Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
An urban planning department is using an AI system to optimize traffic signal timings across a city. If the AI system makes a decision that leads to significant traffic congestion, increased accident rates, or delays for emergency services, who ultimately bears the responsibility for these consequences?
- AThe software vendor who developed the AI platform
- BThe data scientists who trained the model
- CThe urban planning department that deployed the system
- DThe AI model itself
Show answer & explanationAnswer & explanation
Correct answer: C. The urban planning department that deployed the system
The principle of Accountability states that people should be responsible for AI systems and their impact. While data scientists and vendors contribute, the entity that deploys and maintains the AI system in a real-world context, particularly one with public impact, ultimately bears the primary responsibility for its outcomes.
Why the other options are wrong
- A. The software vendor is responsible for the platform's functionality, but not unilaterally for how a specific organization deploys and manages an AI solution built on it.
- B. Data scientists are responsible for model quality, but the deploying organization holds ultimate responsibility for its real-world impact.
- D. AI models are tools and cannot bear responsibility; people are accountable for their use.
Responsible AI: Accountability
The principle that people should be accountable for the design, development, deployment, and impact of AI systems.
- Ensures human oversight and responsibility for AI actions.
- Addresses who is liable when AI systems cause harm or make errors.
- Critical for building trust and managing risks associated with AI.
Memory trick: Someone must be ACCOUNTABLE, like the captain of a ship.