Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A healthcare provider is developing an AI system to assist doctors in diagnosing rare diseases. The system analyzes patient symptoms, medical history, and lab results to suggest potential diagnoses. To build trust and ensure ethical practice, the provider mandates that the AI's diagnostic suggestions must always be reviewed and ultimately approved by a human doctor, who bears the final responsibility for the patient's care. Which Responsible AI guiding principle is being emphasized here?
- ATransparency
- BFairness
- CAccountability
- DInclusiveness
Show answer & explanationAnswer & explanation
Correct answer: C. Accountability
The requirement that a human doctor 'bears the final responsibility' for the AI's diagnostic suggestions directly relates to the principle of Accountability. This principle ensures that humans remain responsible for the AI's actions and outcomes.
Why the other options are wrong
- A. Transparency is about explaining AI decisions, not assigning ultimate responsibility for outcomes.
- B. Fairness ensures equitable treatment and non-discrimination, which is important but not the primary emphasis of ultimate human responsibility.
- D. Inclusiveness focuses on empowering everyone and engaging diverse perspectives, not on who bears final responsibility.
Responsible AI: Accountability
Accountability in Responsible AI means that people should be ultimately responsible for AI systems and their impact, with clear mechanisms for oversight and redress.
- Ensures human oversight and ultimate decision-making, especially in high-stakes scenarios.
- Establishes clear lines of responsibility for AI system development, deployment, and operation.
- Crucial for building trust and addressing potential harms caused by AI.
Memory trick: Accountability: Humans are always *accountable* for AI's actions.