release strategy?

    Select an answer first
  2. 37foundation · easy

    A medical research institute wants to train an AI model to detect rare diseases. They need a large dataset of patient images, but privacy regulations restrict the sharing of personal health information. What is the core ethical conflict in this scenario?

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  3. 38foundation · easy

    A tech company publishes a detailed 'AI Ethics Principles' document, hires a Chief Ethics Officer, and runs ethics training for employees. However, internal audits reveal that the company continues to deploy AI systems with known biases and fails to act on ethics committee recommendations. This behavior is best described as:

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  4. 39expert · hard

    A medical research institute needs a large dataset of patient records to train a model that predicts rare disease outcomes. The dataset must include detailed genetic and lifestyle information, which is highly sensitive. Direct patient consent was not obtained for this secondary use. The institute is considering using synthetic data generated from the real dataset. What is the most important limitation of this approach?

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  5. 40foundation · easy

    A large online retailer uses its proprietary customer data to optimize its recommendation engine, making its service increasingly superior to competitors who lack similar data. This creates a cycle where the retailer gains more customers and more data, further widening the gap. What is this phenomenon called?

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