AIF-C01 Guidelines for Responsible AI Practice Question
Which TWO of the following are key components of a responsible AI governance framework?
⚠ Common exam trap
The AIF-C01 exam often tests the distinction between mere legal compliance and comprehensive ethical governance, trapping candidates who think that meeting regulatory requirements alone constitutes responsible AI, while ignoring proactive fairness and transparency measures.
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
✓
Develop and enforce AI ethics policies and standards
A responsible AI governance framework must include the development and enforcement of AI ethics policies and standards to ensure alignment with societal values, fairness, and accountability. These policies guide the design, deployment, and monitoring of AI systems, embedding ethical principles such as transparency, privacy, and non-discrimination into the AI lifecycle. Without such policies, organizations risk deploying AI that violates ethical norms or regulatory expectations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Develop and enforce AI ethics policies and standards
Why this is correct
Policies provide the foundation for governance.
- ✗
Focus solely on compliance with legal regulations
Why it's wrong here
Governance extends beyond legal compliance to ethics.
- ✗
Minimize human involvement in AI lifecycle decisions
Why it's wrong here
Human involvement is essential for accountability and oversight.
- ✓
Conduct regular bias and fairness impact assessments
Why this is correct
Assessments ensure ongoing compliance with ethical standards.
- ✗
Deploy AI models as black boxes to avoid scrutiny
Why it's wrong here
Black boxes reduce transparency and accountability.
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