Responsible AI Principles Flashcards
6 cards from real AI-900 practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Responsible AI Principles flashcards as text
How does Responsible AI Principles relate to risk management?
Answer: It identifies, assesses, and mitigates risks specific to this domain
Responsible AI Principles helps identify, assess, and mitigate domain-specific risks as part of risk management.
What reporting is needed for Responsible AI Principles?
Answer: Regular reports to relevant stakeholders with actionable insights and metrics
Reporting on Responsible AI Principles should be regular with actionable insights and meaningful metrics.
How does Responsible AI Principles support audit requirements?
Answer: Through documented processes, evidence collection, and traceability
Responsible AI Principles supports audits through documented processes, evidence, and clear traceability.
What vendor considerations apply to Responsible AI Principles?
Answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance
Vendor considerations for Responsible AI Principles include evaluation, SLA management, and performance monitoring.
How should Responsible AI Principles be budgeted?
Answer: Based on risk assessment, expected ROI, and organizational priorities
Budget for Responsible AI Principles should be based on risk assessment, expected ROI, and organizational priorities.
What exam preparation tips apply to Responsible AI Principles?
Answer: Understand core concepts, practice with scenarios, and learn key terminology
For Responsible AI Principles exam preparation, focus on core concepts, scenario practice, and proper terminology.