Key Areas of Human Involvement
Bias Mitigation: Human experts play a crucial role in identifying and addressing potential biases in AI systems, ensuring that models remain fair and ethical.
Quality Assurance: Human oversight is essential for verifying the accuracy and appropriateness of AI outputs, particularly in generative AI systems where outputs can be unpredictable.
Domain Expertise: Subject matter experts provide crucial context and validation for AI models, ensuring they align with real-world requirements and expectations.
Ethical Considerations: Human judgment is vital for ensuring AI systems adhere to ethical guidelines and societal values.