What are the key steps to train a fair AI model?
To train a fair AI model, you should start with diverse data, ensure transparency, and regularly evaluate for bias.
How do I ensure my training data is diverse?
You can ensure diversity by including data from various demographics, backgrounds, and scenarios relevant to your model's application.
What tools can I use to evaluate bias in my model?
Tools like AI Fairness 360, Fairlearn, and What-If Tool can help you assess and mitigate bias in your AI models.
Can you give examples of bias in AI models?
Sure! Examples include facial recognition systems misidentifying people of color or hiring algorithms favoring certain demographics.
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