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Description: Artificial Intelligence Defects.

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Artificial intelligence (AI) technology has made significant advancements in recent years, but like any technology, it is not immune to defects. AI defects refer to errors or inaccuracies in AI algorithms and systems that can lead to unintended consequences or negative outcomes.

Here are some common types of AI defects:

1. Bias : AI systems can be biased if the data used to train them is biased, leading to inaccurate or unfair predictions or decisions. This can result in discrimination against certain groups of people or even ideas. 2. Overfitting : Overfitting occurs when an AI system is trained on a limited set of data, resulting in it being too specific to that data and unable to generalize to new situations. This can lead to inaccurate predictions or decisions in real-world scenarios.    3. Data Quality Issues : AI sys

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