What are some common pitfalls in AI development?
An example of an AI chatbot conversation about common pitfalls in AI development.
What are some common pitfalls in AI development?
Some common pitfalls include overfitting, bias in data, lack of transparency, and ignoring ethical considerations.
Can you explain overfitting and why it's a problem?
Overfitting occurs when a model learns the training data too well, including noise, making it perform poorly on new data.
How can we avoid bias in AI models?
To avoid bias, ensure diverse training data, regularly audit models, and involve diverse teams in the development process.
What ethical considerations should we keep in mind?
Ethical considerations include privacy, accountability, fairness, and the potential impact of AI on society.
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