Why C is the answer

Models can produce output that sounds right but is wrong

Generated content can be inaccurate, so review stays important in high-impact uses.

In detail

• Models can produce output that sounds right but is wrong.
• Review more closely when mistakes cost more.

See it in different ways

mindmap
  root((Responsible AI))
    Fairness
    Reliability and safety
    Privacy and security
    Inclusiveness
    Transparency
    Accountability

sequenceDiagram
  participant U as User
  participant M as Model
  participant K as Knowledge source
  U->>M: Question
  M->>K: Finds relevant content
  K-->>M: Passages
  M-->>U: Answer based on them
  U->>U: Still checks what matters

flowchart LR
  S0["Generated content"] --> S1["Human review"] --> S2["Corrected"] --> S3["Published"]

Why the other options are wrong

A. People are required for the model to start at all

A person is not needed for a model to start.

B. Review makes each request cheaper to process

Review does not lower request cost.

D. Models cannot produce text in more than one language

Models can produce many languages.

Related questions

• Question 12A company names a team responsible for reviewing its AI system's decisions. Which principle does this support?
• Question 31Does grounding a model in your own data guarantee correct answers?
• Question 1A bank must be able to explain to a customer why an AI system declined their loan. Which responsible AI principle is this?
• Question 9A hiring model scores one group lower than others with equal qualifications. Which principle is at risk?

Learn more

• Our lesson: Building in Foundry
• What is Microsoft Foundry?
• Foundry Agent Service
• Content Understanding