What are the ethical considerations in AI documentation?
Ethical considerations in AI documentation include transparency, accountability, and bias mitigation.
Can you elaborate on transparency in AI documentation?
Transparency involves clearly explaining how AI systems work, their limitations, and the data used for training.
How can we ensure accountability in AI systems?
Accountability can be ensured by establishing clear guidelines for AI usage and having mechanisms for redress.
What steps can be taken to mitigate bias in AI documentation?
To mitigate bias, it's important to use diverse datasets, conduct regular audits, and involve diverse teams in development.
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