Practice Test Geeks(CAIC) Certified AI Consultant Practice Test
← All CAIC Flashcard Decks

Ethical Considerations in AI Flashcards

7 cards from real CAIC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Ethical Considerations in AI flashcards as text

  1. The EU AI Act classifies AI systems into risk tiers. Which category includes biometric surveillance in public spaces?

    Answer: Unacceptable risk

    The EU AI Act places real-time remote biometric identification in public spaces in the 'unacceptable risk' category and generally prohibits it.

  2. A 'model card' is a documentation tool that primarily communicates:

    Answer: Model performance, intended uses, and known limitations

    Model cards provide structured documentation about a model's intended purpose, evaluation results, and ethical considerations for transparency.

  3. Which term describes the risk that an AI system optimizes for a measurable proxy goal instead of the intended real-world objective?

    Answer: Reward hacking / Goodhart's Law

    Reward hacking (related to Goodhart's Law) occurs when an AI exploits loopholes in the specified metric rather than achieving the true underlying goal.

  4. An AI consultant recommends deploying a facial recognition system at a client's office. What ethical obligation must be disclosed to employees?

    Answer: That their biometric data is being collected and how it will be stored

    Employees have the right to know when biometric data is collected, its purpose, and retention policies under informed consent and many data protection laws.

  5. Which approach helps ensure fairness by requiring that an AI's error rates are equalized across demographic groups?

    Answer: Equalized odds / demographic parity

    Equalized odds is a group fairness criterion requiring that true positive and false positive rates be equal across protected demographic groups.

  6. A client asks you to build an AI system that automatically rejects loan applications from certain zip codes. Your best response as an ethical AI consultant is to:

    Answer: Refuse and explain that zip codes often serve as proxies for race, violating fair lending laws

    Using zip codes as loan criteria can constitute illegal redlining by acting as a proxy for protected characteristics under the Equal Credit Opportunity Act.

  7. The principle of 'data minimization' in ethical AI means:

    Answer: Collecting only the data strictly necessary for the specified purpose

    Data minimization limits privacy risk by ensuring organizations collect, process, and retain only data truly necessary for their declared purpose.