What are some common mistakes to avoid when using AI?
Some common mistakes include over-reliance on AI, ignoring data quality, and not considering ethical implications.
Can you elaborate on the ethical implications?
Sure! Ethical implications involve issues like bias in AI algorithms, privacy concerns, and the impact on jobs.
How can I ensure data quality for my AI projects?
To ensure data quality, focus on data cleaning, validation, and using diverse datasets to avoid bias.
What are the risks of over-reliance on AI?
Over-reliance can lead to a lack of critical thinking, reduced human oversight, and potential errors in decision-making.
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