What are some strategies for mitigating bias in AI chatbots?
There are several strategies to mitigate bias in AI chatbots, including diverse training data, regular audits, and user feedback.
Can you explain how diverse training data helps?
Diverse training data ensures that the AI learns from a wide range of perspectives, reducing the risk of biased responses.
What role does user feedback play in this process?
User feedback helps identify biased responses, allowing developers to make necessary adjustments and improve the chatbot's performance.
Are there any tools available for auditing AI chatbots?
Yes, there are several tools like Fairness Indicators and AI Fairness 360 that help in auditing and assessing bias in AI systems.
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