What Is a Characteristic of AI Governance Frameworks for Trust?

AI Governance

Which option is a characteristic of AI governance frameworks for building trust and deploying human-centered AI technologies?

  1. Expanding initiatives across business units to create long-term business value
  2. Ensuring alignment with business standards, revenue goals, and stakeholder expectations
  3. Overcoming challenges to drive business transformation and growth
  4. Developing policies and guidelines for data, transparency, responsible AI, and compliance Source Reference Answer

Community Votes

D
100%

100% of anonymous learners picked answer D. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

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.

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.

Community Discussion (6 comments)

kopper2019 👍 1
D. Developing policies and guidelines for data, transparency, responsible AI, and compliance Most Voted
Jessiii 👍 1 Selected: D
AI 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.
ajey255 👍 1 Selected: D
All other options are primarily about business growth
OnePG 👍 1 Selected: D
transparency
djeong95 👍 1 Selected: D
D seems to be the best answer here
chris_spencer 👍 1 Selected: D
D. Developing policies and guidelines for data, transparency, responsible AI, and compliance

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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

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.

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