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Why is fairness, not reliability, the key responsible AI principle for a triage bot?
Prepare for the AI-900 exam by understanding Microsoft’s responsible AI principles. Learn why a triage bot prioritizing healthcare claims is a primary example of fairness, not reliability and safety, and see how to differentiate these critical concepts for building ethical AI systems.
Question
A triage bot that prioritizes healthcare claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.
A. True
B. False
Answer
B. False
Explanation
The statement is false. The scenario of a triage bot prioritizing healthcare claims based on injuries is a primary example of the Fairness principle, not the Reliability and Safety principle.
The Principle of Fairness
The principle of Fairness in responsible AI is concerned with ensuring that an AI system treats all people equitably and does not create or amplify societal biases. In the context of a healthcare triage bot, the system’s core function is to make prioritization decisions that directly affect patient outcomes. The primary ethical concern is that this prioritization must be just and impartial. The bot must base its decisions solely on relevant factors, such as the severity of the injury, and not on irrelevant or protected attributes like gender, ethnicity, or socioeconomic status. The goal is to avoid biased outcomes that could disadvantage certain groups.
Why Not Reliability and Safety?
The principle of Reliability and Safety focuses on ensuring an AI system operates dependably, consistently, and securely, and does not cause unintended harm through malfunction. While it is crucial for a healthcare bot to be reliable and safe (i.e., it should not crash or produce erratic results), this principle does not address the core ethical challenge of the task itself, which is the logic of prioritization. A bot could be perfectly reliable—consistently applying a biased rule—and still be unfair. The act of making value-based judgments to prioritize one claim over another squarely falls under the purview of Fairness.
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