Ethical Considerations and AI Text Bias

AI-generated text can inherit biases from training data, raising concerns about fairness, misinformation, and ethical responsibility. Models trained on unfiltered internet data may generate content that reflects societal prejudices.

Bias mitigation techniques, such as adversarial training and human-in-the-loop reinforcement learning, aim to improve AI-generated text fairness.