AI ethics involve the moral and societal implications of AI. It is crucial to ensure that AI operates fairly and transparently as its societal integration increases.
AI built on biased data leads to biased results; strive to reduce biases when gathering data for AI training models. Fair outcomes require unbiased data.
Throughout every stage of AI development, you need to actively identify and mitigate biases. A flawed AI can reinforce existing societal disparities.
To build trust with users, ensure transparency and explainability in AI systems. Clarity in data usage is vital for user confidence.
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