What are some examples of reliability in AI?
Reliability in AI refers to the consistency and dependability of AI systems. For example, self-driving cars must reliably interpret sensor data to navigate safely.
Can you give me more specific examples?
Sure! In healthcare, AI systems are used to predict patient outcomes reliably. In finance, algorithms assess credit risk consistently.
How do we measure the reliability of an AI system?
Reliability can be measured through metrics like accuracy, precision, recall, and the system's performance over time under various conditions.
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