What are some common mistakes to avoid when using AI?
Some common mistakes include over-reliance on AI, neglecting data quality, and ignoring ethical considerations.
Can you elaborate on the importance of data quality?
Absolutely! High-quality data ensures that AI models are accurate and reliable, leading to better decision-making.
What ethical considerations should I keep in mind?
You should consider bias in AI, transparency in algorithms, and the impact of AI decisions on individuals and society.
How can I ensure my AI implementation is ethical?
Implement regular audits, involve diverse teams in development, and establish clear guidelines for ethical use.
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