How can we design effective fail-safes in AI systems?
Designing effective fail-safes involves identifying potential failure points and implementing redundancy.
What are some common failure points in AI systems?
Common failure points include data bias, system overload, and unexpected user behavior.
Can you give an example of a fail-safe in action?
Sure! In autonomous vehicles, if a sensor fails, the system can switch to a backup sensor to maintain safety.
How do we test these fail-safes?
Testing can involve simulations, stress tests, and real-world scenarios to ensure reliability under various conditions.
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