What are support systems for failure in AI?
Support systems for failure in AI are frameworks and tools designed to manage and mitigate errors or failures in AI systems.
Can you give me examples of these support systems?
Sure! Examples include error detection algorithms, fallback mechanisms, and user feedback loops.
How do these systems improve AI performance?
They enhance reliability, ensure continuous learning, and help maintain user trust by addressing issues proactively.
What challenges do these support systems face?
Challenges include complexity in implementation, the need for constant updates, and balancing automation with human oversight.
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