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Generative AI Leader Practice Question: According to Google's AI Principles, which TWO of…

According to Google's AI Principles, which TWO of the following are core commitments? (Select 2)

⚠ Common exam trap

Google's AI Principles prioritize ethical commitments over technical excellence or business value. Candidates often mistakenly select options like maximizing performance or using the largest model, which are not part of Google's core AI Principles.

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

✓

Be built and tested for safety

Option D, 'Be built and tested for safety,' is correct because Google's AI Principles explicitly commit to avoiding unfair bias and ensuring AI systems are built and tested for safety, including rigorous testing for harmful outcomes and unintended behavior. Option E, 'Be socially beneficial,' is correct because the first of Google's AI Principles states that AI should be developed to benefit society broadly, considering a wide range of social and economic factors and minimizing negative impacts. These two commitments appear directly among Google's published AI Principles, which also include avoiding creating or reinforcing unfair bias, being accountable to people, incorporating privacy design principles, upholding high standards of scientific excellence, and being made available for uses that accord with these principles. Option A, 'Maximize shareholder value,' is not part of the AI Principles, as they focus on ethical and societal outcomes rather than financial returns. Option B, 'Always use the largest model available,' is not a commitment, since the principles emphasize appropriate and beneficial use of AI rather than model size. Option C, 'Achieve state-of-the-art performance on all benchmarks,' is not a stated commitment, as the principles prioritize safety, benefit, and responsibility over benchmark leadership.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Maximize shareholder value

    Why it's wrong here

    Shareholder value is a corporate financial objective, absent from Google's AI Principles, which address beneficial social use, avoiding bias, safety, accountability and privacy. It is tempting because businesses pursue profit, and would be correct if the question asked about commercial strategy rather than published AI ethics commitments.

  • ✗

    Always use the largest model available

    Why it's wrong here

    Google's AI Principles commit to beneficial, accountable, privacy-preserving development, not to always selecting the largest model; model size is a deployment trade-off against latency, cost and energy. Largest models are chosen when maximum capability outweighs those costs, but the Principles never mandate it.

  • ✗

    Achieve state-of-the-art performance on all benchmarks

    Why it's wrong here

    Not a principle.

  • ✓

    Be built and tested for safety

    Why this is correct

    Being built and tested for safety is one of Google's published AI Principles commitments, sitting alongside avoiding bias and upholding privacy. It satisfies the stem's requirement for a core commitment by mandating rigorous testing throughout development, ensuring systems behave safely before deployment and throughout their operational life.

  • ✓

    Be socially beneficial

    Why this is correct

    Being socially beneficial is one of Google's published AI Principles, committing Google to develop AI that delivers broad social benefit while avoiding unfair bias and harm. It satisfies the stem's requirement for a core commitment, alongside avoiding creating or reinforcing unfair bias, and upholding high standards of scientific excellence.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.