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Generative AI Fundamentals: Four Key Commitments of Google’s Responsible AI

Learn what Google’s responsible AI approach is and how it is based on four key commitments: building for everyone, respecting privacy, driving scientific excellence, and ensuring accountability and safety. Understand the examples and implications of Google’s responsible AI approach for generative AI.

Table of Contents


Google’s approach to responsible AI is based on which of the following commitments? (Select 4)

A. It’s built for everyone.
B. It respects privacy.
C. It eliminates team disagreements.
D. It’s driven by scientific excellence.
E. It’s accountable and safe.
F. It speeds up product development processes.


A. It’s built for everyone.
B. It respects privacy.
D. It’s driven by scientific excellence.
E. It’s accountable and safe.


The correct answers are A, B, D, and E.

Google’s approach to responsible AI is based on its AI Principles, which are a set of commitments that guide the development and use of artificial intelligence at Google. The AI Principles reflect Google’s values and goals for building AI that works for everyone, respects privacy, is driven by scientific excellence, and is accountable and safe.

  • It’s built for everyone. This commitment means that Google strives to make AI accessible and inclusive for all people, regardless of their background, ability, or location. Google aims to design AI systems that are fair, unbiased, and respectful of human dignity and diversity.
  • It respects privacy. This commitment means that Google protects the privacy and security of the data and information that is used or generated by its AI systems. Google follows the principles of data minimization, informed consent, and transparency, and applies rigorous safeguards and controls to prevent unauthorized access or misuse of data.
  • It’s driven by scientific excellence. This commitment means that Google pursues the highest standards of scientific rigor and innovation in its AI research and development. Google fosters a culture of curiosity, collaboration, and openness, and supports the advancement of the AI field through publications, datasets, tools, and education.
  • It’s accountable and safe. This commitment means that Google ensures that its AI systems are reliable, robust, and trustworthy. Google evaluates the potential risks and benefits of its AI systems, and implements mechanisms for testing, monitoring, and auditing their performance and behavior. Google also engages with diverse stakeholders and seeks feedback on the ethical and social implications of its AI systems.

The other options are not commitments that Google’s approach to responsible AI is based on, as they are either false or unrelated to the AI Principles:

  • It eliminates team disagreements. This option is false, as Google does not claim that its approach to responsible AI eliminates team disagreements, but rather that it encourages constructive dialogue and debate among its employees and partners. Google recognizes that there may be different perspectives and opinions on how to build and use AI responsibly, and that these may change over time as the technology and the society evolve.
  • It speeds up product development processes. This option is unrelated, as Google does not state that its approach to responsible AI speeds up product development processes, but rather that it enhances the quality and impact of its products and services. Google acknowledges that building responsible AI may require more time and resources, but that it is worth the investment to ensure that its AI systems are beneficial and aligned with its values.

Generative AI Fundamentals Exam Question and Answer

The latest Generative AI Fundamentals actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Fundamentals certificate exam and earn Generative AI Fundamentals certification.

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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