What Is a Characteristic of AI Governance Frameworks for Trust?
Short answer
D Developing policies and guidelines for data, transparency, responsible AI, and compliance
Question
Key Takeaways
This question tests your understanding that AI governance is fundamentally about ethical policies and compliance, not just business value or growth objectives.
AI governance frameworks focus on developing policies and guidelines for data, transparency, responsible AI, and compliance. The AIF-C01 community consensus confirms option D as the correct answer for building trust in human-centered AI.
Common mistake: Choosing options A, B, or C that frame AI governance around business outcomes (business value, revenue goals, transformation) rather than the ethical and regulatory policies that build trust.
Expert Analysis
Why the Answer Is Correct
Option D directly aligns with the core purpose of AI governance frameworks: establishing policies and guidelines for data handling, transparency, responsible AI, and compliance. These elements are essential for ensuring ethical development and deployment of AI systems that earn public trust. As noted in the comments, governance frameworks are designed to address ethical, transparent, and societal values.
Why the Other Options Are Wrong
Options A, B, and C all emphasize business-centric outcomes such as expanding initiatives, aligning with revenue goals, and driving business transformation. While these can be outcomes of effective governance, they are not defining characteristics of governance frameworks themselves. The community comment explicitly points out that all other options are primarily about business growth, which misses the trust and compliance focus that is central to AI governance.
Community Comment Notes
The comment from user [2] provides a strong explanatory note: governance frameworks ensure AI is developed and deployed in an ethical, transparent way, including data usage, transparency in decision-making, responsible AI, and legal compliance. User [3] succinctly labels the distractors as business growth. These comments reinforce that D is the only option centered on the governance and policy mechanism itself.
Official Reference
- https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens/governance.html
- https://www.singaporelawwatch.sg/Portals/0/PDFs/Model%20AI%20Governance%20Framework.pdf
These links open the official vendor documentation in a new tab.
Exam Strategy
When you see 'AI governance frameworks' in the question, immediately think of policies, ethics, transparency, and compliance. Eliminate any option that discusses business value, revenue, or transformation as these are secondary outcomes, not defining characteristics.
Community Votes
100% of anonymous learners picked answer D. Votes are pick records left by other test-takers — they are not the verified answer.
Discussion 6 contributions
Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.
From public community threads 6
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Jessiii 👍 1 Answered DAI governance frameworks are designed to ensure that AI technologies are developed and deployed in a way that is ethical, transparent, and aligned with societal values. This involves creating policies and guidelines that address key areas such as data usage, transparency in AI decision-making, responsible AI practices, and compliance with legal and regulatory standards. These measures help build trust and ensure that AI technologies are human-centered and beneficial to society.
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kopper2019 👍 1D. Developing policies and guidelines for data, transparency, responsible AI, and compliance Most Voted
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chris_spencer 👍 1 Answered DD. Developing policies and guidelines for data, transparency, responsible AI, and compliance
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ajey255 👍 1 Answered DAll other options are primarily about business growth
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djeong95 👍 1 Answered DD seems to be the best answer here
Show 1 more comment
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OnePG 👍 1 Answered Dtransparency
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