Why is continuous learning important in AI?
An example of an AI chatbot conversation about the significance of ongoing learning in AI systems.
Why is continuous learning important in AI?
Continuous learning is crucial in AI because it allows models to adapt to new data, improving accuracy and relevance.
Can you give an example of how continuous learning works in practice?
Sure! For instance, a recommendation system can update its suggestions based on user interactions over time.
What are the challenges of implementing continuous learning?
Some challenges include data quality, computational resources, and ensuring that the model doesn't forget previous knowledge.
How does continuous learning impact AI ethics?
It raises ethical concerns about bias in data, transparency in decision-making, and the accountability of AI systems.
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