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Ethical AI and Data PrivacymediumMultiple SelectObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A company is implementing Einstein Next Best Action for their customer service agents. They want to ensure that AI recommendations are provided as suggestions but that agents retain the final say. Which TWO practices support this goal of human oversight?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Configure the system to require agent confirmation before executing any AI-recommended action

Human oversight can be achieved by requiring agents to confirm before an action is taken, and by clearly presenting AI recommendations as suggestions. Disabling the AI or automating actions removes human involvement. Training agents is helpful but does not directly ensure oversight in the workflow.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Disable all AI recommendations and rely solely on agent judgment

    Why it's wrong here

    Disabling AI removes the benefit of recommendations; oversight can coexist with AI assistance.

  • Train all agents on how AI models work

    Why it's wrong here

    Training is good but does not enforce oversight in the workflow; it's a supporting activity, not a direct practice.

  • Automate the top recommendations to save agent time

    Why it's wrong here

    Automation removes human oversight; the goal is to keep the human in the loop.

  • Configure the system to require agent confirmation before executing any AI-recommended action

    Why this is correct

    Requiring confirmation ensures that agents have the final say and can override AI suggestions, directly supporting human oversight.

  • Display AI recommendations as optional suggestions that agents can accept or ignore

    Why this is correct

    Presenting recommendations as optional allows agents to use their judgment, maintaining oversight while still leveraging AI.

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