What are the safety protocols for AI training?
Safety protocols for AI training include data privacy, bias mitigation, and ensuring transparency in algorithms.
Can you explain how bias mitigation works?
Bias mitigation involves identifying and reducing biases in training data to ensure fair and equitable AI outcomes.
What measures are taken to ensure data privacy?
Data privacy measures include anonymizing data, implementing access controls, and complying with regulations like GDPR.
Are there any specific guidelines for ethical AI training?
Yes, guidelines often include fairness, accountability, and transparency, ensuring AI systems are developed responsibly.
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