What are the risks of reducing data dependency in AI systems?
Reducing data dependency can lead to less accurate models, increased bias, and limited adaptability.
Can you explain how bias can increase?
When data is limited, AI may rely on existing biases in the data, leading to skewed outcomes.
What about the adaptability of AI systems?
Less data can hinder an AI's ability to learn from new patterns, making it less effective in dynamic environments.
Are there any benefits to reducing data dependency?
Yes, it can lead to faster processing and lower storage costs, but the trade-offs must be carefully considered.
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